InfoAgent is a production-ready Python AI agent for real-time weather and news. Built for resilience, it features structured logging, retry logic, and a modular design—essential for scalable, observable, and fault-tolerant AI systems.

Real-time budget monitoring system built on a PostgreSQL state machine. Tracks project burn rates, detects HEALTHY → WARNING → CRITICAL transitions, and fires webhook alerts only on state changes eliminating duplicate alert noise. Idempotent writes, DLQ on API failure.

Weekly autonomous pipeline that scrapes competitor content, runs AI-powered SEO gap analysis via Gemini, and creates structured ClickUp tasks with briefs attached. JSON-mode enforced output, defensive parser, proxy rotation, and DLQ error handling.

Build a production-style AI system that ingests logs and metrics, detects anomalies, and uses an LLM to summarize incidents and suggest likely root causes, with observability and reliability in mind.