Block the AI-cost workstream on complete per-individual measurement before any optimization - so each persons correct plan can be determined
Situation
In the 7/23 Steve Wallace 1:1 Steve reported several threads coming out of Mondays AI meeting: efficiency coaching for heavy users, model-switching guidance, and usage reporting to department heads. Peter cut across all of it and set a sequencing requirement - first get a dashboard that shows every individual in the company, including himself. His evidence was his own absence from it: he shows as zero on every cost dashboard despite Claude running 8 to 10 hours a day, with CIQ apparently paying around 200 dollars a month for him. He rejected the manager-level rollup as a starting point and rejected pushing justification down to department heads. All of the costs, not just some of them.
Reasoning
The question the instrumentation has to answer is how do we measure so we know what plan each person should be on - including the high-spend engineer. Peter is not starting from a conclusion about which plan is right; complete per-person measurement is what makes per-person plan assignment decidable at all. Every downstream action Steve described requires knowing who the heavy users actually are, and with Peter himself missing entirely the data is known-incomplete, so any optimization would target whoever happens to be visible - worse than doing nothing because it would look like management. He rejected delegating justification to department heads not because delegation is wrong but because a judgment call cannot be handed to managers working from the same broken data. Using himself as the proof case does double duty: it is the cleanest demonstration that the data is wrong, since he knows his own usage, and it pre-empts the objection that this is executives auditing engineers.
Additional Context
Corrected during review - the initial hypothesis narrowed the intent to migrating one engineer onto Peters plan. Steve reported AI spend at 60 to 80 thousand a month; Ryan reportedly burned 7 thousand using fast mode; all-you-can-eat and per-token plans coexist. Neither Peter nor Steve can get a clear read on the billing - Steve noted he cannot even get Claude to explain Anthropics billing. Steve confirmed complete cost visibility was already the first step out of the AI meeting, so this is partly Peter reinforcing an existing plan and partly him refusing the shortcuts layered on top of it.
Observed Evidence
Direct transcript. Peter used the phrase strong recommendation for a first step, repeated the completeness requirement twice, and supplied his own missing data as the demonstration.
Matching Patterns
Confidence Breakdown
Reasoning Depth Analysis
People Involved
Source
reflection
AI Confidence
81%
Related Context
fathom
If you can show me what each of my people is spending, yes. Let us start with that. Let us get a dashboard up that shows what individuals in the company are spending. And I know we have tried to do that before, but things like, I am not on it. And I know I am spending tokens. / So my strong recommendation for a first step would be get a dashboard that actually shows everybody. / All of the costs, not just some of them.
slack
Greg Kurtzer: Also, our AI bill might be a million dollars by end of year
Outcome
Still incomplete a month on - every single time I have asked for an understanding of spend, I have gotten a dashboard that shows some people and not others. Per-user notification being wired, comprehensive view still owed.
Rating: 3/5
Decision ID: 3af1550d-bada-417f-9c12-30ad9001b598