All capabilities
Capability
Prompt Optimization Layer
Tune and augment prompts so cheaper models perform like expensive ones.
Summary
Prompt tuning and augmentation to improve output quality, especially when using cheaper models.
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
Part of the orchestration flow
Ready to orchestrate?
Installation guide and CLI — coming soon.