Old instructions and earlier mistakes can derail your AI chats. Here’s how to reset without losing useful work.
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
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
The real cost of AI agents is your time. A four-step framework for keeping your AI costs in check.
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
AI engineer and Every columnist Michael Taylor recently stopped by our New York office for a tutorial on how the prompt optimization tool works
I tested 12 AI models on real human behavior—the best one costs less than a penny per 100 responses
Understanding AI's blind spots can make you a better decision-maker
My AI experiment hit 60 percent accuracy—not perfect, but enough to change how we think about market research
How LLMs will beat the best human marketers
Mike Taylor
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