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Capability

Prompt Optimization Layer

Tune and augment prompts so cheaper models perform like expensive ones.

Summary

Tune prompts so cheaper models match production quality.

The problem

Teams either overpay for frontier models on simple tasks or accept degraded output when routing to cheaper models.

How Devtor solves it

Devtor automatically tunes and augments prompts per model tier — compressing instructions, adding model-specific hints, and optimizing structure so economical models deliver production-quality results.

Benefits

  • Model-aware prompt tuning before each inference
  • Quality uplift on cheap models without manual rewrites
  • Reduced reliance on expensive models for routine work
  • Continuous improvement from past successful prompts

Use cases

  • Boilerplate generation routed to haiku-class models
  • Code review prompts tuned for smaller context windows
  • Documentation tasks with model-specific formatting hints

Ready to orchestrate?

Installation guide and CLI — coming soon.

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