diff --git a/examples/advanced-use-cases/ai-room-renovate/config.yaml b/examples/advanced-use-cases/ai-room-renovate/config.yaml
new file mode 100644
index 00000000..0dc5e7ee
--- /dev/null
+++ b/examples/advanced-use-cases/ai-room-renovate/config.yaml
@@ -0,0 +1,86 @@
+modules:
+  - class: modules::stream::StreamModule
+    config:
+      port: ${STREAMS_PORT:3112}
+      host: 127.0.0.1
+      adapter:
+        class: modules::stream::adapters::KvStore
+        config:
+          store_method: file_based
+          file_path: ./data/streams_store
+
+  - class: modules::state::StateModule
+    config:
+      adapter:
+        class: modules::state::adapters::KvStore
+        config:
+          store_method: file_based
+          file_path: ./data/state_store.db
+
+  - class: modules::api::RestApiModule
+    config:
+      port: 3111
+      host: 127.0.0.1
+      default_timeout: 30000
+      concurrency_request_limit: 1024
+      cors:
+        allowed_origins:
+          - '*'
+        allowed_methods:
+          - GET
+          - POST
+          - PUT
+          - DELETE
+          - OPTIONS
+
+  - class: modules::observability::OtelModule
+    config:
+      enabled: ${OTEL_ENABLED:true}
+      service_name: ${OTEL_SERVICE_NAME:iii-engine}
+      service_version: ${SERVICE_VERSION:0.2.0}
+      service_namespace: ${SERVICE_NAMESPACE:production}
+      exporter: ${OTEL_EXPORTER_TYPE:memory}
+      endpoint: ${OTEL_EXPORTER_OTLP_ENDPOINT:http://localhost:4317}
+      sampling_ratio: 1.0
+      memory_max_spans: ${OTEL_MEMORY_MAX_SPANS:10000}
+      metrics_enabled: true
+      metrics_exporter: ${OTEL_METRICS_EXPORTER:memory}
+      metrics_retention_seconds: 3600
+      metrics_max_count: 10000
+      logs_enabled: ${OTEL_LOGS_ENABLED:true}
+      logs_exporter: ${OTEL_LOGS_EXPORTER:memory}
+      logs_max_count: ${OTEL_LOGS_MAX_COUNT:1000}
+      logs_retention_seconds: ${OTEL_LOGS_RETENTION_SECONDS:3600}
+      logs_sampling_ratio: ${OTEL_LOGS_SAMPLING_RATIO:1.0}
+
+  - class: modules::queue::QueueModule
+    config:
+      adapter:
+        class: modules::queue::BuiltinQueueAdapter
+
+  - class: modules::pubsub::PubSubModule
+    config:
+      adapter:
+        class: modules::pubsub::LocalAdapter
+
+  - class: modules::cron::CronModule
+    config:
+      adapter:
+        class: modules::cron::KvCronAdapter
+
+  - class: modules::shell::ExecModule
+    config:
+      watch:
+        - steps/**/*.ts
+
+      exec:
+        - npx motia dev
+        - bun run --enable-source-maps dist/index-dev.js
+
+  - class: modules::shell::ExecModule
+    config:
+      watch:
+        - steps/**/*.py
+
+      exec:
+        - uv run motia run --dir steps
diff --git a/examples/advanced-use-cases/ai-room-renovate/motia-workbench.json b/examples/advanced-use-cases/ai-room-renovate/motia-workbench.json
deleted file mode 100644
index 5ef4cbb0..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/motia-workbench.json
+++ /dev/null
@@ -1,62 +0,0 @@
-[
-  {
-    "id": "hello-world-flow",
-    "config": {
-      "steps/hello/process_greeting_step.py": {
-        "x": 397,
-        "y": 44
-      },
-      "steps/hello/hello_api_step.py": {
-        "x": -33,
-        "y": 0
-      }
-    }
-  },
-  {
-    "id": "home-renovation",
-    "config": {
-      "steps/renovation/visual_assessor.step.ts": {
-        "x": 233,
-        "y": 91
-      },
-      "steps/renovation/start_renovation.step.ts": {
-        "x": -390,
-        "y": 236
-      },
-      "steps/renovation/project_coordinator.step.ts": {
-        "x": 1195,
-        "y": 81
-      },
-      "steps/renovation/info_handler.step.ts": {
-        "x": 219,
-        "y": 505
-      },
-      "steps/renovation/get_renovation_result.step.ts": {
-        "x": 892,
-        "y": 505,
-        "targetHandlePosition": "top"
-      },
-      "steps/renovation/get_rendering.step.ts": {
-        "x": 1841,
-        "y": -100
-      },
-      "steps/renovation/edit_rendering_api.step.ts": {
-        "x": 1844,
-        "y": 157
-      },
-      "steps/renovation/design_planner.step.ts": {
-        "x": 662,
-        "y": 110,
-        "sourceHandlePosition": "right"
-      },
-      "steps/renovation/generate_rendering_step.py": {
-        "x": 1842,
-        "y": 464
-      },
-      "steps/renovation/edit_rendering_step.py": {
-        "x": 2262,
-        "y": 192
-      }
-    }
-  }
-]
\ No newline at end of file
diff --git a/examples/advanced-use-cases/ai-room-renovate/motia.config.ts b/examples/advanced-use-cases/ai-room-renovate/motia.config.ts
deleted file mode 100644
index c250ef7f..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/motia.config.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { config } from '@motiadev/core'
-const statesPlugin = require('@motiadev/plugin-states/plugin')
-const endpointPlugin = require('@motiadev/plugin-endpoint/plugin')
-const logsPlugin = require('@motiadev/plugin-logs/plugin')
-const observabilityPlugin = require('@motiadev/plugin-observability/plugin')
-
-export default config({
-  plugins: [observabilityPlugin, statesPlugin, endpointPlugin, logsPlugin],
-})
diff --git a/examples/advanced-use-cases/ai-room-renovate/package.json b/examples/advanced-use-cases/ai-room-renovate/package.json
index f6074d99..995aeabb 100644
--- a/examples/advanced-use-cases/ai-room-renovate/package.json
+++ b/examples/advanced-use-cases/ai-room-renovate/package.json
@@ -3,30 +3,20 @@
   "version": "1.0.0",
   "description": "AI Home Renovation Planner - A multi-agent Motia workflow that analyzes photos, creates personalized renovation plans, and generates comprehensive project roadmaps",
   "scripts": {
-    "postinstall": "motia install",
-    "dev": "motia dev",
-    "generate-types": "motia generate-types",
-    "build": "motia build",
-    "clean": "rm -rf dist node_modules python_modules .motia .mermaid"
+    "start": "bun run --enable-source-maps dist/index-dev.js",
+    "dev": "iii",
+    "dev:py": "uv run motia dev --dir steps --watch",
+    "build": "npx motia dev"
   },
   "keywords": [
     "motia"
   ],
   "dependencies": {
-    "@motiadev/core": "^0.9.0-beta.145",
-    "@motiadev/plugin-endpoint": "^0.9.0-beta.145",
-    "@motiadev/plugin-logs": "^0.9.0-beta.145",
-    "@motiadev/plugin-observability": "^0.9.0-beta.145",
-    "@motiadev/plugin-states": "^0.9.0-beta.145",
-    "motia": "^0.9.0-beta.145",
+    "motia": "1.0.0-rc.14",
     "zod": "^3.24.4"
   },
   "devDependencies": {
-    "@jest/globals": "^29.7.0",
-    "@types/jest": "^29.5.14",
     "@types/react": "^19.1.1",
-    "jest": "^29.7.0",
-    "ts-jest": "^29.4.5",
     "ts-node": "^10.9.2",
     "typescript": "^5.7.3"
   }
diff --git a/examples/advanced-use-cases/ai-room-renovate/pyproject.toml b/examples/advanced-use-cases/ai-room-renovate/pyproject.toml
new file mode 100644
index 00000000..d6d88ab3
--- /dev/null
+++ b/examples/advanced-use-cases/ai-room-renovate/pyproject.toml
@@ -0,0 +1,20 @@
+[project]
+name = "ai-room-renovate"
+version = "0.1.0"
+description = "AI Home Renovation Planner"
+requires-python = ">=3.10"
+dependencies = [
+  "motia[otel]==1.0.0-rc.22",
+  "iii-sdk==0.2.0",
+  "pydantic>=2.0",
+  "google-adk>=0.1.0",
+  "google-genai>=0.2.0",
+]
+
+[project.optional-dependencies]
+dev = [
+  "pytest>=8.0.0",
+]
+
+[tool.uv]
+package = false
diff --git a/examples/advanced-use-cases/ai-room-renovate/requirements.txt b/examples/advanced-use-cases/ai-room-renovate/requirements.txt
deleted file mode 100644
index e8a9161c..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/requirements.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-# Google ADK for Gemini 2.5 Flash Image Generation
-# This is what the original repo uses: https://github.com/Shubhamsaboo/awesome-llm-apps
-google-adk>=0.1.0
-
-# Fallback: If google-adk not available, use google-genai
-google-genai>=0.2.0
-
-# Environment variables
-python-dotenv>=1.0.0
-
-# Pydantic for validation
-pydantic>=2.0.0
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.ts
index e19ef520..dd9bf1d3 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.ts
@@ -3,7 +3,7 @@
  * Second step in the renovation planning pipeline
  */
 
-import { EventConfig, Handlers } from 'motia';
+import { queue, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 import { calculateTimeline } from '../../utils/renovation-tools';
 
@@ -11,17 +11,15 @@ const inputSchema = z.object({
   sessionId: z.string(),
 });
 
