See the baseline
Connect compatible model traffic and attribute requests, tokens, cost, latency, routes, and outcomes to the right app and workload.
// AI agent cost optimization
Punk shows where your agents repeat themselves, then tests whether a cheaper path can produce an acceptable result. Nothing is assumed from a benchmark; the evidence comes from your workload.
For teams running recurring, reviewable model traffic. In observe-only mode, your configured provider remains the response source.
// where cost hides
Changing models can lower a rate card. An adaptive runtime looks at the larger execution pattern: repeated answers, stable tool reads, recurring plans, and requests that still require live reasoning.
Connect compatible model traffic and attribute requests, tokens, cost, latency, routes, and outcomes to the right app and workload.
Identify exact and semantic repeats, cacheable reads, stable tool plans, and candidate reusable workflows.
Compare candidates against historical and fresh traffic before a scoped route becomes eligible to serve.
// honest economics
Punk separates what might have been saved in observe-only mode from what an eligible route actually saves after activation.
The category difference: an adaptive runtime connects cost evidence from prior runs to the execution path selected for the next one. It complements provider pricing, gateway controls, and observability.
// good first workload
Structured categories, priority, and routing decisions with a clear reference set.
Consistent internal briefs produced from authorized, read-only source material.
Tool plans that repeat even when the underlying source data must remain fresh.
Start observe-only with compatible model traffic. Keep your current provider as the source of truth while Punk builds a workload-specific baseline.