
Mind Reasoner has three core concepts: Minds, Snapshots, and Simulations. Master these, and everything else becomes intuitive.
The basics: Create a Mind → Upload transcripts → Run Simulations
A mind is a container that represents a person. Think of it as a digital profile.
Minds are the foundation of Mind Reasoner. Each mind represents one person and can have unlimited snapshots trained from different datasets or time periods.
A snapshot is a trained AI model built from conversation transcripts. It captures how someone thinks and communicates at a specific point in time.
Provide conversation transcripts (.vtt, .pdf, or .docx). Minimum: 10-20 conversations or 5,000+ words.
More data = better accuracy. Use recent transcripts (last 6 months) for best results.
A simulation predicts how someone would respond to any scenario based on their trained snapshot.
Vague: “How would they handle a complaint?”
Specific: “A customer received a damaged product 3 days before their event. They need a replacement by tomorrow, but the product is out of stock. How would you respond?”
Choose how you want to get started:
Use Claude to create minds with natural language. No code required.
Build custom applications with HTTP REST API. Full programmatic control.