Context engine
How Hyperoru gives each specialist the smallest evidence-complete view needed for a reliable review.
The context engine turns architectural truth into a focused review packet. Instead of sending an entire system to every model, Hyperoru selects the entities, relationships, evidence, findings, policies, and known uncertainty relevant to one specialist decision.
What a context pack contains
- the part of the system currently under review;
- canonical entities and relationships;
- evidence and provenance for material claims;
- active findings and coverage gaps;
- applicable workspace policies;
- contradictions that still need adjudication.
Why bounded context matters
Focused context improves speed, reduces cost, and makes results easier to verify. Every generated artifact can point back to the exact evidence pack, agent version, model tier, and output schema that produced it.
Reuse without stale conclusions
Hyperoru can reuse deterministic facts and validated artifacts when the source, context, agent definition, model, and schema are unchanged. Changes to any of those inputs create a new review context rather than silently reusing an old conclusion.
Evidence remains the source of truth
Context packs help agents reason, but they do not replace the canonical architectural model. Unsupported observations remain hypotheses until a person or independent evidence confirms them.