See where the money goes
Understand request volume, model cost, response time, and which workloads account for the most spend.
// completed work should compound
Make every successful agent run improve the next one.
Punk turns successful reasoning, research steps, tool plans, decisions, and outputs into reusable know-how. You spend less, responses arrive faster, and new work still goes to your original model.
Punk measures your workload before recommending reuse. Savings depend on how much repeatable work your agents actually have.
// the cost problem
A cheaper model does not make your agent learn.
A cheaper model may lower the price of a request. Punk asks a more useful question: did this request need a model call at all?
Identify repetition
Discover recurring questions, stable classifications, repeated summaries, and processes your agents perform over and over.
Reuse only what holds up
Compare a proposed shortcut with accepted results before allowing it to answer future requests.
// honest savings
See the opportunity before changing live behavior.
Punk can observe your workload while your current model continues answering every request. That gives you a baseline and a forecast without pretending projected savings have already been earned.
Before reuse
- How much the workload currently costs
- How often similar work appears
- Which results can be checked reliably
- What Punk estimates eligible reuse could save
After reuse
- How often proven work actually served
- How much model spend was avoided
- How quickly responses returned
- When Punk chose the original model instead
Forecasts and actual savings stay separate. Punk does not claim a universal percentage or assume every workload should be optimized.
// good first workloads
Start where repetition is easy to recognize.
Support triage
Recurring categories, priorities, and team assignments with clear examples of an acceptable answer.
Routine summaries
Consistent internal briefs created from approved source material and reviewed against a known format.
Repeated research
Recurring processes where the steps stay similar even when the underlying information must remain fresh.
Find the expensive repetition first.
Bring one real workload. Punk will show what repeats, what could be reused, and what should stay with the model.