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.
As new models arrive almost every week, choosing the right model for each task means balancing intelligence, inference cost per interaction and projected volume.
READ FULL EDITION →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 ...
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