-export const config: EventConfig = {
-  type: 'event',
+export const config = {
   name: 'DesignPlanner',
   description: 'Creates detailed design plans with materials and specifications',
-  subscribes: ['renovation.design'],
-  emits: ['renovation.coordinate'],
-  input: inputSchema,
+  triggers: [queue('renovation.design', { input: inputSchema })],
+  enqueues: ['renovation.coordinate'],
   flows: ['home-renovation'],
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['DesignPlanner'] = async (input, { emit, logger, state }) => {
+export const handler: Handlers<typeof config> = async (input, { enqueue, logger, state }) => {
   const { sessionId } = input;
 
   logger.info('Starting design planning', { sessionId });
@@ -64,7 +62,7 @@ export const handler: Handlers['DesignPlanner'] = async (input, { emit, logger,
   await state.set(sessionId, 'scope', scope);
 
   // Emit to project coordinator
-  await emit({
+  await enqueue({
     topic: 'renovation.coordinate',
     data: {
       sessionId,
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.tsx
deleted file mode 100644
index 3586cf66..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/design_planner.step.tsx
+++ /dev/null
@@ -1,28 +0,0 @@
-/**
- * UI Override for Design Planner Event Step
- */
-
-import { EventNode, EventNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<EventNodeProps> = (props) => {
-  return (
-    <EventNode {...props}>
-      <div className="flex items-start gap-3 p-3">
-        <div className="text-3xl">🎨</div>
-        <div className="flex-1">
-          <h4 className="text-sm font-semibold text-gray-900">Design Planner</h4>
-          <p className="text-xs text-gray-500 mt-1">
-            Creates detailed design plans with materials, colors, and specifications
-          </p>
-          <div className="flex flex-wrap gap-1 mt-2">
-            <span className="text-xs bg-pink-50 text-pink-700 px-2 py-0.5 rounded">Materials</span>
-            <span className="text-xs bg-amber-50 text-amber-700 px-2 py-0.5 rounded">Colors</span>
-            <span className="text-xs bg-indigo-50 text-indigo-700 px-2 py-0.5 rounded">Timeline</span>
-          </div>
-        </div>
-      </div>
-    </EventNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_step.py b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit-rendering_step.py
similarity index 61%
rename from examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_step.py
rename to examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit-rendering_step.py
index 93e96302..6ec0ec6a 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_step.py
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit-rendering_step.py
@@ -3,94 +3,94 @@
 Editing works by regenerating the image with modified prompts, not direct image editing
 """
 
-import os
 import base64
 import logging
+import os
 from datetime import datetime
 from typing import Any, Dict
+
+from motia import FlowContext, queue
 from pydantic import BaseModel
 
 # Google Generative AI imports
 try:
     from google import genai
     from google.genai import types
+
     GENAI_AVAILABLE = True
 except ImportError:
     GENAI_AVAILABLE = False
 
 logger = logging.getLogger(__name__)
 
+
 class EditRenderingInput(BaseModel):
     session_id: str
     edit_prompt: str
 
+
 # Event Step Configuration
 config = {
-    "type": "event",
     "name": "EditRendering",
     "description": "Edits existing renovation renderings by regenerating with modified prompts",
-    "subscribes": ["renovation.edit"],
-    "emits": [],
-    "input": EditRenderingInput.model_json_schema(),
-    "flows": ["home-renovation"]
+    "triggers": [queue("renovation.edit", input=EditRenderingInput.model_json_schema())],
+    "enqueues": [],
+    "flows": ["home-renovation"],
 }
 
-async def handler(input_data, context):
+
+async def handler(input_data: dict[str, Any], ctx: FlowContext[Any]) -> None:
     """
     Edit a rendering by regenerating it with modified prompts.
-    
+
     Image editing in Gemini works by regenerating, not direct pixel manipulation.
     """
     session_id = input_data.get("session_id")
     edit_prompt = input_data.get("edit_prompt")
-    
-    context.logger.info("Starting rendering edit with Gemini 2.5 Flash", {
-        "session_id": session_id,
-        "edit_prompt": edit_prompt
-    })
-    
+
+    ctx.logger.info(
+        "Starting rendering edit with Gemini 2.5 Flash", {"session_id": session_id, "edit_prompt": edit_prompt}
+    )
+
     # Check if SDK is available
     if not GENAI_AVAILABLE:
         error_msg = "google-genai SDK not installed"
-        context.logger.error("SDK not available", {"session_id": session_id})
-        await context.state.set(session_id, "editError", error_msg)
+        ctx.logger.error("SDK not available", {"session_id": session_id})
+        await ctx.state.set(session_id, "editError", error_msg)
         return
-    
+
     # Get API key
     api_key = os.environ.get("GOOGLE_API_KEY") or os.environ.get("GEMINI_API_KEY")
     if not api_key:
         error_msg = "GOOGLE_API_KEY not found"
-        context.logger.error("API key missing", {"session_id": session_id})
-        await context.state.set(session_id, "editError", error_msg)
+        ctx.logger.error("API key missing", {"session_id": session_id})
+        await ctx.state.set(session_id, "editError", error_msg)
         return
-    
+
     # Get the original roadmap to get the base rendering prompt
-    roadmap = await context.state.get(session_id, "roadmap")
+    roadmap = await ctx.state.get(session_id, "roadmap")
     if not roadmap:
-        context.logger.error("No roadmap found", {"session_id": session_id})
-        await context.state.set(session_id, "editError", "No roadmap found")
+        ctx.logger.error("No roadmap found", {"session_id": session_id})
+        await ctx.state.set(session_id, "editError", "No roadmap found")
         return
-    
+
     # Unwrap data if needed
     if isinstance(roadmap, dict) and "data" in roadmap:
         roadmap = roadmap["data"]
-    
+
     original_prompt = roadmap.get("renderingPrompt", "") if isinstance(roadmap, dict) else ""
-    
+
     if not original_prompt:
-        context.logger.error("No original prompt found", {"session_id": session_id})
-        await context.state.set(session_id, "editError", "Cannot edit without original prompt")
+        ctx.logger.error("No original prompt found", {"session_id": session_id})
+        await ctx.state.set(session_id, "editError", "Cannot edit without original prompt")
         return
-    
-    context.logger.info("Original prompt retrieved", {
-        "session_id": session_id,
-        "original_length": len(original_prompt)
-    })
-    
+
+    ctx.logger.info("Original prompt retrieved", {"session_id": session_id, "original_length": len(original_prompt)})
+
     try:
         # Initialize client
         client = genai.Client(api_key=api_key)
-        
+
         # Build enhanced edit prompt
         combined_prompt = f"""{original_prompt}
 
@@ -106,52 +106,45 @@ async def handler(input_data, context):
 - Only change what was explicitly requested in the modification
 
 This is an edited version, ID: edit_{datetime.now().timestamp()}"""
-        
-        context.logger.info("Building enhanced edit prompt", {
-            "session_id": session_id,
-            "combined_length": len(combined_prompt)
-        })
-        
+
+        ctx.logger.info(
+            "Building enhanced edit prompt", {"session_id": session_id, "combined_length": len(combined_prompt)}
+        )
+
         # Enhance the edit prompt with Gemini
         rewrite_prompt = f"""
         Create a photorealistic interior rendering prompt that incorporates a modification.
-        
+
         Original specifications: {combined_prompt}
-        
+
         Output a single detailed paragraph optimized for image generation that:
         1. Incorporates the requested modification
         2. Preserves all other original specifications
         3. Maintains the same style, layout, and quality
-        
+
         Be specific and detailed.
         """
-        
-        rewritten_response = client.models.generate_content(
-            model="gemini-2.5-flash",
-            contents=rewrite_prompt
-        )
+
+        rewritten_response = client.models.generate_content(model="gemini-2.5-flash", contents=rewrite_prompt)
         enhanced_edit_prompt = rewritten_response.text
-        
-        context.logger.info("Edit prompt enhanced, generating image", {
-            "session_id": session_id,
-            "enhanced_length": len(enhanced_edit_prompt)
-        })
-        
+
+        ctx.logger.info(
+            "Edit prompt enhanced, generating image",
+            {"session_id": session_id, "enhanced_length": len(enhanced_edit_prompt)},
+        )
+
         # Generate the edited image using gemini-2.5-flash-image
         model = "gemini-2.5-flash-image"
-        
+
         content_parts = [types.Part.from_text(text=enhanced_edit_prompt)]
         contents = [types.Content(role="user", parts=content_parts)]
-        
+
         generate_config = types.GenerateContentConfig(
             response_modalities=["IMAGE", "TEXT"],
         )
-        
-        context.logger.info("Calling Gemini 2.5 Flash Image for edit", {
-            "session_id": session_id,
-            "model": model
-        })
-        
+
+        ctx.logger.info("Calling Gemini 2.5 Flash Image for edit", {"session_id": session_id, "model": model})
+
         # Generate the edited image
         image_generated = False
         for chunk in client.models.generate_content_stream(
@@ -165,26 +158,29 @@ async def handler(input_data, context):
                 or chunk.candidates[0].content.parts is None
             ):
                 continue
-            
+
             # Check for image data
-            if chunk.candidates[0].content.parts[0].inline_data and chunk.candidates[0].content.parts[0].inline_data.data:
+            if (
+                chunk.candidates[0].content.parts[0].inline_data
+                and chunk.candidates[0].content.parts[0].inline_data.data
+            ):
                 inline_data = chunk.candidates[0].content.parts[0].inline_data
-                
+
                 # Extract image bytes
                 edited_image_bytes = inline_data.data
                 mime_type = inline_data.mime_type or "image/png"
-                
+
                 # Convert to base64
-                edited_image_base64 = base64.b64encode(edited_image_bytes).decode('utf-8')
-                
+                edited_image_base64 = base64.b64encode(edited_image_bytes).decode("utf-8")
+
                 # Get current rendering to track version
-                existing_rendering = await context.state.get(session_id, "rendering")
+                existing_rendering = await ctx.state.get(session_id, "rendering")
                 if isinstance(existing_rendering, dict) and "data" in existing_rendering:
                     existing_rendering = existing_rendering["data"]
-                
+
                 current_version = existing_rendering.get("version", 1) if existing_rendering else 1
                 new_version = current_version + 1
-                
+
                 # Store the edited image
                 edited_rendering_data = {
                     "imageBase64": edited_image_base64,
@@ -193,60 +189,57 @@ async def handler(input_data, context):
                     "model": model,
                     "prompt": enhanced_edit_prompt,  # Store full prompt
                     "editPrompt": edit_prompt,
-                    "version": new_version
+                    "version": new_version,
                 }
-                
-                await context.state.set(session_id, "rendering", edited_rendering_data)
-                await context.state.set(session_id, "renderingCompleted", True)
-                
+
+                await ctx.state.set(session_id, "rendering", edited_rendering_data)
+                await ctx.state.set(session_id, "renderingCompleted", True)
+
                 # Store edit history
-                edit_history = await context.state.get(session_id, "editHistory")
+                edit_history = await ctx.state.get(session_id, "editHistory")
                 if not edit_history or not isinstance(edit_history, list):
                     edit_history = []
-                
+
                 # If it's wrapped in data, unwrap it
                 if isinstance(edit_history, dict) and "data" in edit_history:
                     edit_history = edit_history["data"]
                     if not isinstance(edit_history, list):
                         edit_history = []
-                
-                edit_history.append({
-                    "editPrompt": edit_prompt,
-                    "version": new_version,
-                    "editedAt": datetime.now().isoformat()
-                })
-                await context.state.set(session_id, "editHistory", edit_history)
-                
-                context.logger.info("Rendering edited successfully", {
-                    "session_id": session_id,
-                    "version": new_version,
-                    "image_size_bytes": len(edited_image_bytes),
-                    "image_size_base64": len(edited_image_base64)
-                })
-                
+
+                edit_history.append(
+                    {"editPrompt": edit_prompt, "version": new_version, "editedAt": datetime.now().isoformat()}
+                )
+                await ctx.state.set(session_id, "editHistory", edit_history)
+
+                ctx.logger.info(
+                    "Rendering edited successfully",
+                    {
+                        "session_id": session_id,
+                        "version": new_version,
+                        "image_size_bytes": len(edited_image_bytes),
+                        "image_size_base64": len(edited_image_base64),
+                    },
+                )
+
                 image_generated = True
                 break
             else:
                 # Log text responses
-                if hasattr(chunk.candidates[0].content.parts[0], 'text') and chunk.candidates[0].content.parts[0].text:
+                if hasattr(chunk.candidates[0].content.parts[0], "text") and chunk.candidates[0].content.parts[0].text:
                     text_response = chunk.candidates[0].content.parts[0].text
-                    context.logger.info("Model text response during edit", {
-                        "session_id": session_id,
-                        "response": text_response[:100]
-                    })
-        
+                    ctx.logger.info(
+                        "Model text response during edit", {"session_id": session_id, "response": text_response[:100]}
+                    )
+
         if not image_generated:
             error_msg = "No edited image was generated"
-            context.logger.error("Edit failed", {"session_id": session_id})
-            await context.state.set(session_id, "editError", error_msg)
-        
+            ctx.logger.error("Edit failed", {"session_id": session_id})
+            await ctx.state.set(session_id, "editError", error_msg)
+
     except Exception as e:
         error_msg = str(e)
-        context.logger.error("Error editing rendering", {
-            "session_id": session_id,
-            "error": error_msg
-        })
-        await context.state.set(session_id, "editError", error_msg)
+        ctx.logger.error("Error editing rendering", {"session_id": session_id, "error": error_msg})
+        await ctx.state.set(session_id, "editError", error_msg)
 
 
 """
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_api.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_api.step.ts
index 71138b1c..3f406476 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_api.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/edit_rendering_api.step.ts
@@ -3,34 +3,35 @@
  * Allows users to refine generated renderings with natural language instructions
  */
 
-import { ApiRouteConfig, Handlers } from 'motia';
+import { api, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 
 const bodySchema = z.object({
   editPrompt: z.string().min(1, "Edit prompt cannot be empty"),
 });
 
-export const config: ApiRouteConfig = {
-  type: 'api',
+export const config = {
   name: 'EditRenderingApi',
   description: 'Edits existing renovation rendering based on user feedback',
-  path: '/renovation/:sessionId/edit',
-  method: 'POST',
-  bodySchema,
-  emits: ['renovation.edit'],
+  triggers: [
+    api('POST', '/renovation/:sessionId/edit', {
+      bodySchema,
+      responseSchema: {
+        200: z.object({
+          sessionId: z.string(),
+          message: z.string(),
+        }),
+        400: z.object({ error: z.string() }),
+        404: z.object({ error: z.string() }),
+      },
+    }),
+  ],
+  enqueues: ['renovation.edit'],
   virtualSubscribes: ['renovation.render'],
   flows: ['home-renovation'],
-  responseSchema: {
-    200: z.object({
-      sessionId: z.string(),
-      message: z.string(),
-    }),
-    400: z.object({ error: z.string() }),
-    404: z.object({ error: z.string() }),
-  },
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['EditRenderingApi'] = async (req, { emit, logger, state }) => {
+export const handler: Handlers<typeof config> = async (req, { enqueue, logger, state }) => {
   try {
     const { sessionId } = req.pathParams;
     const { editPrompt } = bodySchema.parse(req.body);
@@ -50,7 +51,7 @@ export const handler: Handlers['EditRenderingApi'] = async (req, { emit, logger,
     }
 
     // Trigger edit event to regenerate with modifications
-    await emit({
+    await enqueue({
       topic: 'renovation.edit',
       data: {
         session_id: sessionId,
@@ -75,4 +76,3 @@ export const handler: Handlers['EditRenderingApi'] = async (req, { emit, logger,
     };
   }
 };
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate_rendering_step.py b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate-rendering_step.py
similarity index 76%
rename from examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate_rendering_step.py
rename to examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate-rendering_step.py
index 0f6d5e86..a2d502ce 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate_rendering_step.py
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/generate-rendering_step.py
@@ -11,6 +11,8 @@
 from typing import Any, Dict
 from pydantic import BaseModel
 
+from motia import queue, FlowContext
+
 # Google Generative AI imports (ADK-style SDK)
 try:
     from google import genai
@@ -26,85 +28,85 @@ class RenderingInput(BaseModel):
 
 # Event Step Configuration
 config = {
-    "type": "event",
     "name": "GenerateRendering",
     "description": "Generates photorealistic renovation renderings using Gemini 2.5 Flash Image",
-    "subscribes": ["renovation.render"],
-    "emits": [],
-    "input": RenderingInput.model_json_schema(),
+    "triggers": [
+        queue("renovation.render", input=RenderingInput.model_json_schema())
+    ],
+    "enqueues": [],
     "flows": ["home-renovation"]
 }
 
-async def handler(input_data, context):
+async def handler(input_data: dict[str, Any], ctx: FlowContext[Any]) -> None:
     """
     Generate a photorealistic rendering using Gemini 2.5 Flash Image model.
-    
+
     This matches the original implementation from awesome-llm-apps repo:
     https://github.com/Shubhamsaboo/awesome-llm-apps/blob/main/advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/tools.py
     """
     session_id = input_data.get("session_id")
-    
-    context.logger.info("Starting rendering generation with Gemini 2.5 Flash Image", {
+
+    ctx.logger.info("Starting rendering generation with Gemini 2.5 Flash Image", {
         "session_id": session_id
     })
-    
+
     # Check if SDK is available
     if not GENAI_AVAILABLE:
         error_msg = "google-genai SDK not installed. Run: pip install google-genai"
-        context.logger.error("SDK not available", {"session_id": session_id, "error": error_msg})
-        await context.state.set(session_id, "renderingError", error_msg)
+        ctx.logger.error("SDK not available", {"session_id": session_id, "error": error_msg})
+        await ctx.state.set(session_id, "renderingError", error_msg)
         return
-    
+
     # Get API key
     api_key = os.environ.get("GOOGLE_API_KEY") or os.environ.get("GEMINI_API_KEY")
     if not api_key:
         error_msg = "GOOGLE_API_KEY not found in environment"
-        context.logger.error("API key missing", {"session_id": session_id})
-        await context.state.set(session_id, "renderingError", error_msg)
+        ctx.logger.error("API key missing", {"session_id": session_id})
+        await ctx.state.set(session_id, "renderingError", error_msg)
         return
-    
+
     # Get the rendering prompt from roadmap
-    roadmap = await context.state.get(session_id, "roadmap")
+    roadmap = await ctx.state.get(session_id, "roadmap")
     if not roadmap:
-        context.logger.error("No roadmap found in state", {"session_id": session_id})
-        await context.state.set(session_id, "renderingError", "No roadmap found")
+        ctx.logger.error("No roadmap found in state", {"session_id": session_id})
+        await ctx.state.set(session_id, "renderingError", "No roadmap found")
         return
-    
-    context.logger.info("Roadmap retrieved", {
+
+    ctx.logger.info("Roadmap retrieved", {
         "session_id": session_id,
         "roadmap_keys": list(roadmap.keys()) if isinstance(roadmap, dict) else "not a dict"
     })
-    
+
     # Motia state wraps data in a 'data' object
     actual_roadmap = roadmap.get("data", roadmap) if isinstance(roadmap, dict) else roadmap
-    
+
     rendering_prompt = actual_roadmap.get("renderingPrompt", "") if isinstance(actual_roadmap, dict) else ""
-    
+
     if not rendering_prompt:
-        context.logger.error("No rendering prompt in roadmap", {
+        ctx.logger.error("No rendering prompt in roadmap", {
             "session_id": session_id,
             "roadmap_structure": str(roadmap)[:300],
             "actual_roadmap_keys": list(actual_roadmap.keys()) if isinstance(actual_roadmap, dict) else "not a dict"
         })
-        await context.state.set(session_id, "renderingError", "No rendering prompt found in roadmap")
+        await ctx.state.set(session_id, "renderingError", "No rendering prompt found in roadmap")
         return
-    
-    context.logger.info("Rendering prompt found", {
+
+    ctx.logger.info("Rendering prompt found", {
         "session_id": session_id,
         "prompt_length": len(rendering_prompt)
     })
-    
+
     try:
         # Initialize the ADK-style client
         client = genai.Client(api_key=api_key)
-        
+
         # CRITICAL: Use gemini-2.5-flash-image model (from original repo)
         model = "gemini-2.5-flash-image"
-        
-        context.logger.info("Enhancing prompt with Gemini", {
+
+        ctx.logger.info("Enhancing prompt with Gemini", {
             "session_id": session_id
         })
-        
+
         # Enhance the prompt (like in original tools.py)
         base_rewrite_prompt = f"""
         Create a highly detailed, photorealistic prompt for generating an interior design image.
@@ -121,29 +123,29 @@ async def handler(input_data, context):
 
