Decisions I have made.
Product manager at OPENLANE, currently shipping AI features inside a $20M ARR subscription suite. The pattern across all of it: the hardest part of an AI product is not the model, it is designing the moment where a user has to decide whether to trust it. These case studies are about that moment, covering what I recommended, what I pushed back on, and what shipped.
Case studies
Designing Human-in-the-Loop for Agentic LLM Workflows
Two patterns I shipped at Delo and the decision logic behind them. Why I routed the user's trust contract through the document, not the model.
From Mixpanel Anomaly to LLM Extraction with HITL
A Mixpanel anomaly pointed at the wrong problem. The right one was in the data we had not looked at yet. How I pivoted the scope before the sprint locked.
From Forecast to Signal
The pricing model was accurate. Dealers were not coming back. How I pushed to convert a depreciation curve into a decision a dealer could actually act on.
Building a Daily Habit
The strategy bet behind ProPower. How I framed an inventory product as the dealer's daily money-at-risk surface.
anthony.brady.f@gmail.com · available for conversations