A task-level cost baseline
Inference, tool and infrastructure costs attributed to representative work.
Agent Cost Engineering
Your agent works. The economics don’t.
Understand and improve the cost of a successfully completed task.
How it fits together
- Task costs
- Tested changes
- Cost + quality
What changes.
We establish cost per successful task, find where money is going and test targeted changes while holding the agreed quality requirements constant.
Yours to put to work.
- Scope and acceptance criteria agreed together.
Tested improvements
Changes to context, model selection, caching, prompts or execution where evidence supports them.
Ongoing cost controls
Budgets, reporting and a repeatable cost-versus-quality evaluation.
See an example engagement
An example scope, adapted to your environment.
- The starting point: A useful agent repeatedly reloads large documents and retries the same task.
- The work: Trace the cost, reduce unnecessary work and compare results on the same evaluation set.
- The handoff: A measured cost baseline, implemented changes and quality comparison.
How we evaluate the result
- Cost per successful task before and after changes.
- Completion quality and latency alongside cost.
- Retry, context and tool-call costs by workflow.
A useful place to start
Let’s work through your specific problem.
Start with Agent Cost Engineering, scoped to your environment.