FIELD NOTE / INSTAGRAM
Put four numbers beside every AI agent fleet.
The complete written thought and the evidence behind it. The video edition will follow its public release.
The written argument is here.
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Put four numbers beside every AI agent fleet.
Video caption
Put four numbers beside every AI agent fleet.
A spike in completions may flood the rescue queue.
Risk and reversibility change what a pass means.
Do this because one average hides the failure tail.
#EricFieldNotes
Full written post / accessibility read
I want a business dashboard that refuses to celebrate agent activity by itself. Show accepted outcomes, human exception time, later reversals and customer impact for the same cohort. Without those four, speed can hide work transferred downstream.
An illustrative team doubles automated form submissions. The exception team spends longer reconciling wrong accounts and duplicate notifications. The completion chart rises while net service capacity falls. The dashboard needs both sides of that ledger.
Separate visual QA from permission changes and customer messaging. For each, define independent acceptance, human rescue minutes, severity of reversal and the baseline human workflow. Compare like with like across a pinned agent and harness version.
If a bounded category improves accepted work without growing exception cost, expand that category. Keep uncertain tasks in an assisted lane. Autonomy is an operating envelope earned by evidence, not a badge attached to the model.
#EricFieldNotes
Four-beat scene transcript
1. Put four numbers beside every AI agent fleet.
I want a business dashboard that refuses to celebrate agent activity by itself. Show accepted outcomes, human exception time, later reversals and customer impact for the same cohort. Without those four, speed can hide work transferred downstream.
Visual: Accepted tasks, exception hours, reversals and customer impact.
2. One green chart can mask red operations.
An illustrative team doubles automated form submissions. The exception team spends longer reconciling wrong accounts and duplicate notifications. The completion chart rises while net service capacity falls. The dashboard needs both sides of that ledger.
Visual: A spike in completions may flood the rescue queue.
3. Slice the numbers by workflow.
Separate visual QA from permission changes and customer messaging. For each, define independent acceptance, human rescue minutes, severity of reversal and the baseline human workflow. Compare like with like across a pinned agent and harness version.
Visual: Risk and reversibility change what a pass means.
4. Promote only the proven slice.
If a bounded category improves accepted work without growing exception cost, expand that category. Keep uncertain tasks in an assisted lane. Autonomy is an operating envelope earned by evidence, not a badge attached to the model.
Visual: Do this because one average hides the failure tail.
Research and claim limits
- OpenAI Computer use API guide (S159)
- OSWorld 2.1 official repository (S162)
- NIST AI RMF 1.0 (S171)
The examples identified as illustrative or simulated are design probes, not reported incidents. Vendor specifications do not establish workload performance.