The next generation of AI is coming—here’s how they work
Solving AI hallucination with retrieval augmented generation
Using ChatGPT and Claude for memetic analysis
Provide examples to your LLM with few-shot learning
Why role prompting your LLM yields the response you want
AI agents cosplaying as online commenters have a lot to teach us
Know when to copy—and when to go against the grain
Evals are often all you need
I shouted at my AI coworker—and it worked
I tested 12 AI models on real human behavior—the best one costs less than a penny per 100 responses
How LLMs will beat the best human marketers
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 playbook from the front lines of AI consulting
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
After years of self-employment, I went full-time at Every. Here’s why.
Understanding AI's blind spots can make you a better decision-maker
The real cost of AI agents is your time. A four-step framework for keeping your AI costs in check.
How chain of thought works to get better responses
Everyone hates making presentations. Too bad it’s so hard to automate them with AI.
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.
Mike Taylor
.png&w=3840&q=75)
