Daily briefings on AI for business — costs, reliability, adoption, and delivery.
Anthropic's latest hourly-sampled data reveals when knowledge workers actually use AI, what they produce, and how they perceive its impact. The findings challenge assumptions about AI as a universal productivity multiplier.
Read more →Cursor's CFO council reveals the gap between AI pilot budgets and production reality. The conversation has shifted from 'what can it do' to 'what does it cost to keep running.'
Read more →New research shows most high scores on SWE-bench come from models retrieving known fixes, not writing code. If you're buying AI coding tools based on benchmark rankings, you're overpaying for inflated numbers.
Read more →Cursor added auto-review to govern agent autonomy. Useful for developers, but business leaders should ask: who owns the outcome when the agent ships code to production?
Read more →Vercel's new 'Agent Runs' feature promises better insight into how AI agents perform in production, helping teams debug faster and manage LLM costs more effectively. Here's what it means for your bottom line.
Read more →New gateway-level routing rules promise to give businesses more control over their AI model deployments, offering a path to better cost management and system resilience without deep code changes.
Read more →Vercel's new security dashboard highlights a growing problem: the silent accumulation of small misconfigurations that pose significant production risks. For your business, this means risk and cost.
Read more →OpenAI's latest pricing update lowers inference costs across several models. For teams running production AI, the unit economics just got better — but only if you're measuring them.
Read more →Vercel's AI SDK 5 adds structured output, tool calling improvements, and tighter integration with their deployment platform. For teams building AI-native products, the prototype-to-production gap just narrowed.
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