Yesterday’s logs made the next layer explicit.
The Sovereign Brain thesis has tightened again.
Boundaries matter: approval policy, telemetry, review. Checkpoints matter too.
But the centre of gravity has moved to workflow memory.
At the top of the market, SMB AI is becoming recipe libraries and managed runtimes. At the bottom, serious deployments are becoming sandboxes, identity, connectors, audit logs, and approval gates.
That leaves the same missing middle everywhere.
A useful system has to preserve why the work is in its current state, which sources shaped it, what changed at each checkpoint, what still needs human review, and how to resume without smearing drift across the artifact.
That is why “AI wiki” is too small.
The product is the knowledge/control layer for governed AI work.
Recipes will commoditise. Runtime access will commoditise. Raw capability will keep spreading.
The scarce layer is controlled continuation: provenance, checkpoints, review loops, durable skills, and a memory of work that survives the model run.
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