Most people use AI wrong. Here's the framework I use instead.

Everyone's talking about AI. Most people are using it like a fancy search engine — type a question, get a mediocre answer, move on.

That's leaving 90% of the value on the table.

After months of experimenting across finance, tech, health, and business, I've found a pattern that actually works:

1. Give AI context, not just questions.

Instead of "What stocks should I buy?" → try "Given these 3 macro trends I'm tracking, what sectors have historically outperformed in similar conditions?"

2. Use it as a thinking partner, not an answer machine.

The best outputs come from iterative conversations. First draft → critique → refine → pressure-test.

3. Cross-pollinate across domains.

The most interesting insights happen at the intersection of fields. AI is uniquely good at connecting dots between health research and productivity science, or between crypto market structure and traditional finance.

4. Build workflows, not one-off queries.

If you're doing the same thing repeatedly, turn it into a repeatable prompt chain. Your future self will thank you.

I'm building ClemzNews58report to share these kinds of breakdowns regularly — across finance, tech & AI, health, business, and crypto. All curated for people who actually want to use AI as a competitive edge, not a party trick.

It's free to join. Come see what we're building.