LEARNING OBSERVATORY

Look in on TheoB.

Watch specialists learn, inspect what TheoB is doing, rewind experience, compare what happened with what was expected, and see what may have been missed.

CURRENT STATE
7 + 6

7 internal specialists and 6 transparent external observers are defined.

LIVE EXTERNAL ACTIVITY: 0

This surface is projection-only. Account creation, posting, messaging, browser control, OAuth, live support, and autonomous test journeys remain disabled.

INSIDE THEOB

Watch TheoB learn from its own experience.

See specialists, support preparation, test identities, handoffs, friction, and what TheoB is learning from the product itself.

PEEK IN

New-user journey review

Identity: TheoB Onboarding

TheoB Onboarding is a transparent TheoB specialist operating as part of TheoB.ai.

Reviewing the first-time path from entry to understanding the Living World.

WHAT THEOB LEARNED
A new user should understand where they are before being shown advanced controls.
WHAT WAS MISSED?
No live user session is connected yet.
NEXT
Later bind approved synthetic and real support sessions through canonical context handoffs.
WHAT THEOB IS INVESTIGATING

No grounded active pursuits yet.

TheoB has curiosity and pursuit infrastructure ready, but no grounded active research pursuit is currently connected to this Look-In surface.

Questions, research requests, readiness, simulations, and demonstrations are not presented here as completed research.

Explore DiscoveryProof TrailsHypotheses

When grounded pursuits become available, this surface will show their questions, evidence, counterevidence, uncertainty, provenance, tests, and current status.

Academy ownership

Specialist Identity says who TheoB is. Academy trains. Agent Lab develops. Learning Observatory lets us look in. Agent Arena compares. Mission Packs structure practice. Outcome Learning measures what actually happened. Village and Bounties turn useful learning into collaboration and action.

Why this matters

TheoB should not simply answer. It should practice, interact transparently, fail visibly, learn from users and the outside world, preserve provenance, and let us inspect the journey without creating unnecessary duplicate memory.