1/ Hook — 3 things founders should learn from VentureBeat’s “agent evaluation gap”: half of enterprises shipped an agent that passed internal evals and then failed customers; only 5% fully trust automated evals; 66% are still moving to zero-human deploys. Pay attention.
1) Here’s what everyone missed: the real risk isn’t model quality — it’s the context feeding the model. 57% of enterprises saw agents give confident, wrong answers because business context was missing or inconsistent. For rental platforms that’s mispriced listings and broken
5) Revenue & GTM impact: Don’t announce “agent-priced” guarantees until your semantic layer is in prod. A/B test price automation on low-risk segments (new listings under threshold), and train brokers/CS reps to surface uncertainty phrasing in agent replies.
1/6 Unpopular opinion: OpenAI’s Codex Micro isn't a pivot to consumer hardware — it’s a reminder that the missing product in AI is a serious operator control plane. The square button pad (Codex Micro, made with Work Louder, limited-run) is about controlling agents, not selling
6/6 Short experiment: prototype a “control surface” (hotkeys, webhook kill-switch, UI logs) for one agent workflow. Measure MTTR, false positives, and repurchase intent. Need reading on securing agent apps and engineering delivery patterns? Start here: