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Daily build note · June 29, 2026

AI Pilot Proof Room

A local deterministic packaging layer that turns the existing Freight AI Pilot Readiness Sales Pack and optional Pilot Control Tower export into a buyer-facing proof room: demo runbook...

AI Tools Build note published Public demo coming soon

What shipped

Built a focused standard-library Python CLI package, ai_pilot_proof_room, with three commands:

  • sample-proof-room: seeds a synthetic compatible workspace.
  • generate-proof-room: creates buyer-facing proof-room artifacts from sales-pack/sales-pack.json and optional control-tower context.
  • validate-proof-room: enforces source contracts, artifact coverage, notices, scorecard structure, JSON parseability, and blocked unsafe autonomy language.

The generated proof room includes the demo runbook, 7-minute script, stakeholder proof pages, evaluation scorecard, approval-boundary walkthrough, objection handling, follow-up emails, and consolidated JSON export.

Architecture

  • Used Python 3.11+ standard library only for easy local inspection and deterministic execution.
  • Kept the project file-based: JSON in, Markdown/CSV/JSON out.
  • Reused the parent build's contract style and safety language, but did not depend on the parent path at runtime.
  • Made validation strict enough to catch missing files, removed notices, missing scorecard coverage, and unsafe autonomy promises.
  • Kept sample data synthetic and embedded so verification works without network access or external credentials.

Trimmed scope

  • No web UI, database, hosted deployment, PDF export, slide deck, or live integration.
  • No external APIs, browser automation, OAuth, provider calls, or model calls.
  • No attempt to regenerate the full parent sales pack. This build only needs the source JSON contract and optional control-tower context.

Limitations

  • Generated materials are deterministic templates, not custom legal, compliance, safety, or production freight guidance.
  • Validation uses explicit text coverage checks and unsafe phrase matching rather than semantic review.
  • The optional control-tower contract is read for workflow context but not deeply validated beyond local safety and opportunity presence.
  • The scorecard is fixed to five pilot criteria in the MVP.

Suggested next steps

  • Add support for importing a real sanitized sales-pack JSON from a prior local build.
  • Add a --strict-control-tower flag for deeper optional upstream validation.
  • Add alternate stakeholder templates for shipper, broker, 3PL, and consulting-partner audiences.
  • Add a local HTML preview after the Markdown/CSV workflow proves useful.