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Multi-Model Orchestration Workflow Prompt

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FHILYπŸ‘‘
Contributed byFHILYπŸ‘‘XSource

Aug 13, 2026

Multi-Model Orchestration Workflow Prompt A workflow prompt for orchestrating multiple AI models (Fable, Opus, Sonnet, Codex) with specific roles and delegation instructions to optimize efficiency and reasoning.

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Use Fable 5 as orchestrator and Opus + Codex to execute (to save fable usage): Fable 5 (max reasoning) = orchestrator Opus = deep reasoning subagent Sonnet = mechanical work subagent Codex = peer Sr. engineer, different perspective Setup: 1. Set Fable 5 as your main model. In Claude Code: /model β†’ Fable 5 β†’ reasoning /effort to max 2. Create 2 subagents with /agents In Claude Code: - deep-reasoner β†’ pinned to opus "Use for reasoning-heavy phases, architecture, debugging complex issues, algorithm design. Think thoroughly, return a concise conclusion the orchestrator can act on." - fast-worker β†’ pinned to sonnet "Use for mechanical tasks, boilerplate, tests, formatting, simple edits. Execute efficiently." 3. Add OpenAI's official Codex plugin (install codex cli in your computer first). In Claude Code type: /plugin marketplace add openai/codex-cc-plugin /plugin install codex@openai-codex /codex:setup 4. Drop this in your project folder: ## Orchestration workflow You (Fable) are the orchestrator. Plan, decompose, synthesize. Reasoning-heavy phases β†’ deep-reasoner Mechanical work β†’ fast-worker Codex (/codex:rescue --background) is a cracked engineer on par with deep-reasoner, from a different perspective. Treat as a peer, not a reviewer. High-stakes decisions: task Opus + Codex on the same problem in parallel, synthesize the best of both, without showing either the other's answer. Keep your own context lean. 5. Then prompt Fable like a tech lead: "Goal: [what you want] Context: [files, constraints] You're the lead. Delegate reasoning to deep-reasoner, grunt work to fast-worker, fresh-perspective problems to Codex. Show me your plan first, then execute."

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References

Categories:productivity| twitter| ai-orchestration| multi-model

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