Core Concepts
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
Minds
A mind is a container that represents a person. Think of it as a digital profile.
Overview
Example
API Actions
MCP Tools
What it does
- Stores conversation transcripts — Upload and manage training data
- Holds metadata — Name, creation date, and configuration
- Creates snapshots — Generate multiple AI models over time as data evolves
Minds are the foundation of Mind Reasoner. Each mind represents one person and can have unlimited snapshots trained from different datasets or time periods.
Snapshots
A snapshot is a trained AI model built from conversation transcripts. It captures how someone thinks and communicates at a specific point in time.
How It Works
Requirements
API Actions
MCP Tools
Training process
Upload Data
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.
Simulations
A simulation predicts how someone would respond to any scenario based on their trained snapshot.
Writing Scenarios
Response Details
API Actions
MCP Tools
How to write effective scenarios
Be Specific
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?”
Include Context
- Emotional state — frustrated, confused, urgent
- Time constraints — by tomorrow, within 24 hours
- Constraints — out of stock, over budget
- Desired outcome — resolution, information
Add Relevant Details
- Background information
- Stakeholder concerns
- Business constraints
- Historical context
Quick Start
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.