         **Important:** Output your prompt as a single detailed paragraph optimized for photorealistic interior rendering.
         """
-        
+
         # Get enhanced prompt
         rewritten_prompt_response = client.models.generate_content(
             model="gemini-2.5-flash",
             contents=base_rewrite_prompt
         )
         enhanced_prompt = rewritten_prompt_response.text
-        
-        context.logger.info("Prompt enhanced, generating image", {
+
+        ctx.logger.info("Prompt enhanced, generating image", {
             "session_id": session_id,
             "enhanced_prompt_length": len(enhanced_prompt)
         })
-        
+
         # Build content for image generation
         content_parts = [types.Part.from_text(text=enhanced_prompt)]
-        
+
         contents = [
             types.Content(
                 role="user",
                 parts=content_parts,
             ),
         ]
-        
+
         # CRITICAL: Set response_modalities to include IMAGE (from original repo)
         generate_content_config = types.GenerateContentConfig(
             response_modalities=[
@@ -151,12 +153,12 @@ async def handler(input_data, context):
                 "TEXT",
             ],
         )
-        
-        context.logger.info("Calling Gemini 2.5 Flash Image API", {
+
+        ctx.logger.info("Calling Gemini 2.5 Flash Image API", {
             "session_id": session_id,
             "model": model
         })
-        
+
         # Generate the image (streaming like in original)
         image_generated = False
         for chunk in client.models.generate_content_stream(
@@ -170,18 +172,18 @@ async def handler(input_data, context):
                 or chunk.candidates[0].content.parts is None
             ):
                 continue
-            
+
             # Check for image data in the response
             if chunk.candidates[0].content.parts[0].inline_data and chunk.candidates[0].content.parts[0].inline_data.data:
                 inline_data = chunk.candidates[0].content.parts[0].inline_data
-                
+
                 # Extract image bytes
                 image_bytes = inline_data.data
                 mime_type = inline_data.mime_type or "image/png"
-                
+
                 # Convert to base64
                 image_base64 = base64.b64encode(image_bytes).decode('utf-8')
-                
+
                 # Store the generated image
                 rendering_data = {
                     "imageBase64": image_base64,
@@ -191,47 +193,47 @@ async def handler(input_data, context):
                     "prompt": enhanced_prompt,  # Store full prompt
                     "version": 1
                 }
-                
-                await context.state.set(session_id, "rendering", rendering_data)
-                await context.state.set(session_id, "renderingCompleted", True)
-                
-                context.logger.info("Image generated successfully", {
+
+                await ctx.state.set(session_id, "rendering", rendering_data)
+                await ctx.state.set(session_id, "renderingCompleted", True)
+
+                ctx.logger.info("Image generated successfully", {
                     "session_id": session_id,
                     "image_size_bytes": len(image_bytes),
                     "image_size_base64": len(image_base64),
                     "mime_type": mime_type,
                     "model": model
                 })
-                
+
                 image_generated = True
                 break
             else:
                 # Log any text responses
                 if hasattr(chunk.candidates[0].content.parts[0], 'text') and chunk.candidates[0].content.parts[0].text:
                     text_response = chunk.candidates[0].content.parts[0].text
-                    context.logger.info("Model text response", {
+                    ctx.logger.info("Model text response", {
                         "session_id": session_id,
                         "response": text_response[:200]
                     })
-        
+
         if not image_generated:
             error_msg = "No image was generated in the response"
-            context.logger.error("Image generation failed", {
+            ctx.logger.error("Image generation failed", {
                 "session_id": session_id,
                 "error": error_msg
             })
-            await context.state.set(session_id, "renderingError", error_msg)
-            await context.state.set(session_id, "renderingNote", 
+            await ctx.state.set(session_id, "renderingError", error_msg)
+            await ctx.state.set(session_id, "renderingNote",
                 "The model returned a text response instead of an image. The detailed prompt has been saved.")
-            await context.state.set(session_id, "renderingPrompt", enhanced_prompt)
-        
+            await ctx.state.set(session_id, "renderingPrompt", enhanced_prompt)
+
     except Exception as e:
         error_msg = str(e)
-        context.logger.error("Error generating rendering", {
+        ctx.logger.error("Error generating rendering", {
             "session_id": session_id,
             "error": error_msg
         })
-        await context.state.set(session_id, "renderingError", error_msg)
+        await ctx.state.set(session_id, "renderingError", error_msg)
 
 
 """
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_rendering.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_rendering.step.ts
index f696b612..38515aa5 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_rendering.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_rendering.step.ts
@@ -3,37 +3,38 @@
  * Returns the photorealistic image generated by Gemini 2.5 Flash
  */
 
-import { ApiRouteConfig, Handlers } from 'motia';
+import { api, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 
-export const config: ApiRouteConfig = {
-  type: 'api',
+export const config = {
   name: 'GetRendering',
   description: 'Retrieves the generated renovation rendering image',
-  path: '/renovation/:sessionId/rendering',
-  method: 'GET',
-  emits: [],
+  triggers: [
+    api('GET', '/renovation/:sessionId/rendering', {
+      responseSchema: {
+        200: z.object({
+          sessionId: z.string(),
+          renderingCompleted: z.boolean(),
+          rendering: z.object({
+            imageBase64: z.string(),
+            mimeType: z.string(),
+            prompt: z.string(),
+            generatedAt: z.string(),
+            model: z.string(),
+          }).optional(),
+          renderingError: z.string().optional(),
+          message: z.string(),
+        }),
+        404: z.object({ error: z.string() }),
+      },
+    }),
+  ],
+  enqueues: [],
   virtualSubscribes: ['renovation.render'],
   flows: ['home-renovation'],
-  responseSchema: {
-    200: z.object({
-      sessionId: z.string(),
-      renderingCompleted: z.boolean(),
-      rendering: z.object({
-        imageBase64: z.string(),
-        mimeType: z.string(),
-        prompt: z.string(),
-        generatedAt: z.string(),
-        model: z.string(),
-      }).optional(),
-      renderingError: z.string().optional(),
-      message: z.string(),
-    }),
-    404: z.object({ error: z.string() }),
-  },
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['GetRendering'] = async (req, { logger, state }) => {
+export const handler: Handlers<typeof config> = async (req, { logger, state }) => {
   const { sessionId } = req.pathParams;
 
   logger.info('Fetching renovation rendering', { sessionId });
@@ -68,9 +69,9 @@ export const handler: Handlers['GetRendering'] = async (req, { logger, state })
     };
   }
 
-  logger.info('Returning completed rendering', { 
+  logger.info('Returning completed rendering', {
     sessionId,
-    imageSize: rendering.imageBase64?.length || 0 
+    imageSize: rendering.imageBase64?.length || 0
   });
 
   return {
@@ -83,4 +84,3 @@ export const handler: Handlers['GetRendering'] = async (req, { logger, state })
     },
   };
 };
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.ts
index c0108f9a..a908c3c8 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.ts
@@ -3,32 +3,33 @@
  * API endpoint to fetch renovation planning results
  */
 
-import { ApiRouteConfig, Handlers } from 'motia';
+import { api, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 
-export const config: ApiRouteConfig = {
-  type: 'api',
+export const config = {
   name: 'GetRenovationResult',
   description: 'Retrieves the completed renovation plan for a session',
-  path: '/renovation/:sessionId/result',
-  method: 'GET',
-  emits: [],
+  triggers: [
+    api('GET', '/renovation/:sessionId/result', {
+      responseSchema: {
+        200: z.object({
+          sessionId: z.string(),
+          completed: z.boolean(),
+          roadmap: z.any().optional(),
+          assessmentSummary: z.any().optional(),
+          infoResponse: z.string().optional(),
+          message: z.string(),
+        }),
+        404: z.object({ error: z.string() }),
+      },
+    }),
+  ],
+  enqueues: [],
   virtualSubscribes: ['renovation.coordinate'],
   flows: ['home-renovation'],
-  responseSchema: {
-    200: z.object({
-      sessionId: z.string(),
-      completed: z.boolean(),
-      roadmap: z.any().optional(),
-      assessmentSummary: z.any().optional(),
-      infoResponse: z.string().optional(),
-      message: z.string(),
-    }),
-    404: z.object({ error: z.string() }),
-  },
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['GetRenovationResult'] = async (req, { logger, state }) => {
+export const handler: Handlers<typeof config> = async (req, { logger, state }) => {
   const { sessionId } = req.pathParams;
 
   logger.info('Fetching renovation result', { sessionId });
@@ -89,4 +90,3 @@ export const handler: Handlers['GetRenovationResult'] = async (req, { logger, st
     },
   };
 };
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.tsx
deleted file mode 100644
index 141b08ad..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/get_renovation_result.step.tsx
+++ /dev/null
@@ -1,26 +0,0 @@
-/**
- * UI Override for Get Renovation Result API Step
- */
-
-import { ApiNode, ApiNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<ApiNodeProps> = (props) => {
-  return (
-    <ApiNode {...props}>
-      <div className="flex items-start gap-3 p-3">
-        <div className="text-3xl">📋</div>
-        <div className="flex-1">
-          <h4 className="text-sm font-semibold text-gray-900">Get Results</h4>
-          <p className="text-xs text-gray-500 mt-1">
-            Retrieve your complete renovation plan and roadmap
-          </p>
-          <div className="text-xs text-gray-400 font-mono mt-2">
-            GET /renovation/:sessionId/result
-          </div>
-        </div>
-      </div>
-    </ApiNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.ts
index df60fd5a..663681c9 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.ts
@@ -3,7 +3,7 @@
  * Provides system information and guidance
  */
 
