Token accounting for coding agents
See inside your software factory.
Analyze your org's agent sessions to see where tokens go, how teams work with agents, and what to improve.
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Session spend
Your AI bill this month (and counting)
$122,480.60
this month
VibeCheck shows you where it goes.
Engineering teams at these companies use Maestro AI
Tokens to outcomes
Track tokens to outcomes.
Every four weeks, VibeCheck sends a readout of your agent spend and how much of it landed in high-rework sessions. Month over month, you see whether it’s getting better.
Your 4-week readout
Spend in high-rework sessions12 weeks
Adoption
Understand adoption, team by team.
Follow what engineers delegate, which tools and models they use, and which skills they reach for, week by week. Spot where adoption is taking hold and where your rollout needs support.
| Personteam · primary tool | Est. spend4 weeks · trend | Leading modelshare of spend | Top skilluses |
|---|---|---|---|
| $2,860Estimated spend per week over 12 weeks: $480, $520, $560, $590, $610, $640, $660, $690, $700, $710, $720, $730. | Claude Opus 5.564% of spend | verify-change22 uses | |
| $2,210Estimated spend per week over 12 weeks: $300, $280, $360, $330, $420, $450, $480, $500, $520, $540, $560, $590. | GPT-6 Astra71% of spend | write-tests18 uses | |
| $1,740Estimated spend per week over 12 weeks: $0, $0, $40, $90, $160, $250, $330, $380, $410, $420, $450, $460. | Claude Sonnet 5.558% of spend | triage-bug11 uses | |
| $1,520Estimated spend per week over 12 weeks: $420, $380, $440, $360, $400, $390, $410, $370, $380, $360, $400, $380. | Claude Opus 5.582% of spend | plan-feature9 uses |
For developers
Improve how you work with agents.
Weekly Rewind reviews your agent sessions, spots recurring patterns, and suggests specific changes to your prompts, instructions, and workflows. Every tip links back to examples from your own work.
A tip to try
Name the edge cases in your first prompt.
In 4 of your 9 sessions this week, the first test failed on a case your prompt never mentioned. Those sessions needed 2.5× as many corrections.
Your prompt · Tue, Sep 22
Retry failed card payments before marking the invoice unpaid.
Try
Retry failed card payments before marking the invoice unpaid. Skip retries for hard declines, and never charge a card twice.
Model choices
Match the model to the task.
Map model choices to real tasks: which models engineers reach for, where expensive ones dominate, and where a lighter model is worth testing.
Review
Claude Opus 5.578% of tokensClaude Sonnet 5.58% of tokensGPT-6 Astra5% of tokensGPT-6 Sol4% of tokensGPT-5.6 Sol3% of tokensClaude Haiku 4.52% of tokens
For platform and DevEx teams
Measure every change to your harness.
Your harness is the prompts, skills, and models your agents work with. Change one, then compare corrections, rework, and cost per session before and after to see whether it made agent work better.
Security and compliance
Your data stays yours.
Every session, token, and insight Maestro AI handles is protected by enterprise-grade safeguards and transparent compliance practices.
- Your data never trains AI. A contractual commitment.
- SOC 2 Type II audited. The report is available in our Trust Center.
- Encrypted in transit and at rest. Protection for the data Maestro AI handles.