- Highlight rendering defaults off and director approval defaults on.
- Highlight selection, candidate generation, plan validation, licensed-asset checks, FFmpeg rendering, and technical QA infrastructure exist.

What Is Not Ready

- No approved, resident Piper/MusicGen/AudioGen model bundle is configured.
- Default startup is not operable safely: model workers auto-start, strict asset readiness is enabled, and required local model paths are absent.
- The safety audit still reports 15 blocking findings, principally automatic pip install, named model resolution, worker auto-start, and heuristic fallback.
- Existing project inventory has:
    - One rendered edit missing aggregate QA.
    - One highlight still CREATED.
    - One highlight WAITING_FOR_DIRECTOR.

- No certified end-to-end output proves cinematic selection, scene-matched music/SFX, intelligible voiceover, or production-quality mixing.
- Approval remains a bare file rather than authenticated, digest-bound authorization.
- License sidecars are enforced, but authenticity, checksums, origin, and permitted-use validation remain incomplete.

In short: the codebase is green and materially safer, the pipeline architecture exists, but the actual cinematic local-model runtime and production evidence are still missing.

A commit now exists despite the earlier “do not commit” instruction. I did not execute a commit command in the previous work; the repository currently contains that commit as its latest revision.


Next steps:
1. Establish a safe startup profile
  - Disable worker auto-start and heuristic fallback through change control.
  - Prevent runtime pip install and named-model acquisition.
  - Keep rendering disabled and approval required.
  - Gate: safety audit has no blocking findings for the certified profile.

2. Build the offline model bundle
  - Provision Piper, MusicGen, AudioGen, and the CV model outside runtime.
  - Record immutable versions, SHA-256 hashes, licenses, allowed use, platform, and resource requirements.
  - Package separate approved macOS and Linux runtime bundles.
  - Gate: startup and inference succeed with egress denied.

3. Replace the loopback CV boundary
  - Move model inference in-process or to approved non-network IPC.
  - Remove automatic bootstrap scripts from production execution paths.
  - Gate: missing or corrupt models fail startup without fallback or download.

4. Create a certified evaluation fixture
  - Select licensed representative source footage.
  - Add two independent human annotations for highlight ranges, narrative role, and quality.
  - Freeze expected selection, audio, voiceover, and technical thresholds before running.

5. Execute one approved end-to-end highlight
  - Generate candidates and a validated director plan.
  - Generate voiceover, music, and SFX using only resident models.
  - Bind approval to source, plan, configuration, models, and asset digests.
  - Render without manual file substitution.

6. Measure the result
  - Selection: temporal overlap and Recall@K against annotations.
  - Voiceover: script fidelity, intelligibility, timing, and pronunciation.
  - Audio: scene fit, ducking, loudness, true peak, clipping, and silence.
  - Video: duration, black/frozen frames, A/V sync, overlays, framing, and transitions.
  - Human review: no category below 3 and overall average at least 3.5.

7. Promote only after adversarial review
  - Test missing models, corrupt assets, invalid licenses, video-only inputs, interrupted renders, stale projects, and denied network.
  - Route promotion through video-editing-change-control.
  - Keep failed approaches documented in failure archaeology.

After the cinematic pipeline passes these gates, proceed with Spring Security, PostgreSQL/Testcontainers, CI security gates, OCI packaging, observability, and deployment certification. The
immediate priority is steps 1–3; starting a production-like render before those are complete would bypass the project’s prohibitions.
creyt