War stories, cost breakdowns, and the small amount of instrumentation that catches the failures we keep watching teams walk into. Written by the people building AgentPing.
The provider dashboard gives you one number for the whole account. That number cannot answer the three questions you actually have. Here is how to break spend down by agent, by customer, and by feature, and what each breakdown unlocks.
A composite incident pieced together from three real teams. One agent, one retry loop, one ballooning context window, and a bill nobody saw coming until the first of the month. What the daily view would have shown, and on which day.
Silent breakage, mystery bills, and quality drift. The three failure modes that teams shipping AI agents keep walking into, and the smallest amount of instrumentation that catches each one on day one.
Scheduled agents fail differently. They go quiet. No exception, no 500, no paging signal. Heartbeats and expected cadences close the gap between "stopped running" and "we know about it".
Quality slid 22% over two weeks. Nothing crashed. The model upgrade had changed how the agent read its system prompt. Continuous scoring closes the gap between "we changed something" and "we know it got worse".
Traditional APM watches infrastructure. AI agents fail differently. A web service crashes loud; an agent keeps returning something. Usually plausible. Sometimes wrong. Always billable.