Daily curation of AI, product, and technology for PMs, POs, and product leaders. In-depth analysis, news radar, and actionable insights — no hype, real data.
Google launched Gemini 4 Hydrogen, a fast model for agent workflows. For product people, the question stops being which model to use and becomes how much each completed task costs.
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The PM Arena is the Produto com IA simulator: you take command of real scenarios — an agent blowing through its budget, a credit copilot stuck at the release gate, an irreversible real-world incident — and watch each choice play out in live telemetry. It is flight training for anyone building products in the AI era.
Evals turn real failures into infrastructure that keeps up with every change to the model, prompt, or flow.
Models, agents, governance, and AI adoption in product.
3 QUESTIONS →T.02Frameworks, case studies, and risks of autonomous agents.
3 QUESTIONS →T.03Frontier model analysis, cost, and benchmarks.
3 QUESTIONS →T.04Scale, cost, and governance of code agents.
3 QUESTIONS →T.05Cost reduction and AI unit economics.
3 QUESTIONS →T.06Risk, compliance, and auditing for AI in production.
3 QUESTIONS →A term coined by Gartner to describe products sold as "AI agents" that are in practice just conditio...
OperationsThe discipline of managing and optimizing the cost of operating language models in production, inclu...
TechnicalA technique to train a smaller model from the outputs of a larger model, preserving capability for a...
TechnicalA technique that combines information retrieval with text generation, allowing LLMs to use external ...