Kasava
WORKSPACES

A place for the AI to think

Workspaces are bounded context containers — a README, the sources you trust, and every chat and document scoped to it. The AI stops starting from zero.

Integrates with your favorite tools

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

One bounded context, everything inherits it

Instructions, sources, parameters, and a living summary the AI keeps current. Every chat, document, and plan inside the workspace inherits the full picture.

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A README for your AI

Freeform markdown that tells the AI what this work is about, what to investigate, what to avoid, and which decisions are already made. Progressive formalization without the structure tax.

  • Plain markdown — no rigid hypothesis schema
  • “Don't do this” section keeps the AI inside guardrails
  • Decisions log so prior calls don't get re-litigated
Kasava workspace README editor with instructions, constraints, and decisions
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A canvas where ideas earn their place

Drag observations from calls and docs onto the scratchpad. Group them into themes, frame the question as an HMW, and let the AI propose solutions — every card linked to the evidence behind it.

  • Observation → Theme → HMW → Solution lineage, visualized
  • Drop sources directly: customer calls, URLs, uploads, notes
  • Color-coded edges so you can trace any solution back to its evidence
Kasava workspace scratchpad with observations, themes, HMWs, and solutions on a canvas
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Scoped chat that remembers

Every conversation inside the workspace inherits the README, sources, and parameters. No re-explaining the constraints on every prompt — the AI already knows.

  • System prompt injects workspace context automatically
  • Answers cite the sources you added, not random retrieval
  • Constraints from the README shape suggestions in real time
Kasava workspace-scoped chat answering with inherited context

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