Blog RSS feed
2025
-
Why responsible AI is a PM responsibility: where bias enters the stack, how to audit and govern it, and what guardrails, transparency, and risk management look like in practice.
-
How AI reshapes UX: progressive disclosure, expectation-setting, failure design, trust calibration, human-in-the-loop, and why making confidence legible is the core product skill.
-
Pricing shapes behavior, perceived value, and what the product must become, yet most product teams abdicate it to finance or sales and live with the consequences for years.
-
A model's own /models endpoint is an advertisement, not a contract. Here's the six checks, capability, catalog truth, cost, lock-in, evaluation and kill criteria, that decide whether a vendor bet survives contact with real traffic.
-
A model that scores well offline can still ship a product users hate. Here's the delivery playbook, evals, rollout, prompts as code, build versus buy, that keeps an AI feature honest end to end.