AI Research Engineer Open-Sources His Entire Workflow and Prompts

**TL;DR:** AI Research Engineer Open-Sources His Entire Workflow and Prompts

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Fable 5 came and went. And because it was taken away so quickly, developers wanted it back even more. Scarcity has a way of making things feel more valuable. Reviews during its short tenure described a model that was very capable and great at churning on long-running, ambiguous tasks. But it was too expensive. The model was also intelligent enough that, on large work and overhauls, it tended to overthink. Most likely because of its size.

5, except Fable 5 would run for 10x as long: a larger model, more overthinking, and more time. The other issue was fallback behavior. If you hit a case where the model needed to call the fallback Opus model, you would not necessarily know it happened, and you would be billed at the higher charge. Nonetheless, it was a noticeable change compared to existing models. It was good at churning on a specific, goal-oriented problem.

For example, optimizing a slow path by repeatedly profiling, tracing call sites, tightening hot loops, and validating the regression budget. For architecture design, it was still not remarkable. So it was good at that goal-o

Source: Dev.to

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Last updated: June 16, 2026.

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