Agent execution context

Give agents enough truth to act, then capture what they discover.

Xohre assembles bounded context from accepted intent, current decisions, repository scope and verification expectations. Agent output returns as implementation evidence, new decisions, impacts and semantic change instead of disappearing into a coding session.

  • Bounded context
  • Semantic delta
  • Explicit authority
SEALED CONTEXT
Context PackExact versionspolicy + scope + evidence
Requirements
Decisions
Repository
Verification
AI RUNBounded executionprovenance retained
Context that closes the loop

Optimize context cost without losing governance.

Agents can work from the smallest sufficient governed context and return only the material change that the wider system needs to understand.

01

Target

Identify the outcome, record, work item or code surface the agent is expected to change.

02

Assemble

Include accepted intent, relevant decisions, constraints, repository scope and verification expectations rather than the whole knowledge base.

03

Execute

Allow the agent to design and implement within bounded tools, side effects and approval policy.

04

Return the delta

Capture affected intent, implementation changes, new design choices, evidence, risks and unresolved questions for reconciliation.

Autonomy with an accountability boundary

Agents can move fast while the system keeps authority explicit.

Xohre treats agent intelligence as execution capacity. Product authority, material acceptance and production authority remain governed concepts.

01

No forced full rewrite

A task can return a compact semantic delta when rewriting every related specification would add cost without adding control.

02

No invisible design drift

Material implementation choices are connected back to the affected intent and surfaced for reconciliation.

03

No implicit production authority

Code generation, human acceptance and production promotion can remain separate governed steps.

From execution to reality

Agent output becomes governable when it returns with impact and proof.

Connect implementation results to evidence, detect what became stale and carry only current proof into release decisions.