-import { EventConfig, Handlers } from 'motia';
+import { queue, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 
 const inputSchema = z.object({
@@ -11,17 +11,15 @@ const inputSchema = z.object({
   message: z.string(),
 });
 
-export const config: EventConfig = {
-  type: 'event',
+export const config = {
   name: 'InfoHandler',
   description: 'Handles general questions and provides system information',
-  subscribes: ['renovation.info'],
-  emits: [],
-  input: inputSchema,
+  triggers: [queue('renovation.info', { input: inputSchema })],
+  enqueues: [],
   flows: ['home-renovation'],
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['InfoHandler'] = async (input, { logger, state }) => {
+export const handler: Handlers<typeof config> = async (input, { logger, state }) => {
   const { sessionId, message } = input;
 
   logger.info('Handling info request', { sessionId });
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.tsx
deleted file mode 100644
index 39e53d3f..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/info_handler.step.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-/**
- * UI Override for Info Handler Event Step
- */
-
-import { EventNode, EventNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<EventNodeProps> = (props) => {
-  return (
-    <EventNode {...props}>
-      <div className="flex items-start gap-3 p-3">
-        <div className="text-3xl">💬</div>
-        <div className="flex-1">
-          <h4 className="text-sm font-semibold text-gray-900">Info Handler</h4>
-          <p className="text-xs text-gray-500 mt-1">
-            Answers general questions about costs, timelines, and capabilities
-          </p>
-          <div className="flex flex-wrap gap-1 mt-2">
-            <span className="text-xs bg-sky-50 text-sky-700 px-2 py-0.5 rounded">Help</span>
-            <span className="text-xs bg-violet-50 text-violet-700 px-2 py-0.5 rounded">Guidance</span>
-          </div>
-        </div>
-      </div>
-    </EventNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.ts
index ba5a41b5..e7723e97 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.ts
@@ -3,7 +3,7 @@
  * Final step in the renovation planning pipeline
  */
 
-import { EventConfig, Handlers } from 'motia';
+import { queue, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 import { calculateBudgetBreakdown, generateRenovationPlan } from '../../utils/renovation-tools';
 
@@ -11,17 +11,15 @@ const inputSchema = z.object({
   sessionId: z.string(),
 });
 
-export const config: EventConfig = {
-  type: 'event',
+export const config = {
   name: 'ProjectCoordinator',
   description: 'Generates comprehensive renovation roadmap with budget, timeline, and rendering instructions',
-  subscribes: ['renovation.coordinate'],
-  emits: ['renovation.render'],
-  input: inputSchema,
+  triggers: [queue('renovation.coordinate', { input: inputSchema })],
+  enqueues: ['renovation.render'],
   flows: ['home-renovation'],
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['ProjectCoordinator'] = async (input, { emit, logger, state }) => {
+export const handler: Handlers<typeof config> = async (input, { enqueue, logger, state }) => {
   const { sessionId } = input;
 
   logger.info('Starting project coordination', { sessionId });
@@ -76,7 +74,7 @@ export const handler: Handlers['ProjectCoordinator'] = async (input, { emit, log
   // Trigger rendering generation with Gemini 2.5 Flash (Nano Banana)
   logger.info('Triggering rendering generation', { sessionId });
   
-  await emit({
+  await enqueue({
     topic: 'renovation.render',
     data: {
       session_id: sessionId,
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.tsx
deleted file mode 100644
index 99e24198..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/project_coordinator.step.tsx
+++ /dev/null
@@ -1,28 +0,0 @@
-/**
- * UI Override for Project Coordinator Event Step
- */
-
-import { EventNode, EventNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<EventNodeProps> = (props) => {
-  return (
-    <EventNode {...props}>
-      <div className="flex items-start gap-3 p-3">
-        <div className="text-3xl">🏗️</div>
-        <div className="flex-1">
-          <h4 className="text-sm font-semibold text-gray-900">Project Coordinator</h4>
-          <p className="text-xs text-gray-500 mt-1">
-            Generates comprehensive roadmap with budget, contractors, and rendering prompts
-          </p>
-          <div className="flex flex-wrap gap-1 mt-2">
-            <span className="text-xs bg-emerald-50 text-emerald-700 px-2 py-0.5 rounded">Budget Breakdown</span>
-            <span className="text-xs bg-orange-50 text-orange-700 px-2 py-0.5 rounded">Contractors</span>
-            <span className="text-xs bg-cyan-50 text-cyan-700 px-2 py-0.5 rounded">Checklist</span>
-          </div>
-        </div>
-      </div>
-    </EventNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.ts
index 93da0cea..e66fb4de 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.ts
@@ -3,7 +3,7 @@
  * Receives renovation requests and routes them to appropriate event handlers
  */
 
-import { ApiRouteConfig, Handlers } from 'motia';
+import { api, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 
 const bodySchema = z.object({
@@ -15,29 +15,30 @@ const bodySchema = z.object({
   imageUrls: z.array(z.string()).optional(),
 });
 
-export const config: ApiRouteConfig = {
-  type: 'api',
+export const config = {
   name: 'StartRenovation',
   description: 'Main entry point for renovation planning requests',
-  path: '/renovation/start',
-  method: 'POST',
-  bodySchema,
-  emits: [
+  triggers: [
+    api('POST', '/renovation/start', {
+      bodySchema,
+      responseSchema: {
+        200: z.object({
+          sessionId: z.string(),
+          message: z.string(),
+          routedTo: z.string(),
+        }),
+        400: z.object({ error: z.string() }),
+      },
+    }),
+  ],
+  enqueues: [
     { topic: 'renovation.assess', label: 'Start Assessment' },
     { topic: 'renovation.info', label: 'General Info', conditional: true },
   ],
   flows: ['home-renovation'],
-  responseSchema: {
-    200: z.object({
-      sessionId: z.string(),
-      message: z.string(),
-      routedTo: z.string(),
-    }),
-    400: z.object({ error: z.string() }),
-  },
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['StartRenovation'] = async (req, { emit, logger, state }) => {
+export const handler: Handlers<typeof config> = async (req, { enqueue, logger, state }) => {
   try {
     const { message, budget, roomType, style, hasImages, imageUrls } = bodySchema.parse(req.body);
 
@@ -79,7 +80,7 @@ export const handler: Handlers['StartRenovation'] = async (req, { emit, logger,
       // Route to info handler
       routedTo = 'info';
       
-      await emit({
+      await enqueue({
         topic: 'renovation.info',
         data: {
           sessionId,
@@ -99,7 +100,7 @@ export const handler: Handlers['StartRenovation'] = async (req, { emit, logger,
       await state.set(sessionId, 'imageUrls', imageUrls || []);
       await state.set(sessionId, 'startTime', new Date().toISOString());
 
-      await emit({
+      await enqueue({
         topic: 'renovation.assess',
         data: {
           sessionId,
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.tsx
deleted file mode 100644
index b7c65577..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/start_renovation.step.tsx
+++ /dev/null
@@ -1,47 +0,0 @@
-/**
- * UI Override for Start Renovation API Step
- * Displays a beautiful card in Motia Workbench
- */
-
-import { ApiNode, ApiNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<ApiNodeProps> = (props) => {
-  return (
-    <ApiNode {...props}>
-      <div className="flex flex-col gap-3 p-4">
-        <div className="flex items-center gap-3">
-          <div className="text-4xl">🏚️</div>
-          <div className="flex-1">
-            <h3 className="text-lg font-semibold text-gray-900">AI Home Renovation Planner</h3>
-            <p className="text-sm text-gray-500">Start your renovation journey</p>
-          </div>
-        </div>
-        
-        <div className="grid grid-cols-2 gap-2 text-xs">
-          <div className="flex items-center gap-2 text-gray-600">
-            <span>📸</span>
-            <span>Analyzes rooms</span>
-          </div>
-          <div className="flex items-center gap-2 text-gray-600">
-            <span>🎨</span>
-            <span>Creates designs</span>
-          </div>
-          <div className="flex items-center gap-2 text-gray-600">
-            <span>💰</span>
-            <span>Estimates budgets</span>
-          </div>
-          <div className="flex items-center gap-2 text-gray-600">
-            <span>📊</span>
-            <span>Plans timeline</span>
-          </div>
-        </div>
-
-        <div className="text-xs text-gray-400 font-mono mt-2">
-          POST /renovation/start
-        </div>
-      </div>
-    </ApiNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.ts b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.ts
index f4e44184..7b7fb6dc 100644
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.ts
+++ b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.ts
@@ -3,7 +3,7 @@
  * First step in the renovation planning pipeline
  */
 
-import { EventConfig, Handlers } from 'motia';
+import { queue, Handlers, StepConfig } from 'motia';
 import { z } from 'zod';
 import { extractRoomDetails, estimateRenovationCost } from '../../utils/renovation-tools';
 
@@ -13,17 +13,15 @@ const inputSchema = z.object({
   hasImages: z.boolean().optional(),
 });
 
-export const config: EventConfig = {
-  type: 'event',
+export const config = {
   name: 'VisualAssessor',
   description: 'Analyzes room photos and extracts renovation requirements',
-  subscribes: ['renovation.assess'],
-  emits: ['renovation.design'],
-  input: inputSchema,
+  triggers: [queue('renovation.assess', { input: inputSchema })],
+  enqueues: ['renovation.design'],
   flows: ['home-renovation'],
-};
+} as const satisfies StepConfig;
 
