Every article we published in October 2026.
A practical guide to commodity intelligence, owning your AI stack, and deciding when to still reach for the frontier
Five prompts that took me from one-off chats to delegating whole projects to teams of agents
Plus: Sam Altman on ‘The Every Podcast,’ Sonnet 5.5 finds its job, and a guide to open models
A million words of failed drafts taught me that improving my AI setup sometimes means giving it fewer rules to follow
An agentic coworker in Slack built to be the fastest way to AI-pill your company
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
Moving from OpenClaw to Claude Managed Agents let us focus on building a shared coworker. Here’s what we gained—and the trade-offs we accepted.
I made AI clones of my boss, a GitHub exec, and my CEO. They knew every rule the real people follow but never knew when to break one.
Plus: Why we built the Every Agent on Claude Managed Agents, how we cut its costs, and when more instructions make AI worse
A breakthrough for Google loyalists, and a great option for frontier hoppers—if they can deal with its outdated harness
Plus: Agents keep tabs on a cattle genetics startup, an AI onboarding buddy, and seven predictions about the future of work
Inside OpenAI’s comeback in coding, from a failed launch to the app that took over ChatGPT
Old instructions and earlier mistakes can derail your AI chats. Here’s how to reset without losing useful work.
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