From Prompts to Productivity: How to Use AI That Actually Works

AI is everywhere, but using it well is still a work in progress.

We brought together three Udemy instructors—Federico Garay, Valentin Despa, and Gustavo Escobar Henríquez—to share what actually works when it comes to applying AI in your day-to-day work.

Here’s the playbook.

1. Start with a real task, not a tutorial

The fastest way to get value from AI isn’t by studying it. It’s by using it.

Pick one task you hate and ask: how can AI help me with this

Take a real task you need to do today and try using AI for it, even if you think it won’t work

Start with something already on your to-do list. The learning happens through doing, not preparation.

2. Ask better questions to get better results

AI can generate answers for anything, but not all answers are equal.

The ability to ask the right questions comes from strong domain expertise

Better inputs lead to better outputs. The more context and clarity you provide, the more useful the response becomes.

3. Treat AI like a collaborator, not a tool

If you are only using AI for one-off prompts, you are missing most of its value.

The biggest mistake is using it like a search engine instead of a thinking partner

The real gains come from interaction. Ask follow-ups, refine responses, and build on what you get back.

4. Don’t wait for perfect output. Iterate

AI is not meant to give you the final answer. It is meant to get you there faster.

Don’t expect the perfect outcome. Expect something you can work on and get to the result faster

When AI writes the first draft, our real work starts at the review stage

Use AI to create a strong starting point, then improve it. Speed comes from iteration, not perfection.

5. Be critical. AI isn’t always right

AI is convincing. That is what makes it powerful, and something to approach thoughtfully.

You still need to fact-check and stay critical. Hallucinations are real

Treat outputs as drafts, not facts. Your judgment is still essential.

6. Give AI structure, not just prompts

As AI tools evolve, especially with agents, clarity becomes even more important.

Agents aren’t magic. They require clear instructions, structure, and review

Clear instructions, context, and constraints lead to better results. AI performs best with direction.

7. Focus on outcomes, not outputs

Using AI well is not about generating more. It is about getting to the right result faster.

Perfection isn’t when nothing else can be added. It is when nothing else can be taken away

Clarity and usefulness matter more than volume. The goal is impact.

AI is already reshaping how work gets done, but the advantage does not come from access to tools. It comes from how you use them.

The shift from prompts to productivity is less about learning something new and more about working differently with what is already available.

Ready to move from prompts to productivity?

If you want to go beyond experimenting and start applying AI in your day-to-day work, check out the course created by Federico Garay, Valentin Despa, and Gustavo Escobar Henríquez:

👉 https://www.udemy.com/course/practical-ai-for-work

It is designed to help you build practical, real-world AI skills you can use immediately.