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Laura Entis is a staff writer at Every.
Plus: The ‘Mini Shai-Hulud’ breach, a small step to eliminating AI-isms, and how we define ‘agent’
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 Claude joins Slack, and design gets its own AI tells.
Our team has customized workspaces to get the most out of Codex. Pick one and dive in.
Plus: What to do when your coding model disappears, GitHub's COO on 14 billion agent commits, and engineers questioning their future
Plus, how Every’s head of growth stays focused and some aggressively casual language
Spiral 4.0 introduces a new style engine, why enterprise roadmaps are hard, and a workflow for making your coding agent more efficient
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
Plus: Why intent beats volume, a new AI productivity status metric, and a tool for squeezing the most out of cheaper models
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
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
Use them intentionally, or they could make your AI worse
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
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
The case against LLMs, and new words for our AI age
Laura Entis