Technical reference / quote intake

See where the workflow stops and who moves it forward.

These records come from a LangGraph execution of the five synthetic quote intake cases. Inspect the path, the human review pause and the final handling of each request.

5 synthetic casesReal graph executionHuman review before output

Run evidence

One workflow, five routes

Select a case to inspect its generated execution record.

Recorded graph run / standard-quote

Complete quote request

A known customer requests two products and provides delivery details.

Prepared for approval

Complete quote request: Approved preview prepared.

Execution path

Steps the graph took

7 recorded events
  1. RequestAccepted
  2. PolicyPrepared for approval
  3. ReviewPaused, resumed
  4. ResultApproved preview prepared
  1. 01
    Accept requestpassed

    Synthetic request standard-quote accepted.

  2. 02
    Check duplicatepassed

    No duplicate detected.

  3. 03
    Load interpretation fixturepassed

    Synthetic extraction fixture loaded; no AI model called.

  4. 04
    Apply decision policypassed

    approval: Validation passed; a person must approve the prepared output.

  5. 05
    Wait for a personpaused

    Execution paused at human review; state retained for resume.

  6. 06
    Record review decisionapproved

    Synthetic reviewer approved the prepared record.

  7. 07
    Prepare destination resultpassed

    Approved payload preview prepared; no external write was sent.

What this proves

The handoff is part of the workflow.

A TypeScript LangGraph runner uses the same typed fixtures and decision evaluator as the public quote intake demo. It pauses at a reviewer node and resumes with a synthetic decision. The published records are generated from those runs.

This page replays recorded results. It accepts no files, calls no AI model and sends no external message or record. The runner uses an in-memory checkpoint; recovery after a process restart is outside this example.

Check a workflow for your team