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Author
Mike Taylor is the head of evals at Every and a co-author of "Prompt Engineering for Generative AI" (O’Reilly).
I tested 12 AI models on real human behavior—the best one costs less than a penny per 100 responses
AI engineer and Every columnist Michael Taylor recently stopped by our New York office for a tutorial on how the prompt optimization tool works
A new tool that 'evolves' your prompts may be the next step in getting LLMs to do precisely what you want
The skills that make AI agents reliable are identical to the skills that make human teams effective
The case for keeping your AI on a need-to-know basis
After years of self-employment, I went full-time at Every. Here’s why.
A playbook from the front lines of AI consulting
The AI-native IDE is now becoming an agent-orchestration tool. Will it work?
Your leadership team already knows how to manage AI. They just don't know that yet.
The real cost of AI agents is your time. A four-step framework for keeping your AI costs in check.
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
A guide to understanding your state of AI adoption, plus example prompts and how to know when you’re ready to move up
The company gets pragmatic in AI’s expensive era
Here’s what my AI simulated interview taught me about getting the most out of a conversation
Everyone hates making presentations. Too bad it’s so hard to automate them with AI.
You just have to survive the onboarding, the 404s, and 80 things called Copilot to find it
Every's consulting team answers 400 executives on strategy, skeptics, governance, and restructuring for AI
Its new model turns fuzzy questions into probabilities fast and cheaply enough to check an AI agent’s work as it goes
How I went from ‘this is slop’ to work I’m willing to publish under my name
Choose the best model for the work you do
Mike Taylor
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Dan Shipper
Natalia Quintero
