At 90 Agents, the Bottleneck Stopped Being Intelligence — It Became Money
Builders scaling agent fleets are discovering the wall isn't model capability but retries, idle work, and cost-per-accepted-outcome, and Gartner now predicts 40% of agentic projects will be canceled by 2027.
The most important number in AI this week may not be a benchmark score but a dollar figure. @rubengarciaes described running a fleet of 90 agents and finding that the bottleneck 'wasn't model intelligence' — it was 'retries, tool calls, idle work, coordination overhead, and cost per accepted outcome.' That last phrase is the one worth internalizing. In production, what matters is not whether an agent can complete a task but how many failed attempts, redundant calls, and coordination round-trips it burns before producing an output a human will actually accept.
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