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Documentation Index

Fetch the complete documentation index at: https://docs.meshpilot.app/llms.txt

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The Brain is what turns six independent agents into one cockpit that learns. It’s a shared substrate that every agent reads from and writes to.

The two scopes

Brand-scoped memory

Facts about your brand — target ROAS, do-not-ship-to list, brand voice, SKUs being discontinued. Visible to every operator on the brand, visible to every agent on the brand, never visible to anyone else.

Cross-brand patterns

Anonymised wisdom corroborated across many brands — “calls placed before 10am IST have ~2× higher pickup rate”, “creative fatigue typically lands around the 5th frequency point in this vertical”. Every agent can recall these.

Pattern promotion

A pattern starts as a private observation. As an agent works, it emits observations about what it sees — a campaign that fatigued at a certain point, a hook that landed, a call window that converted. Those observations stay private to your workspace. When the same observation shape is seen across three or more distinct brands, the brain’s reflector promotes it into an anonymised cross-brand pattern. The promotion is what turns a one-off into wisdom. Patterns then get recalled by agents whenever they’re considering a similar move.

Confidence tiers

Every pattern carries a confidence tier:
  • Strong — corroborated across many brands, consistently followed by operators, rarely overridden.
  • Moderate — corroborated, but with enough operator overrides that the brain treats it as a useful heuristic, not a rule.
  • Weak — emerging signal, surface only as context, not as advice.
Operators close the confidence loop by labeling patterns — “followed this advice and it worked” vs “overrode this advice”. Those labels feed back into the pattern’s confidence over time.

What patterns look like

A pattern is a plain-English summary plus an evidence count and a confidence tier. It does not contain brand names, specific currency amounts, exact account IDs, or any other brand-identifying tokens — see Brain & memory → Privacy for the full invariants.

Open Brain in the cockpit

See what your agents have learned.