Most people rely on a single source when trying to understand tech events - whatever summary article appears first in their feed.

But the real insights come from combining three distinct perspectives that each serve a unique purpose.

My three-source framework for NotebookLM ⬇️

Just finished up a new guide for tomorrow. I recently discovered a new tool for generating AI podcasts. It is way better and more natural than my previous workflows (NotebookLM or Claude + ElevenLabs).

Most companies still think they can control how their employees use AI.

Here's the reality: 75% of knowledge workers are already using AI tools, whether their companies approve or not. And that number isn't going down - it's accelerating.

BYOAI = Bring Your Own AI

For a long time, I was crafting prompts by carefully choosing every word, agonizing over structure, testing and retesting until things worked just right.

Then I discovered something that changed everything: Anthropic actually built tools to handle all of this for us.

Here's a mind-bending stat: AI agents can now predict your behavior with 85% accuracy - matching how well you can predict your own responses two weeks later 🤯

My guide for creating customized writing styles with Claude is here.

I've been testing Claude's new custom styles feature for the past week, and I'm genuinely impressed. This isn't just another minor LLM update – it's a fundamental shift in how we'll interact with AI going forward.

What happens when traditional academic integrity meets AI?

A Massachusetts court case just gave us the answer.

Follow the thread to see what happened:

Have we reached the ceiling of what large language models can do?

Salesforce CEO Marc Benioff thinks so, and his perspective challenges our current AI trajectory.

He argues we've all overestimated the power of current LLMs while potentially missing the next big shift: autonomous AI agents.