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What adapterOS records—and what that means.

adapterOS is an evidence-bound intelligence workspace and engine. It keeps the source scope, supporting evidence, execution state, policy, and review path inspectable without pretending those records make every conclusion correct.

Proof is specific.

adapterOS becomes more credible when each control says exactly what it records, checks, measures, or leaves to a reviewer. These concepts reinforce one another, but they are not interchangeable.

ConceptWhat the system can retain or checkWhat it does not establish
Source scopingWhich approved collection or source set governed the run.That every fact the model knows came from that source set.
Evidence provenanceWhich admitted passages or locators support a claim.That the source itself is correct, current, or complete.
Source integrityContent identity and change signals when the source path supplies them.That the author or upstream system was trustworthy.
Answer-support checksWhether required evidence is present, missing, partial, or degraded.That the conclusion is semantically correct.
Execution recordInputs, configuration, output, evidence, policy, and run state at the supported disclosure level.That the recorded output should be approved.
ReproducibilityWhether the execution record contains enough state to revisit or compare a run.That rerunning later will produce the same output under changed conditions.
EvaluationResults against a declared question set, source scope, refusal cases, and acceptance criteria.Universal accuracy outside the evaluated conditions.
Policy enforcementWhich configured rules applied and whether the run was allowed, denied, or routed for review.Certification or legal compliance by itself.
Reviewer approvalThe human decision, state, and rationale when the workflow captures them.A substitute for accountable human judgment.

One product, two surfaces.

The workspace is where people select sources, ask, inspect evidence, and review. The engine carries the same rules into another application or operational workflow.

Direct use

Workspace

  1. SourcesSelect approved records.
  2. AskRun source-scoped work.
  3. EvidenceOpen support and limits.
  4. ReviewRecord the human decision.
Embedded use

Engine

  1. Source scopeDefine what the run may use.
  2. PolicyApply configured rules.
  3. Governed runAnalyze within the boundary.
  4. Proof recordRetain evidence and state.

The unit of work is a governed run.

Search, question answering, drafting, comparison, and analysis follow the same operational shape. That shared shape is what lets a result be inspected, reviewed, and returned to another workflow.

  1. 01Choose scope

    Select the records and collection boundary for the job.

  2. 02Apply policy

    Load the rules, permissions, evidence requirements, and review path.

  3. 03Run the operation

    Ask, compare, draft, or analyze within the configured environment.

  4. 04Inspect evidence

    Open citations, support strength, gaps, and execution state.

  5. 05Review or export

    Approve, reject, revise, or return structured work to the operating system.

Built around the systems you already operate.

Workspace and engine are two delivery surfaces for the same governed run. MLNavigator scopes each integration around the customer's access model, source authority, and review path.

Direct use

Workspace

Employees select sources, ask, inspect evidence, and record review in adapterOS.

Embedded use

Engine

The same source, evidence, policy, and review flow runs behind existing software.

Existing systems feed approved sources into adapterOS analysis, evidence, and review before approved outputs return to operational software.
Existing systems

Approved sources

Local files and folders · approved document exports · internal applications · REST interfaces

adapterOS
  1. ScopeSelect source and access boundaries.
  2. AnalyzeRun the configured task and policy.
  3. EvidenceAttach support, limits, and run state.
  4. ReviewRoute the result for human decision.
Approved result

Return useful work

Answer · record · decision · review note · structured output

Current concrete interfaces are local files and folders plus REST. Other systems are evaluated as customer-specific integration work during the pilot; no packaged or certified connector is implied.

Start with a question that is expensive to verify.

Bring the approved documents. Establish the baseline. Define what an acceptable answer and review record look like. Then run a bounded pilot.