-export const handler: Handlers['VisualAssessor'] = async (input, { emit, logger, state }) => {
+export const handler: Handlers<typeof config> = async (input, { enqueue, logger, state }) => {
   const { sessionId, message, hasImages } = input;
 
   logger.info('Starting visual assessment', { sessionId });
@@ -125,7 +123,7 @@ export const handler: Handlers['VisualAssessor'] = async (input, { emit, logger,
   await state.set(sessionId, 'assessmentSummary', summary);
 
   // Emit to design planner
-  await emit({
+  await enqueue({
     topic: 'renovation.design',
     data: {
       sessionId,
diff --git a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.tsx b/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.tsx
deleted file mode 100644
index 91016ba8..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/steps/renovation/visual_assessor.step.tsx
+++ /dev/null
@@ -1,28 +0,0 @@
-/**
- * UI Override for Visual Assessor Event Step
- */
-
-import { EventNode, EventNodeProps } from 'motia/workbench';
-import React from 'react';
-
-export const Node: React.FC<EventNodeProps> = (props) => {
-  return (
-    <EventNode {...props}>
-      <div className="flex items-start gap-3 p-3">
-        <div className="text-3xl">🔍</div>
-        <div className="flex-1">
-          <h4 className="text-sm font-semibold text-gray-900">Visual Assessor</h4>
-          <p className="text-xs text-gray-500 mt-1">
-            Analyzes room details, extracts requirements, and identifies opportunities
-          </p>
-          <div className="flex flex-wrap gap-1 mt-2">
-            <span className="text-xs bg-blue-50 text-blue-700 px-2 py-0.5 rounded">Room Analysis</span>
-            <span className="text-xs bg-green-50 text-green-700 px-2 py-0.5 rounded">Budget Check</span>
-            <span className="text-xs bg-purple-50 text-purple-700 px-2 py-0.5 rounded">Style Detection</span>
-          </div>
-        </div>
-      </div>
-    </EventNode>
-  );
-};
-
diff --git a/examples/advanced-use-cases/ai-room-renovate/types.d.ts b/examples/advanced-use-cases/ai-room-renovate/types.d.ts
deleted file mode 100644
index 66e3173e..00000000
--- a/examples/advanced-use-cases/ai-room-renovate/types.d.ts
+++ /dev/null
@@ -1,25 +0,0 @@
-/**
- * Automatically generated types for motia
- * Do NOT edit this file manually.
- * 
- * Consider adding this file to .prettierignore and eslint ignore.
- */
-import { EventHandler, ApiRouteHandler, ApiResponse, MotiaStream, CronHandler } from 'motia'
-
-declare module 'motia' {
-  interface FlowContextStateStreams {
-    
-  }
-
-  interface Handlers {
-    'VisualAssessor': EventHandler<{ sessionId: string; message: string; hasImages?: boolean }, { topic: 'renovation.design'; data: { sessionId: string } }>
-    'StartRenovation': ApiRouteHandler<{ message: string; budget?: number; roomType?: string; style?: string; hasImages?: boolean; imageUrls?: Array<string> }, ApiResponse<200, { sessionId: string; message: string; routedTo: string }> | ApiResponse<400, { error: string }>, { topic: 'renovation.assess'; data: { sessionId: string; message: string; hasImages?: boolean } } | { topic: 'renovation.info'; data: { sessionId: string; message: string } }>
-    'ProjectCoordinator': EventHandler<{ sessionId: string }, { topic: 'renovation.render'; data: { session_id: string } }>
-    'InfoHandler': EventHandler<{ sessionId: string; message: string }, never>
-    'GetRenovationResult': ApiRouteHandler<Record<string, unknown>, ApiResponse<200, { sessionId: string; completed: boolean; roadmap?: unknown; assessmentSummary?: unknown; infoResponse?: string; message: string }> | ApiResponse<404, { error: string }>, never>
-    'GetRendering': ApiRouteHandler<Record<string, unknown>, ApiResponse<200, { sessionId: string; renderingCompleted: boolean; rendering?: { imageBase64: string; mimeType: string; prompt: string; generatedAt: string; model: string }; renderingError?: string; message: string }> | ApiResponse<404, { error: string }>, never>
-    'EditRendering': EventHandler<{ session_id: string; edit_prompt: string }, never>
-    'DesignPlanner': EventHandler<{ sessionId: string }, { topic: 'renovation.coordinate'; data: { sessionId: string } }>
-    'GenerateRendering': EventHandler<{ session_id: string }, never>
-  }
-}
\ No newline at end of file
diff --git a/examples/advanced-use-cases/ai-room-renovate/uv.lock b/examples/advanced-use-cases/ai-room-renovate/uv.lock
new file mode 100644
index 00000000..8c6b7357
--- /dev/null
+++ b/examples/advanced-use-cases/ai-room-renovate/uv.lock
@@ -0,0 +1,3321 @@
+version = 1
+revision = 3
+requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version >= '3.11' and python_full_version < '3.13'",
+    "python_full_version < '3.11'",
+]
+
+[[package]]
+name = "ai-room-renovate"
+version = "0.1.0"
+source = { virtual = "." }
+dependencies = [
+    { name = "google-adk" },
+    { name = "google-genai" },
+    { name = "iii-sdk" },
+    { name = "motia", extra = ["otel"] },
+    { name = "pydantic" },
+]
+
+[package.optional-dependencies]
+dev = [
+    { name = "pytest" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "google-adk", specifier = ">=0.1.0" },
+    { name = "google-genai", specifier = ">=0.2.0" },
+    { name = "iii-sdk", specifier = "==0.2.0" },
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+    { name = "pydantic", specifier = ">=2.0" },
+    { name = "pytest", marker = "extra == 'dev'", specifier = ">=8.0.0" },
+]
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+
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diff --git a/examples/advanced-use-cases/vision-example/README.md b/examples/advanced-use-cases/vision-example/README.md
index 7b22a4b1..7b1ccfec 100644
--- a/examples/advanced-use-cases/vision-example/README.md
+++ b/examples/advanced-use-cases/vision-example/README.md
@@ -2,37 +2,31 @@
 
 This example demonstrates how to generate images and evaluate the results as a dataset using Claude's vision and prompt generation capabilities, Flux image generation model, and openAI for evaluating the generated content (prompt and image).
 
-## Setup
+## Requirements
+- Node.js v18 or higher
+- An Anthropic API key
+- UV for python dependency management
+- pnpm for node dependency management
 
-1. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
+## Setup
 
-2. Set up your Anthropic API key:
-   - Create an account at [Anthropic's website](https://www.anthropic.com/)
-   - Get your API key from the dashboard
-   - Set it as a global environment variable:
+1. Install dependencies python and node dependencies:
+python
 ```bash
-export ANTHROPIC_API_KEY='your-api-key'
+uv sync --all-extras
 ```
-
-3. Set up your Flux API key:
-   - Create an account at [Flux's website](https://flux.com/)
-   - Get your API key from the dashboard
-   - Copy the .env.example file to .env and set the FLUX_API_KEY environment variable:
+node
 ```bash
-cp .env.example .env
+pnpm install
 ```
 
-> This third step is optional, you can skip it if you don't want to execute the evaluation flow.
 
-4. Set up your OpenAI API key:
-   - Create an account at [OpenAI's website](https://platform.openai.com/)
+2. Set up your Anthropic API key:
+   - Create an account at [Anthropic's website](https://www.anthropic.com/)
    - Get your API key from the dashboard
    - Set it as a global environment variable:
 ```bash
-export OPENAI_API_KEY='your-api-key'
+export ANTHROPIC_API_KEY='your-api-key'
 ```
 
 ## Available Flows
@@ -42,7 +36,7 @@ Generates an images based on a prompt, the prompt is enhanced to make it more sp
 You can trigger the flow by sending a POST request to the `generate-image` endpoint, provide a prompt in the request body as shown below:
 
 ```bash
-curl -X POST http://localhost:3000/generate-image \
+curl -X POST http://localhost:3111/generate-image \
   -H "Content-Type: application/json" \
   -d '{"prompt": "create an image of a couple backpacking through a trail in the easter sierras. use a black and white image style. sketch style."}'
 ```
@@ -58,7 +52,7 @@ The evaluation results are saved in the `eval-reports` folder under the name of
 You can trigger the flow by sending a POST request to the `evaluate-image-generation-dataset` endpoint, provide an empty body as shown below:
 
 ```bash
-curl -X POST http://localhost:3000/evaluate-image-generation-dataset \
+curl -X POST http://localhost:3111/evaluate-image-generation-dataset \
   -H "Content-Type: application/json" \
   -d '{}'
 ```
diff --git a/examples/advanced-use-cases/vision-example/config.yaml b/examples/advanced-use-cases/vision-example/config.yaml
new file mode 100644
index 00000000..0dc5e7ee
--- /dev/null
+++ b/examples/advanced-use-cases/vision-example/config.yaml
@@ -0,0 +1,86 @@
+modules:
+  - class: modules::stream::StreamModule
+    config:
+      port: ${STREAMS_PORT:3112}
+      host: 127.0.0.1
+      adapter:
+        class: modules::stream::adapters::KvStore
+        config:
+          store_method: file_based
+          file_path: ./data/streams_store
+
+  - class: modules::state::StateModule
+    config:
+      adapter:
+        class: modules::state::adapters::KvStore
+        config:
+          store_method: file_based
+          file_path: ./data/state_store.db
+
+  - class: modules::api::RestApiModule
+    config:
+      port: 3111
+      host: 127.0.0.1
+      default_timeout: 30000
+      concurrency_request_limit: 1024
+      cors:
+        allowed_origins:
+          - '*'
+        allowed_methods:
+          - GET
+          - POST
+          - PUT
+          - DELETE
+          - OPTIONS
+
+  - class: modules::observability::OtelModule
+    config:
+      enabled: ${OTEL_ENABLED:true}
+      service_name: ${OTEL_SERVICE_NAME:iii-engine}
+      service_version: ${SERVICE_VERSION:0.2.0}
+      service_namespace: ${SERVICE_NAMESPACE:production}
+      exporter: ${OTEL_EXPORTER_TYPE:memory}
+      endpoint: ${OTEL_EXPORTER_OTLP_ENDPOINT:http://localhost:4317}
+      sampling_ratio: 1.0
+      memory_max_spans: ${OTEL_MEMORY_MAX_SPANS:10000}
+      metrics_enabled: true
+      metrics_exporter: ${OTEL_METRICS_EXPORTER:memory}
+      metrics_retention_seconds: 3600
+      metrics_max_count: 10000
+      logs_enabled: ${OTEL_LOGS_ENABLED:true}
+      logs_exporter: ${OTEL_LOGS_EXPORTER:memory}
+      logs_max_count: ${OTEL_LOGS_MAX_COUNT:1000}
+      logs_retention_seconds: ${OTEL_LOGS_RETENTION_SECONDS:3600}
+      logs_sampling_ratio: ${OTEL_LOGS_SAMPLING_RATIO:1.0}
+
+  - class: modules::queue::QueueModule
+    config:
+      adapter:
+        class: modules::queue::BuiltinQueueAdapter
+
+  - class: modules::pubsub::PubSubModule
+    config:
+      adapter:
+        class: modules::pubsub::LocalAdapter
+
+  - class: modules::cron::CronModule
+    config:
+      adapter:
+        class: modules::cron::KvCronAdapter
+
+  - class: modules::shell::ExecModule
+    config:
+      watch:
+        - steps/**/*.ts
+
+      exec:
+        - npx motia dev
+        - bun run --enable-source-maps dist/index-dev.js
+
+  - class: modules::shell::ExecModule
+    config:
+      watch:
+        - steps/**/*.py
+
+      exec:
+        - uv run motia run --dir steps
diff --git a/examples/advanced-use-cases/vision-example/generate-dataset.ts b/examples/advanced-use-cases/vision-example/generate-dataset.ts
index e377c655..5d6a7f8d 100644
--- a/examples/advanced-use-cases/vision-example/generate-dataset.ts
+++ b/examples/advanced-use-cases/vision-example/generate-dataset.ts
@@ -2,7 +2,7 @@ async function generateImages(numImages: number = 10) {
     const prompt = "create an image of a couple backpacking through a trail in the easter sierras. use a black and white image style. sketch style.";
     
