This roadmap turns the repository from a strong concept-and-notes project into a validated, machine-readable, governance-ready architecture.
The repository already has a clear thesis: as AI makes answers cheaper, the scarce resource becomes decision capacity.
What is still missing is the execution layer that makes that thesis durable:
- consistent artifact contracts
- validation and CI
- explicit framework files, not only framework intent
- lifecycle and change governance
- pilot examples that prove the architecture can travel from theory into use
- Keep
docs/how-to-read-this-repo.mdas the reading guide. - Make
ROADMAP.mdan actual roadmap. - Align every “included” or “coming next” claim with the files that actually exist.
- Replace the duplicated reading-guide content in
ROADMAP.md. - Add a repository-wide artifact schema.
- Add a validator script and CI workflow.
- Fill the root
framework/package with the files it already promises.
- The repository tree matches its own README claims.
- All
artifact.jsonfiles validate. - CI fails on contract drift.
- Make machine-readable artifacts real repository primitives, not just examples.
- Normalize metadata across root and concept-node artifacts.
schemas/artifact.schema.json- normalized
artifact.jsonfiles across the repo scripts/validate_repo.py.github/workflows/validate.yml
- every artifact has:
- stable
artifact_id - consistent
artifact_type - normalized author structure
- version and status
- summary
- scope
- source document references
- stable
- duplicate IDs are rejected
- broken source references are rejected
- Turn the root
framework/package into a usable starter kit. - Make the architecture legible to humans and testable by machines.
framework/docs/core-schema-spec.mdframework/schemas/core/classes.yamlframework/schemas/core/edges.yamlframework/schemas/extensions/religious.yamlframework/schemas/extensions/secular.yamlframework/validation/shacl/core.shacl.ttlframework/examples/religious-justification.ttlframework/examples/secular-ai-safety.ttl
- the framework package is self-describing
- example data conforms to the starter shape rules
- the root
framework/README.mdis no longer aspirational
- Make ontology/taxonomy evolution governable.
- Prevent silent semantic drift.
GOVERNANCE.mdgovernance/change-taxonomy.yaml- lifecycle expectations for draft → active → deprecated → retired
- replacement and migration rules for future term changes
- breaking vs non-breaking changes are defined
- deprecations preserve resolvability and replacement pointers
- reviewers and required artifacts are explicit
- Demonstrate that AIRCA + fractal architecture works on real decisions, not only on conceptual notes.
- Secular pilot
- AI safety / policy / product governance example
- Christian pilot
- LAIRCA / theological governance example
- Cross-context pilot
- same core framework + different extension pack
- each pilot has:
- a bounded question
- structured views / positions
- assessments and assertions
- evidence / provenance
- coherence or ranking output
- review trail
Repository contracts and validation
- artifact schema
- normalized artifacts
- CI
- real roadmap
Framework starter package
- classes
- edges
- extension packs
- SHACL
- examples
Governance release
- change taxonomy
- lifecycle policy
- migration rules
Pilot release
- one secular pilot
- one Christian pilot
- documented review path
The highest-leverage next move is not writing more notes.
It is locking the repository’s own contracts:
- schema
- validation
- framework starter files
- governance rules
That is the shortest path from “interesting architecture” to “credible reference implementation.”