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Product boundaries

Understand what Teammately owns across correctness specification, benchmark development, evaluation, and improvement.

Product boundaries

Teammately owns the correctness system that connects specialist judgment to deliberate benchmark coverage, executable standards, constructed cases, evaluation evidence, and improvement history. This page distinguishes that system from adjacent inputs and downstream responsibilities.

Definition

The product boundary follows artifacts and authority. Teammately can index project knowledge, prepare an expert contribution, materialize an accepted policy or rubric, construct a case, execute an evaluation through a managed harness, and coordinate an Improvement Session. It preserves which inputs, versions, settings, and human decisions produced the resulting evidence.

Customer teams own the AI system outside that evidence graph and the action taken afterward. Teammately can prepare a scoped package for an external coding worker, but it does not claim private work performed outside the product. It can show benchmark evidence, but it does not turn that evidence into an automatic downstream decision.

Decision checkpoint

AreaTeammately ownsBoundary
Project knowledge and agent contextMaterials, Indexed Reference, Project Context, and Contribution-scoped agent behaviorReference material is not automatically a governed policy or rubric
Expert workContribution scope, tasks, checkpoints, attributable responses, and contributed artifactsAgent preparation does not substitute for the expert's judgment
Cases and worldsCanonical case input, case materials, generated artifacts, and verified world referencesStatic materials and executable environments remain distinct
EvaluationBenchmark Versions, saved Harness Versions, settings, Runs, responses, Rubric results, and comparisonsA score alone does not explain correctness; execution traces are not currently exposed
ImprovementGoal Contracts, candidates, evaluation receipts, frontiers, and chronologyExternal worker activity is represented only when returned through the defined contract
Downstream actionInspectable correctness evidence and review contextThe customer decides what operational action follows

Human and agent authority

AI agents scale preparation and exploration. They can organize source material, propose coverage structure, draft possible standards, generate cases, evaluate candidates, and suggest improvement directions. The owning surface determines when an artifact becomes durable or governed. An agent proposal does not silently acquire expert authority.

Expert Contributions make this boundary explicit. The product can prepare focused questions and relevant evidence, while the domain specialist supplies the judgment. Correctness Governance records policies and rubrics as governed project assets. Improvement Sessions can branch candidate hypotheses, but retained candidates require observable evaluation evidence.

Data and execution boundary

Project Input Schema controls the accepted shape of case input and materials. Static context remains part of case content or case-material references. An executable or queryable environment uses a world reference and follows a separate runtime boundary. Public docs describe the behavior visible through stable product surfaces; they do not promote internal storage or service structures into customer-facing contracts.

Similarly, the presence of Harness Assets and managed Runs does not imply that Teammately owns a customer's model registry, production telemetry, or deployment system. A harness is the executable candidate boundary used by a benchmark evaluation.

Worked example

External coding worker

An Improvement Session starts from failed grounding Cases and a confirmed Goal Contract. Teammately prepares a scoped package for a coding worker with the pinned target and evidence. The worker's private activity is outside the product boundary. A returned Harness Version and canonical evaluation request become observable candidates; their Rubric results enter the session record, while Improve may add a safe narrated trajectory of observable session activity.

Source confidence

Doctrine-backed: this page states product ownership and authority boundaries. Exact UI and execution behavior is delegated to linked code-backed pages.

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