     const requests = Array(numImages).fill(null).map(() => 
-        fetch('http://localhost:3000/generate-image', {
+        fetch('http://localhost:3111/generate-image', {
             method: 'POST',
             headers: {
                 'Content-Type': 'application/json',
diff --git a/examples/advanced-use-cases/vision-example/package.json b/examples/advanced-use-cases/vision-example/package.json
index 20dcca4c..352fb0be 100644
--- a/examples/advanced-use-cases/vision-example/package.json
+++ b/examples/advanced-use-cases/vision-example/package.json
@@ -2,13 +2,11 @@
   "name": "my-motia-project",
   "description": "",
   "scripts": {
-    "postinstall": "motia install",
     "generate:dataset": "ts-node generate-dataset.ts",
-    "dev": "motia dev",
-    "dev:debug": "motia dev --verbose",
-    "generate-types": "motia generate-types",
-    "build": "motia build",
-    "clean": "rm -rf dist node_modules python_modules .motia .mermaid"
+    "start": "bun run --enable-source-maps dist/index-dev.js",
+    "dev": "iii",
+    "dev:py": "uv run motia dev --dir steps --watch",
+    "build": "npx motia dev"
   },
   "keywords": [
     "motia"
@@ -16,7 +14,7 @@
   "dependencies": {
     "@fal-ai/client": "^1.2.3",
     "dotenv": "^16.5.0",
-    "motia": "^0.5.5-beta.113",
+    "motia": "1.0.0-rc.14",
     "openai": "^5.7.0",
     "react": "^19.0.0",
     "zod": "^3.25.67"
@@ -26,4 +24,4 @@
     "ts-node": "^10.9.2",
     "typescript": "^5.8.3"
   }
-}
\ No newline at end of file
+}
diff --git a/examples/advanced-use-cases/vision-example/pyproject.toml b/examples/advanced-use-cases/vision-example/pyproject.toml
new file mode 100644
index 00000000..6cc7c35b
--- /dev/null
+++ b/examples/advanced-use-cases/vision-example/pyproject.toml
@@ -0,0 +1,19 @@
+[project]
+name = "vision-example"
+version = "0.1.0"
+description = "Generate Images and Evaluate Results"
+requires-python = ">=3.10"
+dependencies = [
+  "motia[otel]==1.0.0-rc.22",
+  "iii-sdk==0.2.0",
+  "pydantic>=2.0",
+  "anthropic>=0.31.2",
+]
+
+[project.optional-dependencies]
+dev = [
+  "pytest>=8.0.0",
+]
+
+[tool.uv]
+package = false
diff --git a/examples/advanced-use-cases/vision-example/requirements.txt b/examples/advanced-use-cases/vision-example/requirements.txt
deleted file mode 100644
index ac31e996..00000000
--- a/examples/advanced-use-cases/vision-example/requirements.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-anthropic==0.31.2
-vision-agent==0.2.222
-ultraimport==0.0.7
\ No newline at end of file
diff --git a/examples/advanced-use-cases/vision-example/steps/__init__.py b/examples/advanced-use-cases/vision-example/steps/__init__.py
deleted file mode 100644
index c7df41ce..00000000
--- a/examples/advanced-use-cases/vision-example/steps/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-import os, sys; sys.path.append(os.path.dirname(os.path.realpath(__file__)))
\ No newline at end of file
diff --git a/examples/advanced-use-cases/vision-example/steps/api.step.ts b/examples/advanced-use-cases/vision-example/steps/api.step.ts
index 311157cb..43449124 100644
--- a/examples/advanced-use-cases/vision-example/steps/api.step.ts
+++ b/examples/advanced-use-cases/vision-example/steps/api.step.ts
@@ -1,26 +1,27 @@
-import { ApiRouteConfig, StepHandler } from 'motia'
+import { api, Handlers, StepConfig } from 'motia'
 import { z } from 'zod'
 
 const bodySchema = z.object({
     prompt: z.string(),
 })
 
-export const config: ApiRouteConfig = {
-    type: 'api',
+export const config = {
     name: 'generate image api trigger',
     description: 'generate an ai image given a prompt',
-    path: '/generate-image',
-    method: 'POST',
-    emits: ['enhance-image-prompt'],
-    bodySchema: bodySchema,
+    triggers: [
+        api('POST', '/generate-image', {
+            bodySchema: bodySchema,
+        }),
+    ],
+    enqueues: ['enhance-image-prompt'],
     flows: ['generate-image'],
-}
+} as const satisfies StepConfig
 
-export const handler: StepHandler<typeof config> = async (req, { logger, emit }) => {
+export const handler: Handlers<typeof config> = async (req, { logger, enqueue }) => {
     logger.info('initialized generate image flow')
 
-    await emit({
-        type: 'enhance-image-prompt',
+    await enqueue({
+        topic: 'enhance-image-prompt',
         data: {
             prompt: req.body.prompt,
         },
diff --git a/examples/advanced-use-cases/vision-example/steps/enhance_image_prompt.step.py b/examples/advanced-use-cases/vision-example/steps/enhance_image_prompt_step.py
similarity index 72%
rename from examples/advanced-use-cases/vision-example/steps/enhance_image_prompt.step.py
rename to examples/advanced-use-cases/vision-example/steps/enhance_image_prompt_step.py
index dae18de2..ba54aea3 100644
--- a/examples/advanced-use-cases/vision-example/steps/enhance_image_prompt.step.py
+++ b/examples/advanced-use-cases/vision-example/steps/enhance_image_prompt_step.py
@@ -1,22 +1,25 @@
 from anthropic import Anthropic
 import os
+from typing import Any
+
+from motia import queue, FlowContext
 
 client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
 
 config = {
-  "type": "event",
   "name": "enhance image prompt",
   "description": "enhance a given image prompt",
-  "subscribes": ["enhance-image-prompt"], 
-  "emits": ["generate-image"],
+  "triggers": [
+    queue("enhance-image-prompt")
+  ],
+  "enqueues": ["generate-image"],
   "flows": ["generate-image"],
-  "input": None,  # No schema validation in Python
 }
 
-async def handler(args, ctx):
-  ctx.logger.info('enhance image prompt', args)
+async def handler(input_data: dict[str, Any], ctx: FlowContext[Any]) -> None:
+  ctx.logger.info('enhance image prompt', input_data)
 
-  prompt = args.prompt
+  prompt = input_data.get('prompt', '')
 
   prompt_enhancement_prompt = f"""
   You are a helpful assistant that can enhance a given image prompt.
@@ -39,7 +42,7 @@ async def handler(args, ctx):
 
   ctx.logger.info('enhanced prompt', enhanced_prompt)
 
-  await ctx.emit({
-    "type": 'generate-image',
+  await ctx.enqueue({
+    "topic": 'generate-image',
     "data": {"prompt": enhanced_prompt, "original_prompt": prompt },
   })
\ No newline at end of file
diff --git a/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent-results.api.step.ts b/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent-results.api.step.ts
index 459446f1..6814e5ce 100644
--- a/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent-results.api.step.ts
+++ b/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent-results.api.step.ts
@@ -1,21 +1,22 @@
-import { ApiRouteConfig, StepHandler } from 'motia'
+import { api, Handlers, StepConfig } from 'motia'
 import { z } from 'zod'
 import fs from 'fs'
 
 const bodySchema = z.object({})
 
-export const config: ApiRouteConfig = {
-    type: 'api',
+export const config = {
     name: 'evaluate image generation flow results',
     description: 'initialize the evaluation agent, generate a new evaluation report from a dataset of image generation reports (created by the generate-image flow)',
-    path: '/evaluate-image-generation-dataset',
-    method: 'POST',
-    emits: ['eval-image-generation-dataset'],
-    bodySchema: bodySchema,
+    triggers: [
+        api('POST', '/evaluate-image-generation-dataset', {
+            bodySchema: bodySchema,
+        }),
+    ],
+    enqueues: ['eval-image-generation-dataset'],
     flows: ['eval-agent'],
-}
+} as const satisfies StepConfig
 
