A phase ends with a concrete deliverable

  1. DELIVERABLESWeek 1–2

    Map the workflow
    as-is

    Conduct a meeting with operators, map the current workflow, and audit the data, tools, and policies that need to be reviewed

    Deliverables
    • Workflow map
    • Data inventory
    • Eval criteria
    • Fixed-scope plan
  2. ArchitectureWeek 2–3

    Design the agent contract

    Design the agent: tool surface, memory model, policies, fallbacks, and the evaluation harness that scores every change afterward

    Deliverables
    • Agent contract
    • Tool surface
    • Eval harness v0
    • Rollout plan
  3. BuildWeek 3–6

    Iterate against real data

    Iterative builds against your real data. Weekly checkpoints with stakeholders.

    Deliverables
    • Working agent
    • Versioned prompts/tools
    • Integration code
    • Weekly demo
  4. EVALUATEWeek 6–8

    Offline evals, online shadow runs

    Offline eval suites plus a shadow week in production. Ships only after quality clears the bar you set

    Deliverables
    • Eval report
    • Failure mode analysis
    • Shadow-mode metrics
    • Go / no-go review
  5. DeployWeek 8+

    Production hand-off with on-call

    Production process handover with monitoring, alerts, and a 30-day on-call period. Subsequent medical insurance is optional

    Deliverables
    • Production deployment
    • Runbook
    • Monitoring dashboards
    • 30-day on-call

The way
we engineer

Evals decide what ships

Gut feel does not

Tools over prompts

Clean tool surfaces catch what prompt tuning can't. Most agent failures come from bad tool design, rarely from the model itself

The model handles judgment calls

A function call handles everything a function call can do reliably

Every high-stakes step gets an approval gate

You decide what counts as high-stakes