Cassette.mp4

What Cassette.mp4 Is

Cassette.mp4 is a portable, self-describing context envelope for AI assistants. It packages transcripts, summaries, and instructions into a single file that any assistant can consume on drop. The format ensures repeatability, low drift, and portability by shrinking conversations or media into a predictable JSON schema that always plays back the same way.

• Condenses: Long transcripts and videos can be semantically chunked and summarized into compact payloads.
• Faithful: Using an 80/20 approach, the small cassette file can reproduce the original content close enough for accurate reasoning.
• Portable: Travels cleanly through email, chat, or uploads without corruption.
• Universal: Encapsulated in an MP4 container for compatibility across platforms.

Some mobile environments still treat novel hybrid payloads inconsistently; support will improve as adoption grows.

Why Cassette.mp4 Works

Most AI drift comes from feeding models raw, oversized transcripts or data. Cassette.mp4 reduces this risk by:

• Semantic chunking — slices transcripts or videos into meaning-rich segments.
• Summarization — creates a compressed but faithful retelling.
• JSON schema — enforces a predictable order and layout, so assistants always know how to read it.

This turns hours of dialogue or gigabytes of video into a slim, replayable context file.

File Anatomy

A typical project bundle includes:

• <ClientName>.mp4 — primary drag-and-drop cassette file
• cassette.json — same payload in JSON for editing/auditing
• schema.json / schema.min.json — optional JSON-LD for SEO
• script_tag.txt — ready-to-paste <script type="application/ld+json">…</script>
• README.txt — one-minute install + validation pointers

Minimum Payload

This illustrative skeleton shows the shape of a cassette without exposing orchestration logic. Field names are representative and may vary by project.

{
  "cassette_version": "1.0.0",
  "name": "...",
  "description": "...",
  "envelope": {
    "meta": { "...": "..." },
    "modules": [
      { "type": "summary", "ref": "kb://..." },
      { "type": "schema",  "ref": "schema://..." },
      { "type": "instructions", "ref": "prompt://..." }
    ]
  },
  "recipient": { "...": "..." },
  "signals": {
    "on_upload": "post:onboarding",
    "read_order": ["onboarding","context","install","faq"]
  },
  "content": {
    "placeholders": true,
    "notes": "Exact field names and execution details are provided to clients during implementation."
  }
}

Guided read order: onboarding → context payload → install steps → FAQ → appendix.

Memory Model (High-Level)

Cassette.mp4 supports a simple memory taxonomy to improve retrieval and repeatability:

• Episodic — references to past interactions/actions contained in the cassette
• Semantic — stable knowledge extracted or linked (e.g., summaries, schemas)
• Procedural — prompts, tools, and guardrails that shape assistant behavior
• Working — per-task scratchpad for what matters “right now”

These are references to existing or linked content—not duplicated data.

Example Uses

• Transcription archives: Meeting recordings distilled into portable cassettes.
• Video condensation: Long-form video compressed into semantic summaries and structured JSON (80/20 fidelity).
• Business onboarding: Schema delivery for client websites (e.g., JW Photographics).
• Knowledge bundles: Playlists, tutorials, or thematic libraries packaged for consistent assistant recall.

The business case is just one example. The broader innovation is condensed, drift-resistant context transfer.

Roadmap

• Optional encryption and signed manifests
• Multi-module bundles (schema + images + billing)
• Web demo player that renders onboarding UI directly from the cassette

Contact

Olsen Automation — Cassette.mp4 format inquiries

Developer Notes (Optional)

This page intentionally abstracts packaging and extraction specifics to preserve IP while communicating the concept and benefits. For pilots or custom integrations, contact Olsen Automation.