Docs

Research workflow notes

How the site turns an open-source investment-research framework into a paid hosted planning companion.

Getting started

  1. Open the planner and describe a company, ticker, or thesis.
  2. Review the sample gate structure and choose a package.
  3. Start checkout through the product-domain checkout endpoint.
  4. After paid access is verified, generate a structured research brief.

Source and boundary

AI Berkshire Space is independent, unofficial, and source-derived from the public AI Berkshire repository. MIT license facts, skills, prompts, Python tools, architecture, and report examples inform the workflow. This site does not claim official endorsement.

Method and limits

Is this investment advice?

No. It is educational workflow support and memo planning. It does not recommend buying, selling, or holding securities.

What data should be checked?

Prices, filings, financial statements, market cap, currency units, valuation, and management claims should be cross-validated with primary or reputable sources before any decision.

How is data handled?

Operational events are stored in D1 when configured. Do not submit secrets, brokerage credentials, private account screenshots, or personally sensitive data.

Official Sources

Official upstream repository and license references are named in the local build report and facts JSON. Conversion CTAs stay on ai-berkshire.space.