Turn AI chats into executable tasks

Structure exploratory AI conversations into goals, constraints, open questions, and acceptance examples

Problem

Discussing requirements with AI starts fuzzy: constraints emerge, earlier judgments get revised, and open questions pile up. Afterward it's hard to say what was actually settled, what's confirmed, and what's still exploratory. Asking the AI to summarize flattens disagreements and uncertainty, leaving downstream tasks on shaky ground.

Solution

A conversation-distillation tool that organizes imported chats or manual excerpts into layers — task goals & constraints / confirmed judgments / supporting rationale / open questions / revised prior beliefs / acceptance examples — each with a confirmation status. The structured export feeds directly into coding agents as task constraints.

Users

PMs and indie devs using AI for requirement exploration, engineers converting chat outcomes into engineering tasks

MVP

Import chats or paste excerpts; six-layer tagging; confirmed / to-verify states; one-click export to structured Markdown/JSON; local-first storage

Revenue

Subscription SaaS; team tier adds multi-user collaboration and a knowledge base

Why now

AI chat is now the main requirement-exploration surface, yet the 'chat to executable task' step is nearly empty; pure text structuring is enough to start, ideal for small teams to validate fast