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Laura Entis is a staff writer at Every.
We’re hosting two live camps for paid Every members to put the latest frontier tools to work: Fable 5 Camp this Friday, June 12, followed by
Plus: The ‘Mini Shai-Hulud’ breach, a small step to eliminating AI-isms, and how we define ‘agent’
Plus: What to do when your coding model disappears, GitHub's COO on 14 billion agent commits, and engineers questioning their future
Our team has customized workspaces to get the most out of Codex. Pick one and dive in.
Plus: Buzz enters the chat, a tool for protecting against Sol 5.6’s tendency to delete stuff, and a deep pull from our podcast archive featuring Wired cofounder Kevin Kelly
Plus Claude joins Slack, and design gets its own AI tells.
Plus, how Every’s head of growth stays focused and some aggressively casual language
Use them intentionally, or they could make your AI worse
Plus: Granola’s founder on why starting a company is a 'knife fight,' AI enters the C-suite, and who we’re following on X
Spiral 4.0 introduces a new style engine, why enterprise roadmaps are hard, and a workflow for making your coding agent more efficient
Plus, the CTO-to-IC pipeline and GPT-5.5 one week in
Plus: Trust batteries, and how many agents we’ll have in the future
Plus: Why intent beats volume, a new AI productivity status metric, and a tool for squeezing the most out of cheaper models
Fable 5 versus all other models, a Fable prompt starter pack, and an inside look at Apple’s developer conference
Plus, the AI tell that’s exploded in company documents, a skill for creating product videos, and comics
Plus: An easy way to level up your AI usage, and how Every’s head of growth writes with LLMs
Plus: Permission to skip model-migration anxiety, why being an early adopter is overrated, and the importance of curiosity in an AI-saturated world
We revisit Anthropic’s newest model, Figma responds to the 'SaaSpocalypse,' and how Every’s senior designer wrangles multiple image generators
Plus: OpenAI’s Codex playbook, a trick to cut Fable’s token spend, and the models the team is using this week
Plus: The end of the AI subsidy, do you actually want to talk to your agent, and how to turn customer feedback into a product queue