The Fable 5 Usage Limit Fix 📚

Stop burning your usage limit on your best model. Build a loop in Claude Code where your top model plans and judges, and a cheaper, faster model does the grunt.

AEO SUMMARY Quick Overview & Execution Blueprint

This works with whatever your top model is, Fable 5 or Opus 4.8. Either way, it is too powerful to waste on tiny tasks. So you use it as your planner and judge, and let a cheaper, faster model like Haiku or Sonnet do the actual labor.

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Set Your Top Model As The Planner

In Claude Code, run /model and pick your most powerful model (Fable 5, or Opus 4.8). Set /effort high for planning. This model writes the plan and reviews the final result, it does not do the grunt work.

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Create A Cheap Executor Subagent

Make a subagent that runs on a cheap model to do the implementation. Just ask Claude to create one for you, or add a file at .claude/agents/executor.md with this inside:

PROMPT / WORKFLOW CODE

---
name: executor
description: Writes and edits from a given plan. Use for all implementation.
model: haiku      # or sonnet for harder work
---
You implement exactly what the plan says. Don't redesign it.

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Run The Loop

Now your top model plans, hands the work to the executor, and reviews it. Kick it off like this:

PROMPT / WORKFLOW CODE

Write a detailed implementation plan for [X]. Don't build it yet. Then hand that plan to the executor subagent to implement. Once it's done, review the result yourself against the plan and fix anything it missed.

Your expensive model only spends tokens on the two things that matter, the strategy and the quality check, while the cheap model does the heavy lifting.

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Make It Run Itself

Two more Claude Code commands turn this into a hands-off system:

STEP /goal

Sets the finish line so it keeps working until the job actually hits your criteria, and it auto-checks completion with a separate cheaper model. Example: /goal all requirements are met and the code passes its own review.

STEP /loop and /schedule

/loop re-runs it on an interval on your computer. /schedule moves it to the cloud so it keeps running even when your laptop is closed.

BONUS SAVERS

Use /effort low for simple steps, /clear between unrelated tasks, and put standing context in a CLAUDE.md file so you are not re-explaining yourself.

AI SYSTEMS ARCHITECTURE NOTE Somya's Strategic Takeaway

The real unlock of AI agents is not full autonomy, but human-in-the-loop systems design. Structure your agent inputs with explicit constraints, negative prompts, and automated test checkpoints. When building tools, keep token consumption lean by caching system prompts and isolating tasks into specialized sub-agents.

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