Question 1

What is Thinkn Studio?

Accepted Answer

A workspace for structured thinking. It tracks your beliefs — claims, evidence, confidence, gaps — as you work through complex decisions. You get coherence analysis and a belief graph instead of loose notes.

Question 2

How is this different from a regular AI chat?

Accepted Answer

Chat tools generate text. Studio models what you believe. Every claim carries confidence, provenance, and evidence links. Contradictions surface automatically instead of hiding in a transcript.

Question 3

What does coherence analysis do?

Accepted Answer

It scores how well your current beliefs hold together — where claims contradict, where evidence is thin, where confidence has decayed. A health check for your thinking.

Question 4

What is the Belief SDK?

Accepted Answer

A TypeScript package that adds a belief layer to any agent. Two calls — beforeTurn and afterTurn — give your agent a live model of what it thinks is true, how confident it is, and what is missing.

Question 5

How does it handle conflicting claims?

Accepted Answer

The fusion engine detects conflicts, resolves them by trust weight, and keeps both sides in the ledger. Nothing is silently discarded. Query contradictions from the snapshot and handle them in your logic.

Question 6

Is there vendor lock-in?

Accepted Answer

Standard data formats. Beliefs, evidence, and reasoning traces can be exported. The SDK is also available if you want the same substrate in your own infrastructure.

Frequently Asked Questions

What is thinkⁿ?

What is a world model, and why would I run my agents on one?

How is this different from the context window or memory my agent already has?

Can't I just use markdown files, a vector store, or a knowledge base for this?

What breaks if my agents have no shared sense of what's true?

Can I finally hand real work to AI agents with this?

What would my team and agents actually use it for, day to day?

When should I not reach for a world model?

Does this work with my stack, and how do I add it to a loop I've already built?

Who owns my data, and does any of it train models?