A fleet of agents that detects, diagnoses, fixes, and verifies enterprise incidents,
and writes what it confirmed into a governed institutional memory. An LLM never decides
what the organization does, and never decides what the organization believes.
1
Belief inspector
stored state · computed confidence
What the organization currently believes about an entity — with the evidence, the
computed confidence, and every earlier version it replaced.
2
Registry panel
stored state
Who the fleet trusts right now. Standing is re-read on every request, so a downgrade
takes effect on the next action, not the next deploy.
3
Counterfactual panel
measured offline
Is memory worth it? Measured across twelve live incidents — including the result that
came back against the design.
4
Live fleet view
model output
The reasoning chain, streaming: which agent, which model, what it concluded, what it
recalled.
hyp = hypotheses the agent considered (model-asserted) ·
tok = input+output tokens · recalled = beliefs memory handed the agent before it
reasoned
5
Approval card
deterministic code
Every held action, in plain language, for a non-engineer. Generated from the risk
table — never from a model.
6
Gateway ledger
deterministic code
Every decision the gateway signed, with its risk arithmetic — approvals, holds, and
denials alike.