Hi guys,
I built AtomicFlow - An AI system that takes any high-level idea and recursively breaks it down into atomic, actionable tasks.
Quick Example
Input: "Creating a customer acquisition system for my AI automation agency"
Output:
- Complete task hierarchy (automatically decomposed to the right level)
- Each atomic task with 30min-8h time estimates
- Smart priority scoring (1-10)
- Dependency mapping (what blocks what)
- Rich metadata (tags, categories, confidence levels)
- Ready-to-import formats for Google Sheets, ClickUp, Notion, Airtable
Key Features
✅ Language-agnostic - Works in any language, outputs in the same language✅ AI decides depth - No arbitrary limits, stops when tasks are truly atomic✅ Universal exports - One API call → multiple formats✅ Transparent reasoning - AI explains every decision (why atomic, time estimates, priorities)✅ Dependency detection - Automatically identifies task relationships
How It Works
Built with n8n + OpenRouter:
- You send an idea (any language)
- AI analyzes and decides: "atomic or decompose?"
- Non-atomic tasks spawn 3-7 children
- Process continues until queue is empty
- Returns structured JSON with everything you need
The AI doesn't just split randomly - it follows strict atomicity rules:
- One person can execute it
- Clear deliverable (verifiable "done")
- 30min-8h time window
- No further strategic thinking needed
Current State
✅ It works. Reliably.
⚠️ But it's painfully inefficient:
- Burns through API tokens like crazy
- Queue-based processing is sequential (slow)
This was a Saturday night prototype to demonstrate the concept. Mission accomplished, but it needs serious optimization before being production-ready.
The prototype is rough, but the core concept works.
Tech Stack: n8n, OpenRouter, JSON processingStatus: Working prototype, needs optimizationExport formats: Google Sheets, ClickUp, Notion, Airtable
📎 Files Included
Drop a comment if you want to try it or have thoughts on where this should go! 🙏