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WORKSPACES

One scope per project. No mixed wires.

A README, the sources you trust, and every chat and draft scoped to it. The AI stops starting over and stops mixing up your projects.

Plays nicely with the tools you already pay for

Workspace
Kasava workspace detail page with README, sources, and scoped chat panel

One workspace, everything inherits

Instructions, sources, and a running summary that the AI keeps current. Every chat and draft inside the workspace already knows the constraints.

2

A README the AI actually reads

Plain markdown. What the project is, what to look at, what to avoid, what's already decided. Update it as you learn, the AI stays current.

  • Plain markdown, no rigid template
  • A 'don't do this' section the AI honors
  • A decisions log so the same call doesn't get re-argued
Kasava workspace README editor with instructions, constraints, and decisions
3

A canvas where every card cites its source

Drag observations off your Gong calls and docs onto the scratchpad. Group them into themes, frame an HMW, ask Kasava for solutions. Every card links back to the quote it came from.

  • Observation → Theme → HMW → Solution, visualized
  • Drop in calls, URLs, uploads, or notes directly
  • Trace any proposed solution back to the evidence that produced it
Kasava workspace scratchpad with observations, themes, HMWs, and solutions on a canvas
4

Chat that doesn't make you re-explain

Every chat inside the workspace inherits the README and the sources. You don't have to type the constraints into every prompt. The AI already knows.

  • Workspace context loaded automatically into every chat
  • Answers cite the sources you added, not whatever the AI guessed
  • README rules shape what the AI suggests
Kasava workspace-scoped chat answering with inherited context

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Free to try. No card. We’ll draft from your actual GitHub code so you can judge whether it’s any good.

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