Agent Cost Audit
A written review of one repo, agent workflow, or recurring task that is wasting tokens or context.
- Top token-waste sources ranked by impact
- Command-output cleanup and rtk usage plan
- AGENTS.md/global-rule edits to apply
AI agent cost audit
Stop paying agents to read noise.
We review one AI-coding workflow and find the output patterns that burn context: uncapped commands, giant logs, repeated status dumps, chatty scripts, weak AGENTS.md rules, and missing token-saving tools.
Command caps
rtk setup
Before/after evidence
Packages
Start with the cost leak that is easiest to prove.
Agent Ops Cleanup
A hands-on pass that installs the controls and patches the worst output sources in one workflow.
- rtk installed and initialized where appropriate
- High-noise commands wrapped with byte caps
- Run report with before/after examples
Team Rollout
For teams running multiple agents, repos, or long-lived automation loops.
- Shared command-output policy
- Repo template and onboarding notes
- Metrics for recurring token-cost checks
What gets checked
The expensive part is usually not the model. It is the workflow around it.
Good agent work depends on small, boring controls: capped output, durable notes, focused logs, clean diffs, and commands that summarize instead of flooding the transcript.
- Commands that can dump thousands of lines into context
- Generated reports, logs, and ledgers that agents reread too often
- Missing repo/global rules for command output and tool choice
- Repeated browser, email, platform, or CI checks with weak summaries
- Long-running loops that never record compact state before continuing
How it works
A practical cleanup, not a generic AI strategy deck.
1. Send the workflow
Repo path, agent instructions, scripts, or logs from one recurring AI-agent task.
2. Get the audit
We identify the highest-cost output patterns and the smallest edits that reduce repeat waste.
3. Apply or book cleanup
Your team applies the notes, or we handle the first implementation pass.
Start the audit
Send the agent workflow that is getting expensive.
Use this when a coding agent, support agent, browser agent, or long-running business loop is burning too much context or producing too much output.
Cut the waste