Turn rough intent into reliable prompts
Paste a prompt or describe what you need. Standard produces a fast optimized draft; Deep adds Agent iteration and independent absolute scoring.
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Start from a professional case
Click to prefillTwo modes, honestly labeled
Standard
A fast first pass. The system aligns on your intent, applies the relevant methodology, and returns an improved prompt with its reasoning.
Clearly labeled no independent score.
Deep
An Agent improvement cycle. The current optimized prompt is scored intrinsically, deficiencies feed the next round, and the run stops on convergence or a clear bound.
Standard reports optimization only. Deep reports its independent score and threshold decision.
Built for people who put prompts to work
Understands before it optimizes
The system aligns on your task, audience, and constraints first; every change traces back to your intent.
Reasoning you can audit
No black-box rewrite. Each edit comes with why it was made and what it should improve.
Evidence over adjectives
Deep mode reports intrinsic quality scores, confidence, and the Agent iteration trail.
round 2 of 3 · scorer=absolute-rubric
Every Deep result carries its trail
Scores, Agent revisions, model versions, and the final quality decision — all traceable through the Deep run.
- cycle
- construct → Agent improve → absolute score → feedback
- scoring
- absolute rubric · model=gpt-5.6-terra
- rounds
- 2 of 3
- decision
- CONVERGED · overall 0.84