Three requirements for in-product AI agents

From my recent trials building, launching, and tightening AI agents, the same 3 gaps show up again and again. The model is “fine,” but outputs fail rubrics, the UI violates expectations people picked up from ChatGPT and coding agents, or debugging stops at prompts and tool calls while the real question is what changed in the product for that user.An effective in-product AI agent needs three things:AccuracyUsabilityObservabilityI’ll go into a little bit of those three here. I wrote this for product teams building AI agents in their software products.You need 3 minutes to read this.Subscribe nowMeasurable accuracy, flexibility for usability, and observability.I first published this on www.harshal-patil.com on Apr 22, 2026.Related:What AI Observability Needs to CaptureDay One User Expectations From AI Copilots in 2026AI Product Management Is SaaS PM Plus Three Extra Jobs1 - Accuracy: match the task bar users already holdUsers turn to the AI agent to do a task that otherwise they would…