Build an AI assistant that answers only from sources you trust
✨ Built here · 10/12/2026
One of the challenges with AIs is that they seem to base their answers on the mode of their training data, not genuine thought leadership. Web searches give LLMs access to more language, not truth, and they often have a hard time telling the difference. I’ve built a “knowledge work factory” of sorts—akin to the software factories many companies are using now to write software—for doing complex research and synthesis. You pick the sources: books, guides, your own body of work. My tool then ingests, summarises, and indexes those in a way that preserves provenance all the way to the final output, and audits every claim back to its source. AAR Maker is built on it, and that’s still in use at my last client. My corpus is about 24M words or ~35M tokens, about 35x the maximum that can fit in a 1M context window. With its provenance-protecting indexing and summary system, I can run heavy synthesis queries that consider my entire corpus in about 500K tokens of context, in a single session.
