Video summary

Fable 5 Dies in 24 Hours... Do these 7 Things RIGHT NOW

Main summary

Key takeaways

Technology

Tech/Product summary (Fable 5 release + what to do with it)

  • Anthropic re-released a flagship model called “Fable 5” (described as “the most powerful AI model ever made”).
  • Availability & pricing window: Fable 5 is included in the viewer’s Cloud plan temporarily until July 7th. After that date, it’s said to cost about double their other top model, Opus, on a per-use basis.
  • Positioning vs Opus: Fable 5 is described as sitting “just above Opus” and being better at hard, high-stakes problems—not for casual writing (e.g., tweets/emails).

Guided 7 actions / use-cases highlighted

  1. One-shot tool building from a clear spec (builds real working software)

    • Concept: Write a spec for a “free tool” and have Fable 5 generate the entire application in one output.
    • Demo style: The speaker described generating code in one file, with no libraries “right now.”
    • Example tool: An “escape velocity engine” that:
      • Calculates months until you can quit based on income/expenses/side income
      • Runs a quiz to recommend a suitable AI side hustle
      • Estimates how much sooner you could reach the goal

  2. Delegate an entire research project using multi-agent “swarm” behavior

    • Claim: Fable 5 can spawn multiple smaller agents in parallel to explore different angles (e.g., listings, comps, distress signals, cap rates).
    • Demo: Research commercial + multifamily investment properties in Melbourne and produce a clean shortlist after the agents “argue” to eliminate weaker options.
    • Workflow angle: The speaker emphasizes you can leave it running (e.g., during a soccer game) while it completes the work.

  3. Long-context analysis: “hold a million tokens at once”

    • Claim: It can ingest entire business materials (not just summaries—full docs/numbers/plans).
    • Example prompts:
      • “Where am I losing money?”
      • “Single highest leverage moment I can make this month?”
    • Why it matters (per speaker): Typical models are said to “forget” early content; Fable 5 purportedly reads the full set for a strategy-consultant-style diagnosis.

  4. Multimodal extraction + automation from messy images

    • Concept: Feed blurry screenshots/photos of documents and ask for analysis.
    • Claim: It can read images, extract numbers, infer spreadsheet logic, and generate the narrative the numbers tell.
    • Goal: Reduce/eliminate manual data entry from screenshots.

  5. Run long tasks autonomously (minutes/hours)

    • Claim: Unlike chat-only assistants that require step-by-step supervision, Fable 5 can run for minutes/hours to completion.
    • Demo prompt example: “Make it GTA 6 and make no mistakes.”
      • The speaker clarifies this is not literal GTA 6, but they claim a small working game was produced after walking away.

  6. Cost/strategy guidance: use Fable 5 only for the hardest 5%

    • Key advice: After July 7th, Fable is expensive (said to be ~double Opus).
    • Suggested rule:
      • Use cheaper models for ~95% of the work
      • Reserve Fable for the hard remainder (~5%)
    • Example workflow:
      • Plan with Opus
      • Use Fable for execution (deep analysis, one-shot builds, high-stakes strategy calls)

  7. Quality comparison test (Opus vs Fable 5) using same prompt/image

    • Method: Run the same prompt and the same reference design image on Opus first, then Fable 5.
    • Reported result: Opus produced a rough draft, while Fable 5 matched the design more closely.
    • Takeaway: The speaker frames the later cost as paying for this gap in quality.

Product/usage guidance emphasized

  • Use during the free/included period because after July 7th the model becomes significantly more costly.
  • Best-fit tasks:
    • One-shot tool creation
    • Autonomous long-running work
    • High-stakes analysis
    • Multimodal extraction from images
    • Deep research with agent swarms
  • Avoid: Using it for low-effort tasks where cheaper models suffice (e.g., composing a caption/email).

Main speakers / sources

  • Primary speaker: Trey Cooper (aeronautics/aerospace engineer; creator of “Lux Capital AI” / “Stay Starving”), speaking directly on the video.
  • Source/technology referenced: Anthropic (Fable 5 and Opus models).

Original video