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Daily build note · June 30, 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 standard-library Python CLI package, ai_pilot_proof_room, that creates and validates a local buyer-facing proof room from a Freight AI Pilot Readiness Sales Pack.

Implemented commands:

  • sample-proof-room --path <workspace> creates deterministic demo inputs under sales-pack/ and pilot-control/
  • generate-proof-room --path <workspace> writes the complete proof-room artifact set
  • validate-proof-room --path <workspace> checks source contracts, generated outputs, disclaimers, required coverage, JSON parseability, scorecard structure, and unsafe autonomy language

Generated outputs:

  • demo runbook
  • 7-minute demo script
  • stakeholder proof pages
  • evaluation scorecard CSV
  • approval-boundary walkthrough
  • objection handling
  • follow-up email variants
  • consolidated proof-room.json

Architecture

  • Used Python 3.11+ and only the standard library for easy local inspection and deterministic execution.
  • Reused the parent build's contract style: filesystem workspace, JSON source files, Markdown/CSV/JSON outputs, and a direct shell verifier.
  • Seeded compatible demo input locally so verification has no absolute dependency on the parent build path.
  • Kept validation explicit and string-based because the artifact requirements are fixed and buyer-facing.
  • Treated the optional control-tower JSON as enrichment, not a hard runtime dependency.

Trimmed scope

  • No web UI, PDF, slide deck, database, hosted deployment, SaaS account model, or external integrations.
  • No live freight, TMS, EDI, carrier, payment, claims, safety, email, CRM, calendar, browser, OAuth, or workflow-system integration.
  • No provider/model/API calls.
  • No dynamic personalization beyond deterministic content derived from local JSON contracts.

Limitations

  • The generated artifacts are meeting and evaluation aids, not production freight operations guidance.
  • Validation is intentionally conservative but not a legal or compliance review.
  • The fallback mode without pilot-control/pilot-control-tower.json produces a usable proof room, but real buyer meetings should attach richer workflow evidence.
  • The scorecard is fixed to the MVP criteria rather than configurable per buyer.

Suggested next steps

  • Add optional buyer-specific overrides from a local YAML or JSON file.
  • Add a redaction checklist generator for client-provided sanitized samples.
  • Add an export bundle command that copies only proof-room artifacts into a shareable folder.
  • Add configurable scorecard weights once real buyer feedback shows which criteria matter most.
  • Add golden-file tests if this becomes a maintained package.