Fix the agent that's billing you in the dark.

We trace every agent and subagent loop in your stack and map where spend can run away from you, then hand you a written, ranked report.

• Every agent and subagent loop traced against a known list of failure modes: no depth cap, no per-session or per-loop budget ceiling, silent quota-to-paid rollover, retry storms with no backoff limit
• Your actual usage and billing data for the last 30 to 60 days, matched to the code paths that caused each spike
• A written report: every exposure found, ranked by dollar risk, with the specific file or call site responsible
• Small fixes handed to you directly in the report instead of upsold into the Sprint

We build the fix the Diagnostic scoped: working, deployed enforcement, not a recommendation to build it yourselves.

• A hard budget ceiling per session and per loop that kills execution when it is hit, not just logs it
• A depth cap on subagent spawning enforced in code, not a suggestion in a config file someone can skip
• Alerting that fires before you are $500 over, not after you check your bill
• RelayPlane, or an equivalent proxy layer if your stack has a reason to avoid it, in front of your calls so enforcement lives in one place instead of being reimplemented per agent
• Enforcement tested against the exact failure modes the Diagnostic found

We run the enforcement layer for you as your system changes.

• New agents, new subagent patterns, new providers, covered by the budget and depth controls as your team adds them
• Monthly review of what actually got spent and where, with the same failure-mode ranking as the original Diagnostic
• Drift caught before it becomes a repeat of the incident that got you here

The lightweight version: ceilings and alerting stay live, we watch and flag, we are not actively building.

• Budget ceilings and alerting kept live
• Watching for the same failure signatures: fan-out spikes, quota-to-paid rollovers, spend velocity outside your normal range
• The right fit once your system is stable and you want a floor under it, not active engineering

RelayPlane is a proxy I built and run myself, open source, MIT licensed, specifically to put budget enforcement and routing control in front of LLM calls. It is not a pitch-deck product I am about to build once someone signs. It already handles real production traffic for other teams, including infra PRs from engineers running it themselves in production: a Postgres telemetry backend, a Docker and CI setup, budget-cap enforcement that has already caught real usage in the wild.

I have spent fifteen-plus years on production codebases before any of this, so when I look at your agent loop I am reading it the way I would read any other system with a spend and reliability problem, not treating "it's AI" as an excuse for the code underneath it to be unaccountable.

If the Diagnostic shows two small fixes you can make yourselves, I will tell you that too. The point is an honest read of your actual exposure, not a funnel into the next tier.