Session Note / Continuity

Session Note 029

Created 2026-06-01 · 15:26 EDT Covering the YouTube pipeline proof, teach-one runbook, and refresh handoff Theme: YouTube pipeline proof, teach-one runbook, and refresh handoff

This note catches the Workshop up after Session Note 028. It covers the June 1 YouTube Shorts work: a fresh storyboard artifact, a successful end-to-end pipeline test from Christopher's shared folder to a public YouTube Short, and the creation of a teach-one runbook meant to survive OpenClaw's next amnesia reset.

Today's behavior change: do not let a successful media workflow remain trapped in chat. Turn it into a reusable operating artifact while the execution trace is still warm.

1. The First Short Was Reworked Into A Better V2 Artifact

Christopher corrected the earlier Shorts workflow: the local ffmpeg assembly pattern was right, but the visual material should not be recycled. The next pass needed fresh scene-specific images, then a local render using Ken Burns motion, captions, soft fades, and a real MP4 at the top of the artifact.

OpenClaw created and pushed a new artifact:

That artifact used five fresh generated scene images and a 20-second vertical MP4. It included the safe-zone overlay, retention timeline, text-beat timeline, silent-mode preview, preflight checklist, optional voiceover, and JSON export. This corrected the earlier fallback video by making the still-image source material new instead of reused.

2. The Image-Generation Interruption Pattern Was Named

The work was interrupted more than once during image generation. The lesson was not that the task was failing conceptually. The fragile part was the long image-generation stage inside Telegram/OpenClaw routing, where a turn can resume before the whole pipeline finishes.

The practical recovery method became:

  1. check disk state first;
  2. count which scene images actually landed;
  3. generate only the missing scenes;
  4. move into deterministic local work once all stills exist;
  5. do not claim completion until the final video, verification, upload or artifact, and report are real.

That staged method carried directly into the later YouTube upload run.

3. Christopher Supplied The YouTube Pipeline Folder

Christopher then created a local shared folder:

  • /mnt/shared/MyFiles/Downloads/share/youtube_pipeline

It contained:

  • Introduction to OpenClaw AI Persona.webm
  • APP_reference_image.tsx
  • APP_multiple_image.tsx
  • APP_storyboard_movie.tsx
  • APP_text_overlay.tsx

The WebM example established the target output style: vertical video, OpenClaw as the character, cinematic still-image scenes, baked captions, motion, and an uploadable video file.

The TSX files established the production logic:

  • use a reference image to preserve character/style continuity;
  • generate multiple fresh image variations;
  • arrange images as timed scenes;
  • apply per-scene motion such as zoom and pan;
  • add readable text overlays;
  • render the result to a vertical WebM/MP4-style movie.

4. OpenClaw Produced A Fresh Short From That Pattern

OpenClaw used the pipeline folder as the model and created a new five-scene Short around the idea of the pipeline itself waking up.

The final captions were:

  1. First, feed the reference.
  2. Then make the variations.
  3. Arrange the stills into time.
  4. Bake in motion and captions.
  5. Upload. Watch. Learn.

The local render was:

  • tmp/youtube-pipeline-2026-06-01/openclaw-pipeline-wakes-short.mp4
  • 720x1280 vertical MP4
  • 20.000 seconds
  • 30 fps
  • five fresh generated stills
  • baked captions
  • motion and soft transitions

The final video was uploaded to YouTube as:

  • Title: OpenClaw Pipeline Wakes #Shorts
  • URL: https://youtu.be/BoAXzFXtDnY
  • Video ID: BoAXzFXtDnY
  • YouTube processing: succeeded
  • YouTube privacy: public
  • YouTube duration reported: PT21S
  • Definition: hd

OpenClaw also logged the upload privately in memory/youtube-daily-shorts-log.md.

5. The Teach-One Runbook Was Created

Christopher recognized the moment as a "see one, do one, teach one" learning loop. The next request was to create a document that future OpenClaw could use after a chat refresh to repeat the whole process from scratch.

OpenClaw created and pushed:

  • YouTube Shorts Pipeline Runbook
  • Markdown source: content/projects/youtube-shorts-pipeline-runbook-2026-06-01.md
  • Commit: 0bc69be Add YouTube Shorts pipeline runbook

The runbook records:

  • the exact source folder path and expected WebM/TSX files;
  • what each TSX file teaches;
  • the successful upload evidence;
  • the five-scene planning template;
  • the fresh-image prompt pattern;
  • scratch folder convention;
  • ASS caption pattern;
  • reusable ffmpeg render command;
  • local verification and contact-sheet commands;
  • YouTube upload protocol;
  • metadata and processing verification;
  • private logging format;
  • interruption recovery rules.

The runbook is now linked from the Projects page and the YouTube Shorts Signal Lane page. The Projects page also has a direct current-focus link to make the access point more obvious after a refresh.

6. Current Public Access Points

The most important public pages after this session are:

The live YouTube proof is:

7. Refresh Handoff

If Christopher refreshes the chat and asks future OpenClaw to continue the YouTube Shorts work, start here:

  1. Read the YouTube Shorts Pipeline Runbook.
  2. Inspect the current source folder or any new folder Christopher provides.
  3. Generate fresh image scenes.
  4. Assemble the MP4 locally with ffmpeg.
  5. Verify with ffprobe and a contact sheet.
  6. Upload only when Christopher asks or approves.
  7. Verify YouTube processing.
  8. Log the result privately and report the URL.

At the time of this note, the worktree was clean before the note/link cleanup, the YouTube pipeline had a successful public proof, and the next useful move is not more infrastructure. The next useful move is another small video loop using the runbook.

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