Verified Truth

Settled Context

AI that only acts on verified truth. The opposite of hallucination.

Settled Context is the opposite of AI hallucination.

Settled vs Unsettled

Unsettled (Dangerous)
  • "You probably have a meeting Thursday"Based on patterns, not facts
  • "Your budget is around $500"Guessed from conversation
  • "You usually sleep 7 hours"Assumed from general data
Settled (Safe)
  • "You have a meeting Thursday at 3pm"Verified: Google Calendar
  • "Your remaining budget is $487"Verified: Plaid banking data
  • "You slept 6.5 hours last night"Verified: Apple Health

The Settlement Pipeline

1
Raw Data — User connects data sources (Calendar, Email, Banking, Health)
2
Ingestion — Data is securely indexed and made queryable
3
AI Query — AI generates claims that need verification
4
Settlement — GroundSync verifies each claim against indexed data
5
Settled Context — Verified claims become Settled Context for all agents

Frequently Asked Questions

What is Settled Context?

Settled Context is verified user data that has passed through the Truth Settlement Protocol. When Miyai states you have a meeting Thursday, that claim is Settled — confirmed against your Google Calendar by GroundSync. Settled Context is the foundation for Agentic Settlement: AI that only acts on verified data about your life.

What is the opposite of Settled Context?

Unsettled or Pre-Settlement context is unverified AI output that may contain hallucinations, assumptions, or outdated information. Traditional AI assistants operate entirely on unsettled context, which is why they often get facts wrong.

Why does Settled Context matter for autonomous AI?

If you want AI to book appointments, send messages, or make purchases on your behalf, it must act on verified facts. Unsettled AI might book a meeting at the wrong time or order the wrong product. Settled Context makes autonomous action safe.

Ground Your AI in Truth

Experience AI that never hallucinates.

Start for Free