Nicholas Dunzelman

AI coding deployment sample run ยท checked May 19, 2026

A filled receipt for the deployment field kit.

The field kit is not only a template. This sample shows a real public-safe run: scope card, receipt, failure taxonomy, decision table, and product feedback from publishing the field-kit proof itself.

Scope

The task

Convert the 30-day Codex deployment plan into reusable templates, publish the field kit, mirror the source into the cleanroom repo, update the proof brief, and record the branch in the public inspector.

Acceptance required live Pages deployment, source verifier success, graph/ledger recording, and public scans with no private inbox IDs, local paths, or affiliation claims.

Receipt

What changed

  1. Context Role page, interview guide, Gmail gate, proof graph, field plan, proof brief, cleanroom verifier.
  2. Files Field kit docs, Pages page, proof brief link, 30-day plan link, sitemap, verifiers, graph, ledger data.
  3. Commands Pack verifier, unit tests, repo verifier, Pages QA, originality gates, graph validation, ledger verification, live fetches.
  4. Failures Originality gate caught repeated proof-link phrasing; public export needed broader graph-text redaction.
  5. Decision Ready as proof of operating shape; not evidence of customer deployment history.

Signals

What the sample proves

Artifact over pitch The deployment claim is easier to judge when it has filled templates and commands.
Gate-aware progress Outreach stayed closed because two prior notes were unanswered and the 2026-05-26 gate remains active.
Product signal The public proof export needed full graph-text sanitation, not evidence-only redaction.
Customer handoff The sample is customer-forwardable: scope, proof, miss, decision, and next owner are explicit.

Proof stack

Field kit Receipt reference 30-day plan Proof brief Ledger inspector Cleanroom repo

Boundary

Cleanroom line

This page is independent from OpenAI. It uses OpenAI and Codex only to name public role context. It does not use OpenAI logos, product UI, private systems, or affiliation language.

Sources checked: AI Deployment Engineer - Codex and OpenAI interview guide.