-export const handler: StepHandler<typeof config> = async (req, { logger, emit }) => {
+export const handler: Handlers<typeof config> = async (req, { logger, enqueue }) => {
     logger.info('evaluate agent results')
 
     // Check for minimum number of report files
@@ -29,8 +30,8 @@ export const handler: StepHandler<typeof config> = async (req, { logger, emit })
         }
     }
 
-    await emit({
-        type: 'eval-image-generation-dataset',
+    await enqueue({
+        topic: 'eval-image-generation-dataset',
         data: {},
     })
 
diff --git a/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent.step.ts b/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent.step.ts
index 161c2786..e89784fd 100644
--- a/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent.step.ts
+++ b/examples/advanced-use-cases/vision-example/steps/eval-agent/eval-agent.step.ts
@@ -1,4 +1,4 @@
-import { EventConfig, StepHandler } from 'motia'
+import { queue, Handlers, StepConfig } from 'motia'
 import { z } from 'zod'
 import { promises as fs } from 'fs'
 import path from 'path'
@@ -6,22 +6,18 @@ import OpenAI from 'openai'
 
 const inputSchema = z.object({})
 
-type Input = typeof inputSchema
-
 // Add this helper function at the top level, before the handler
 const sleep = (ms: number) => new Promise(resolve => setTimeout(resolve, ms))
 
-export const config: EventConfig<Input> = {
-    type: 'event',
+export const config = {
     name: 'eval entire flow',
     description: 'evaluate the entire flow',
-    subscribes: ['eval-image-generation-dataset'],
-    emits: ['eval-image-generation-dataset-score'],
-    input: inputSchema,
+    triggers: [queue('eval-image-generation-dataset', { input: inputSchema })],
+    enqueues: ['eval-image-generation-dataset-score'],
     flows: ['eval-agent'],
-}
+} as const satisfies StepConfig
 
-export const handler: StepHandler<typeof config> = async (input, { traceId, emit, logger }) => {
+export const handler: Handlers<typeof config> = async (input, { traceId, enqueue, logger }) => {
   logger.info('evaluate the entire flow')
 
   const openai = new OpenAI()
@@ -134,8 +130,8 @@ export const handler: StepHandler<typeof config> = async (input, { traceId, emit
 
     // For now we only emit the report path and the confidence percentage, for a future use case you can trigger
     // a webhook to notify the user that the evaluation is ready, or to enable a new flow, or to allow CI to proceed
-    await emit({
-      type: 'eval-image-generation-dataset-score',
+    await enqueue({
+      topic: 'eval-image-generation-dataset-score',
       data: {
         reportPath,
         confidencePercentage: (finalScore.success * 100) / datasetReport.length,
diff --git a/examples/advanced-use-cases/vision-example/steps/evaluate_result.step.py b/examples/advanced-use-cases/vision-example/steps/evaluate_result_step.py
similarity index 52%
rename from examples/advanced-use-cases/vision-example/steps/evaluate_result.step.py
rename to examples/advanced-use-cases/vision-example/steps/evaluate_result_step.py
index 8698696d..1f484973 100644
--- a/examples/advanced-use-cases/vision-example/steps/evaluate_result.step.py
+++ b/examples/advanced-use-cases/vision-example/steps/evaluate_result_step.py
@@ -1,28 +1,38 @@
-import ultraimport
-from vision_agent.lmm import AnthropicLMM
+from anthropic import Anthropic
+import base64
 import os
 import json
+from typing import Any
 
-download_image = ultraimport('__dir__/download_image.py', 'download_image')
+from motia import queue, FlowContext
+
+client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
 
 config = {
-    "type": "event",
     "name": "Vision agent - evaluate vision result",
     "description": "evaluate an image using a vision agent",
-    "subscribes": ["eval-image-result"], 
-    "emits": ["eval-report"],
+    "triggers": [
+        queue("eval-image-result")
+    ],
+    "enqueues": ["eval-report"],
     "flows": ["generate-image"],
-    "input": None,  # No schema validation in Python version
 }
 
-async def handler(args, ctx):
-    ctx.logger.info('evaluate vision result', args)
-    
+async def handler(input_data: dict[str, Any], ctx: FlowContext[Any]) -> None:
+    ctx.logger.info('evaluate vision result', input_data)
+
+    original_prompt = input_data.get('original_prompt', '')
+    image = input_data.get('image', '')
+    prompt_text = input_data.get('prompt', '')
+
     try:
-        lmm = AnthropicLMM()
-        prompt = """Evaluate if the image is a good representation of the following prompt:
+        # Read and base64 encode the image
+        with open(image, "rb") as f:
+            image_data = base64.standard_b64encode(f.read()).decode("utf-8")
 
-{args.original_prompt}
+        prompt = f"""Evaluate if the image is a good representation of the following prompt:
+
+{original_prompt}
 
 Take into account the following considerations for your evaluation:
 
@@ -36,29 +46,51 @@ async def handler(args, ctx):
 
 Return ONLY a numeric score between 0 and 100, where 100 means the image perfectly matches the prompt.
 Do not include any other text or explanation in your response - just the number."""
-        
-        raw_response = lmm(prompt, media=[args.image])
+
+        response = client.messages.create(
+            model="claude-sonnet-4-20250514",
+            max_tokens=100,
+            messages=[{
+                "role": "user",
+                "content": [
+                    {
+                        "type": "image",
+                        "source": {
+                            "type": "base64",
+                            "media_type": "image/png",
+                            "data": image_data,
+                        },
+                    },
+                    {
+                        "type": "text",
+                        "text": prompt,
+                    },
+                ],
+            }],
+        )
+
+        raw_response = response.content[0].text
         # Extract just the numeric value from the response
         score = float(raw_response.strip())
-        
+
         # Ensure score is within valid range
         score = max(0, min(100, score))
-        
+
         # Write score to a file in tmp directory with trace ID
         score_file = f'{os.path.dirname(os.path.dirname(__file__))}/tmp/{ctx.trace_id}_report.txt'
         with open(score_file, 'a') as f:
             report = {
-                "original_prompt": args.original_prompt,
-                "prompt": args.prompt,
+                "original_prompt": original_prompt,
+                "prompt": prompt_text,
                 "score": score,
-                "image_path": args.image
+                "image_path": image
             }
             f.write(json.dumps(report, indent=2) + "\n")
-        
+
         if score > 90:
             ctx.logger.info('image is a good representation, do something with it', score)
         else:
             ctx.logger.info('image is not a good representation, try again or use a different prompt', score)
-        
+
     except ValueError:
-        ctx.logger.error('Invalid response from vision agent', raw_response)
\ No newline at end of file
+        ctx.logger.error('Invalid response from vision agent', raw_response)
diff --git a/examples/advanced-use-cases/vision-example/steps/generate-image.step.ts b/examples/advanced-use-cases/vision-example/steps/generate-image.step.ts
index e06f5aad..a78b9f09 100644
--- a/examples/advanced-use-cases/vision-example/steps/generate-image.step.ts
+++ b/examples/advanced-use-cases/vision-example/steps/generate-image.step.ts
@@ -1,4 +1,4 @@
-import { EventConfig, StepHandler } from 'motia'
+import { queue, Handlers, StepConfig } from 'motia'
 import { z } from 'zod'
 import dotenv from 'dotenv'
 import {fal} from '@fal-ai/client'
@@ -17,17 +17,13 @@ const inputSchema = z.object({
   original_prompt: z.string()
 })
 
-type Input = typeof inputSchema
-
-export const config: EventConfig<Input> = {
-    type: 'event',
+export const config = {
     name: 'generate image',
     description: 'generate an ai image given a prompt',
-    subscribes: ['generate-image'],
-    emits: ['eval-image-result'],
-    input: inputSchema,
+    triggers: [queue('generate-image', { input: inputSchema })],
+    enqueues: ['eval-image-result'],
     flows: ['generate-image'],
-}
+} as const satisfies StepConfig
 
 const getRequestStatus = async (requestId: string) => {
   const status = await fal.queue.status(FAL_MODEL, {
@@ -64,7 +60,7 @@ async function saveBase64Image(base64String: string, filePath: string): Promise<
   }
 }
 
-export const handler: StepHandler<typeof config> = async (input, { traceId, emit, logger }) => {
+export const handler: Handlers<typeof config> = async (input, { traceId, enqueue, logger }) => {
   logger.info('generate an image using flux')
 
   try {
@@ -99,9 +95,9 @@ export const handler: StepHandler<typeof config> = async (input, { traceId, emit
 
     logger.info("Image saved to " + imagePath);
 
-    await emit({
-      type: 'eval-image-result',
-      data: { 
+    await enqueue({
+      topic: 'eval-image-result',
+      data: {
         image: imagePath, 
         prompt: input.prompt, 
         original_prompt: input.original_prompt
diff --git a/examples/advanced-use-cases/vision-example/types.d.ts b/examples/advanced-use-cases/vision-example/types.d.ts
new file mode 100644
index 00000000..92429c8f
--- /dev/null
+++ b/examples/advanced-use-cases/vision-example/types.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Automatically generated types for motia
+ * Do NOT edit this file manually.
+ */
+import { MotiaStream } from 'motia'
+
+declare module 'motia' {
+  interface Streams {}
+
+  interface Enqueues {}
+}
diff --git a/examples/advanced-use-cases/vision-example/uv.lock b/examples/advanced-use-cases/vision-example/uv.lock
new file mode 100644
index 00000000..620c3e74
--- /dev/null
+++ b/examples/advanced-use-cases/vision-example/uv.lock
@@ -0,0 +1,973 @@
+version = 1
+revision = 3
+requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version < '3.13'",
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
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+[[package]]
+name = "anthropic"
+version = "0.83.0"
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