A smart daily productivity assistant designed to help users track, manage, and improve their task completion through structured workflow logic and feedback.
The Daily Task Assistant is a rule-based workflow automation app built using PartyRock. It allows users to input daily tasks, track progress in real-time, and receive feedback on performance and areas of improvement.
This project focuses on translating human productivity behaviour into a structured, trackable system — a foundational concept in automation and intelligent systems.
- ✅ Task input and daily planning
- 📊 Real-time progress tracking
- 🔄 Dynamic task status updates (Not Started / Progress / Completed)
- 🧠 Rule-based feedback system
- ⚡ Workflow automation logic for productivity improvement
The app is built on a simple but powerful system:
Input → State Tracking → Conditional Logic → Feedback
- Task creation and management
- Status-based tracking system
- Progress calculation (completion rate)
- Conditional feedback rules
- If ≥ 80% tasks completed → positive performance feedback
- If high-priority tasks remain incomplete → focus suggestion
- If tasks are repeatedly delayed → behavioural insight prompt
Completion Rate = (Tasks Completed / Total Tasks) × 100
This metric is used to evaluate daily productivity and trigger feedback responses.
This project applies:
- Workflow automation principles
- Rule-based decision systems
- Behavioral pattern tracking
- Basic data structuring and state management
It simulates how intelligent systems guide users toward better outcomes through feedback loops.
- PartyRock (AI App Builder)
- Prompt Engineering
- UI/UX Design Principles
To explore how structured logic and automation can improve daily productivity, while laying the foundation for more advanced AI-driven systems in the future.
- User authentication and saved history
- AI-driven task prioritization
- Predictive productivity insights
- Integration with calendar systems
- Mobile-first UI enhancements
https://partyrock.aws/u/tweeyKM/ZWNWtKpv8/Daily-Task-Mastery-Assistant
Koketso Matobako Aspiring AI & Machine Learning Specialist
This project is part of my journey into building intelligent, human-centered systems that combine creativity, logic, and technology.