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A Multi-Model Workflow: Fable 5 for Planning and Review, Codex for Execution

A user describes splitting complex software tasks across models: Fable 5 produces the technical plan, Codex implements it, and Fable 5 reviews the result. The workflow also uses context compaction, prompt caching, and explicit goals to reduce handoffs and manage cost.

Publicado em 04/08/2026, 02:34:28Última atualização 04/08/2026, 02:34:28Publicação editorial

The approach separates planning, implementation, and acceptance. Fable 5 first creates a technical document that can be annotated and handed to another agent. After the plan is approved, the user compacts the active conversation before passing the document to Codex. For especially complex work, an explicit goal is added to reduce repeated continuation prompts.

Once implementation is complete, Fable 5 checks for missing requirements or deviations from the plan. Any feedback is sent back into the existing Codex session so the agent can refine the work without rebuilding its context. The user considers this division of labor a reasonable compromise between reliability and cost.

The specific model names, command behavior, and claimed stability comparisons remain independently unverified. Available material supports planning, subagents, effort tiers, and caching as general practices, but also indicates that advisor combinations are constrained by platform and model configuration. The workflow should therefore be treated as a user report, not an official guarantee.

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