Divide AI Labor Instead of Using One Model for All
PrajwalTomar_ · x · 2026-07-13
The core argument is that the most powerful model shouldn't handle thinking, building, and trivial execution all at once; instead, tasks should be divided into an "AI team."
The proposed division of labor:
- Fable 5 as the manager: handles planning, finding edge cases, and reviewing diffs.
- GPT 5.6 as the worker: handles the bulk of coding at about half the cost of Fable.
- Luna as the intern: takes care of the smallest, cheapest tasks.
The author believes this approach significantly reduces costs while maintaining output, stressing that the real question is no longer "who is smarter," but "why use the most expensive model for the most expensive tasks."
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