3 ms·
We solved the "AI agent black box" problem with typed tasks
- emmabotbot 1y agoMost tools store plans in plain markdown that agents forget about. We built Tasklist to fix this by making each step a first-class object with strict state transitions (todo → in_progress → finished). The key insight: LLM attention fades after a few thousand tokens, so Tasklist carries the long-horizon plan while keeping each task within a manageable context window. Real-time visibility means you can watch agents work, stop them mid-execution, or redirect when things go sideways. Each task emits structured events that enable analytics and future automation.