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Venture Studio · Build
A venture studio built a solid knowledge base so its AI agents would actually work
A first AI executive assistant failed because there was no organized knowledge underneath it. This time, we built the knowledge base first: every LP, fund, portfolio company, and investment decision captured before adding a single agent.
The problem
A venture studio tried an AI executive assistant that kept giving wrong answers. The root cause was no organized knowledge underneath it. The firm's principal wanted to run AI-first, but that meant building a real knowledge base before turning on any agents.
What we built
- Only final documents feed the AI, not drafts. A prior build hallucinated because it read working files alongside final ones. Cutting drafts from the source fixed that.
- The AI reads every memo, IC deck, and email thread from the firm's history and extracts why each deal was done or passed. That institutional memory used to live only in the founders' heads.
- A simple dashboard in Replit lets the principal see the knowledge graph and direct what to add next. Fast iteration matters because the structure the AI relies on is still taking shape.
- Agents get added once the knowledge base is solid. The first build failed by going agent-first. This one goes knowledge-first by design.