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Fleet product in build

We are building the product that makes company knowledge answerable.

CIO Knowledge Studio is the product face of SourceShaper Knowledge OS: one governed place where raw information becomes certified meaning, searchable knowledge, and best-type answers for every query box in the fleet.

Understand the components See the end result
From files and facts to trusted answers.

The knowledge graph stores certified meaning. Retrieval selects the right evidence. Answer contracts decide the best response format.

TruthD1 canonical facts
EvidenceR2 source record
RecallVectorize index
AnswerManaged contract

The product is four studios, not one chatbot.

Each studio gives the team a clear surface to understand progress. When we build, every feature should land in one of these components.

K

Knowledge Studio

Where information becomes managed meaning.

  • Entities and identities
  • Taxonomies and vocabulary
  • Relations, claims, and evidence
  • Certification and correction review
R

Retrieval Studio

Where we decide how a user question finds the right data.

  • D1 filters and graph traversal
  • Retrieval documents
  • Vectorize semantic recall
  • Unsupported terms and gaps
A

Answer Studio

Where we define the answer shape before AI writes anything.

  • Project and business lists
  • Comparisons and explanations
  • Missing-data reports
  • Evidence and confidence rules
O

Operations Studio

Where we operate knowledge like a production product.

  • Runs, versions, and audits
  • Evals and release gates
  • Roles and ARC entitlements
  • Usage, docs, and health

How the system works.

The storage is hybrid. Vectors are recall, not truth. The answer is grounded in canonical facts and evidence.

1
Information entersStructured addresses, scraped pages, PDFs, project files, or product data.
input
2
AI shapes meaningSourceShaper extracts facts, terms, claims, relations, and retrieval documents.
guided
3
Knowledge is certifiedD1 stores canonical facts, R2 stores evidence, Vectorize is rebuilt from approved retrieval payloads.
governed
4
Queries become answer plansThe product asks a question; SourceShaper returns a plan, evidence needs, and answer contract.
answer

How to read progress.

When the team reports progress, it should map to these build milestones.

KM1
Product definitionClear boundaries, glossary, roles, and plan hierarchy are in place.
planned
KM2
Studio interfaceThe role-based UI replaces tool-centric pages.
design
KM3
Knowledge modelEntities, taxonomies, relations, claims, and evidence become durable schemas.
model
KM4
Runtime contractsQuery plans and ManagedAnswer outputs are tested and validated.
runtime
KM5
Product adaptersYP and later VGM can use the same governed query layer.
integrate
KM6
Commercial readinessEvals, docs, metering, roles, and release gates make it operable.
ship

The end result: every product can ask its data better questions.

The query box becomes a governed product capability. Users ask in natural language; the product responds with the best answer type, not raw database trivia.

For users

  • "Which projects are unsigned?" returns an actionable project list.
  • "Which experts speak Dutch in Spain?" returns selected professionals.
  • "What data is missing?" returns a clear missing-information report.

For operators

  • Every answer traces to evidence, guidance, model policy, and evals.
  • Knowledge changes are reviewed, versioned, and releasable.
  • Unsupported questions fail safely instead of hallucinating.

For the company

  • One reusable knowledge product instead of prompt forks per website.
  • A future SaaS surface with roles, docs, metering, and commercial packaging.
  • A defensible architecture: D1 truth, R2 evidence, Vectorize recall, AI under contract.

Build knowledge once. Serve answers everywhere.

CIO Knowledge Studio is the company-facing explanation of the SourceShaper Knowledge OS we are building inside the GPN fleet. It makes the work visible: studios, contracts, storage layers, adapters, evals, and the final answer experience.

Plan walkthrough