Run the tuner.

Describe one workflow and its operating conditions. RPCS-1 will flag likely quality risks, recommend a runtime posture, and show the implementation settings behind it.

69% → 96% bare-output compliance across six frontier models when prompts were recomposed by the rpcs1 directive bundle (n=192 paired prompts, p<0.00001, registered test — criteria frozen before data). See the full result, including what failed →

Task

What does the agent do?required

Be specific — more detail improves confidence rating.

Domainoptional

Environment

How often does the environment change?

How predictable are those changes?

What are the stakes if the agent makes an error?

How far back does relevant context reach?

Should the agent commit quickly or deliberate carefully?

Platform

Target LLM platform

⟳

Complete the assessment to see the diagnosis and recommendations.

Results include likely failure mode, plain-English reasoning, receiver profile, and platform-specific implementation settings.

Web tuner: 10 recommendations per hour. Python SDK: 5 free calls per day. See pricing →