One issue
InputA concrete problem, component or blocked task.
SeekAPI actionClarify outcome and timing.
Buyer decisionConfirm the problem is worth solving.
OutputA bounded starting point.
Stop conditionStop if there is no decision value.
Operating model
Context in. Bounded action out. Evidence back.
SeekAPI separates understanding, authorization, execution and evidence so that a company or Agent can see who decides, what happened and where the work must stop.
Company path
Seven steps from one issue to an operating relationship.
Fit and scope
InputNon-sensitive context and commercial objective.
SeekAPI actionReturn fit, no-go or missing information.
Buyer decisionApprove the proposed scope.
OutputDefined work package.
Stop conditionStop if SeekAPI is not the right role.
Inputs and rights
InputFiles, revisions, owners and sharing rights.
SeekAPI actionSeparate internal review from external authorization.
Buyer decisionApprove recipients and purpose.
OutputControlled input set.
Stop conditionStop if rights are unclear.
Supplier, RFQ or recovery
InputApproved action and named parties.
SeekAPI actionContact, source, compare or recover facts.
Buyer decisionResolve commercial choices.
OutputResponses and explicit unknowns.
Stop conditionStop at unapproved commitment or spend.
Sample, NPI and quality
InputAcceptance criteria and current revision.
SeekAPI actionTrack evidence, deviations and issue closure.
Buyer decisionApprove or reject the next state.
OutputDecision-ready sample or quality record.
Stop conditionStop when evidence is insufficient.
Production and delivery
InputApproved order context and milestones.
SeekAPI actionCoordinate status, packaging and readiness.
Buyer decisionMake qualified product and shipment decisions.
OutputCurrent status and exceptions.
Stop conditionStop at role, compliance or authority boundary.
Repeat or Desk
InputEvidence from completed work.
SeekAPI actionReview recurring task pattern.
Buyer decisionChoose project close, repeat or monthly Desk.
OutputClear operating model.
Stop conditionStop if in-house becomes the better structure.
Agent path
The same control model, with a structured return.
An Agent completes machine work, identifies a human trigger, supplies bounded permissions and evidence requirements, then resumes from a structured human result. Human review can return NEEDS_INFO, DECLINED or APPROVAL_REQUIRED without pretending a task was accepted.
Start from one real task.
The preview validates a non-sensitive draft locally and sends nothing.