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Beta Answers are written by an AI model (Claude, via OpenRouter) from the full text of my published articles, with links to the articles used. It can make mistakes, so check the articles before relying on an answer. Nothing here is legal or financial advice.

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Helps the answer focus on the parts of my writing most relevant to you. It is used to frame the answer, not as fact.

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How the answers are put together (and what RAG means)

Each question is answered by reading everything: the full text of all my published articles and my About and Services pages goes to the model with your question, so it can connect ideas across articles.

Under each answer you can also compare it with a RAG answer. RAG stands for retrieval-augmented generation: instead of reading everything, the AI first searches the documents and answers from only the passages the search finds. It is how most business AI assistants work. Here it uses the same model and instructions: the search ranks passages, and the 25 or so documents they come from are sent whole, with my About page. A table shows what each approach read, how long it took and which articles each one used.

More on when each approach fits in Your company already knows the answer.

Your question is sent to the Ask service and kept for 30 days so I can see what people ask; please do not include personal or confidential details. See the privacy notice. For anything specific to your organisation, book a conversation. Prefer to use your own AI assistant? The same writing is available through a read-only MCP server.