Context Defuser

Keep tasks, open questions and pending choices straight when you drive several coding agents

Problem

People who code with AI for long stretches find their own multitasking limit: give an AI three tasks at once and on return you can't tell what each was told, and when it asks you to choose you no longer know which is right. Eventually you just accept the AI's recommendation, and confidence keeps dropping.

Solution

A lightweight orchestration layer: bind each agent session to an explicit goal and acceptance criteria, automatically extract decision items, change summaries and risks, and produce a single needs-my-confirmation list where blockers get handled together, with decision history.

Users

Developers running multiple coding agents on freelance or indie projects

MVP

Enter goals and acceptance criteria; extract pending decisions from conversation; one-page confirmation list with notes; session/branch links and status board; local storage plus daily report export

Revenue

Personal subscription by tasks or sessions, team seats for teams

Why now

Parallel agents are now normal but human attention is the bottleneck; this orchestration layer is model-agnostic, so an indie developer can build it for themselves and then sell it