Keep requirements and decisions intact while you build with AI
Building with AI moves fast. KOS keeps what you settled from being quietly unsettled in the next session.
The problem
When you build with AI, requirements drift between sessions. Architecture decisions are made, forgotten, and made again, often differently.
The cost shows up later: rework, inconsistent code, and time spent re-explaining the project.
A data model that stays decided
Three weeks into a scheduling app, the data model was settled in week one. A new session, missing that context, suggests changing it.
With KOS, the session reads the decision first and proposes work within it.
What KOS gives you here
Project briefs
Goal, constraints, and scope in one place every session reads.
Decision records
What you decided and why, so a new suggestion can be checked against it.
Review before it sticks
Proposed changes become maintained context only after you accept them.
Your first useful outcome
- 01
Write the brief
Goal, users, constraints, and what is out of scope.
- 02
Record two decisions
The ones you would hate to re-argue.
- 03
End with a handoff
Start your next session from it.
Start with one project
The Starter Kit is free and open source. One project is enough to see the difference in your next session.