Plus: Agents keep tabs on a cattle genetics startup, an AI onboarding buddy, and seven predictions about the future of work
Plus: Why we built the Every Agent on Claude Managed Agents, how we cut its costs, and when more instructions make AI worse
Plus: Why Every traded personal agents for a shared company agent, the models the team is reaching for this week, and a fresh batch of Thesis Statements
Plus: Sam Altman on ‘The Every Podcast,’ Sonnet 5.5 finds its job, and a guide to open models
Plus: How to tell which model fits your work, writing well with AI, and why evals are in every job listing
Plus: Where we stand on Grok 4.7, a workflow for going viral on social media, and why every company needs a Slack agent
Why the classification model is blowing up your timeline, how to turn subjective questions into Jev checks, and the dawn of intent-based software
Plus: A creative studio puts Astra to work on visual effects, 13 beliefs about writing with AI, and a Vibe Check of a new kind of model
When expensive experimentation is worth it and when to rein in your tokenmaxxing
Plus: 13 beliefs about writing with AI, and an antivirus for the AI age
Plus: Mike's vibe check of a model that answers in probabilities; the computer chores our agents do for us now; and a workflow for making a solid deck with AI
Maggie Appleton and Kevin Roose on AI, personal benchmarks, and the Navier–Stokes proof
Why we’re building personal benchmarks for every employee, and how to start testing AI against your standards
Plus: Teaching AI to write like you, what Anthropic’s certification is good for, and 44 agents that are just folders
Plus: Turning your best colleagues into reusable skills, the model built to fix AI writing, and math proofs that outran their authors
Plus: A star investor admits to using AI on his op-ed, a self-improving Codex skill, and the hedge fund where AI use is mandatory
Plus: the number KateBench taught us to count, and a six-agent solar crew helping decide whether to run the dryer
Plus: One person running an engineering team of agents, what it costs to stay at the frontier, and the case for AI writing
Plus: We unpack LLM watermarks, a Codex editing workflow, and the week’s AI news
Plus: How AI helped build the Thesis website, an alien companion bringing in $4 million a year, and why the future of harness engineering is doing less
Laura Entis
Every Staff
Katie Parrott
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