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VisionVolve — Internal

Greenfield install · GroupWide
Greenfield

Strategic notes

Assumptions, hypotheses, analyses, observations, claims, risks, decisions. The reasoning trail behind the engagement — the thing the brief and concept docs draw from.

Claim·active·confidence: high·source: memory:vv-business-os-vision
VisionVolve is one Business Operating System modeled on Beer's VSM

The ~20 repos are not a portfolio of apps but a single Business OS read through the Viable System Model: S5 = founders + methodology canon + brand; S4 = Monitor/sensing + evidence graph; S3 = vv-ops + delivery + backlog; S2 = vv-standards + catalog + iam + design-system; S1 = client engagements tooled by Transform, Workshop, Engage. The same organs recur at three scopes — suite, market, client — which is VSM recursion, not metaphor.

vsmvisionbusiness-ospublic-narrative
Claim·active·confidence: high·source: doc:2026-07-09-ecosystem-and-suite-citizenship
Five binding contracts let ~20 repos compose without merging

The suite composes through exactly five contracts: (1) iam-JWT for identity, (2) catalog entity/slug for shared vocabulary, (3) "signal" for the sense→reason seam, (4) VVDOC for documents, (5) engagement-graph export for delivery data. Everything else is a repo-local decision. Contract (3) is the only one not yet built — it is the keystone gap, and its absence is what keeps sensing disconnected from reasoning.

contractarchitecturesignalcomposition
Claim·active·confidence: high·source: memory:vv-business-os-vision
Three knowledge graphs, never merged: sense → evidence → reason

The suite deliberately maintains three separate knowledge graphs: sensing (radar) for market signals, evidence (AIT) for the public evidence-claim graph, and reasoning (operate) for per-engagement strategy graphs. They connect via typed handoffs (the signal contract, read-only augmentation), never via a merged uber-graph. Merging would destroy provenance boundaries and couple client IP to public data.

knowledge-grapharchitecturesignalboundary
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Where did this come from? interview:Peter Varga, doc:concept-v0.3, inference
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