We use analytics and advertising tools by default. You can update this anytime.
Manage optional tracking categories. Necessary cookies stay on so the site can function.
Author
Mike Taylor is the head of evals at Every and a co-author of "Prompt Engineering for Generative AI" (O’Reilly).
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.
A look inside Mike Taylor’s writing workflow—and the work he still does himself
Choose the best model for the work you do
How I went from ‘this is slop’ to work I’m willing to publish under my name
Its new model turns fuzzy questions into probabilities fast and cheaply enough to check an AI agent’s work as it goes
Every's consulting team answers 400 executives on strategy, skeptics, governance, and restructuring for AI
You just have to survive the onboarding, the 404s, and 80 things called Copilot to find it
Everyone hates making presentations. Too bad it’s so hard to automate them with AI.
Here’s what my AI simulated interview taught me about getting the most out of a conversation
The company gets pragmatic in AI’s expensive era
A guide to understanding your state of AI adoption, plus example prompts and how to know when you’re ready to move up
A guide for identifying which state of AI adoption matches your needs, complete with sample prompts and advice for when it’s time to move to the next level
The real cost of AI agents is your time. A four-step framework for keeping your AI costs in check.
Your leadership team already knows how to manage AI. They just don't know that yet.
The AI-native IDE is now becoming an agent-orchestration tool. Will it work?
A playbook from the front lines of AI consulting
After years of self-employment, I went full-time at Every. Here’s why.
The case for keeping your AI on a need-to-know basis
The skills that make AI agents reliable are identical to the skills that make human teams effective
A new tool that 'evolves' your prompts may be the next step in getting LLMs to do precisely what you want
Mike Taylor
Natalia Quintero
.png&w=3840&q=75)
Dan Shipper
