The answers hub
Real questions. Straight answers.
Every page here answers one question completely, in plain language, honest about its limits. More get published every week. The deeper treatment behind all of them is the Council Method and the book that teaches it.
The method and the book
Trust and verification
- Can AI check its own work?
- Can I trust ChatGPT for business decisions?
- How do I fact-check an AI answer without being an expert?
- How do I know if an AI answer is correct?
- How do I stop AI from hallucinating?
- If two AI models agree, does that mean the answer is right?
- What is an AI hallucination?
- What kinds of questions do AI models get wrong most often?
- Why do AI models give wrong answers so confidently?
Multi-model workflow
- Do I need paid AI subscriptions to use multiple models?
- How do I compare answers from ChatGPT, Claude, Gemini, and Grok?
- How do I get an AI to show its work?
- How do I get better answers from ChatGPT and Claude?
- How do I write a prompt that forces an AI to prove its answer?
- How many AI models should I use?
- How do I get the right answer from AI the first time?
- Is ChatGPT or Claude better?
- Should I use more than one AI model?
- What is multi-LLM orchestration?
- What is multi-model AI verification?
- When is one AI model enough?
- Why do different AI models give different answers to the same question?
Professional use
Choosing a book
Read the whole method.
Hardcover and Kindle. 166 pages, no filler, tools you can use tomorrow.