From Zero to Hero: How Any Business Leader Can Start Leveraging AI Today

It started with a simple question from Daniel: 'What's actually useful?' Not what's impressive in a demo, not what's trending on LinkedIn — what do you actually open every day, and does it make a real difference?

Daniel Angi is a business coach who works with entrepreneurs and executives across Latin America. He's sharp, practical, and deeply skeptical of hype. That makes him exactly the kind of person you want to have this conversation with. You can't fake the answer when the person across the table is professionally trained to call it out.

What followed was one of the most grounded conversations I've had about AI in a long time. We went tool by tool, use case by use case — and by the end, Daniel had a clear picture of where to start. I'm sharing the framework we built together because I think it applies to almost any business leader who's curious but hasn't crossed the line from awareness to daily use.

The first shift: stop thinking about AI as software

Most people approach AI the way they approach a new app — they look for the feature list, try to figure out where it fits in their workflow, and wonder if it's worth the subscription. That's the wrong mental model. AI is more like a capable junior colleague who happens to be available 24/7, never gets tired, and has read more than any human ever could.

The moment Daniel reframed it that way, the tools made more sense. You don't use a colleague by browsing their feature list. You give them work. You tell them what you need. You iterate.

The tools I actually use — and why

1. ChatGPT / Claude for thinking out loud

Before I write anything — a proposal, a board update, a difficult email — I talk to an AI first. Not to write it for me, but to stress-test my thinking. I'll describe the situation, explain what I'm trying to communicate, and ask where the argument is weak. The output isn't the point. The process of articulating the problem clearly enough for the AI to engage with it is where the value lives.

2. AI for research compression

A task that used to take a half day — reading through reports, synthesizing industry data, identifying what's relevant for a specific client — now takes thirty minutes. I give the AI context about what I need, point it at the right sources, and get a structured summary I can actually act on. The research doesn't replace human judgment. It compresses the time it takes to get to judgment.

3. AI for client communication drafts

I don't send what the AI writes. I never have. But having a first draft — even a rough one — cuts the blank-page problem completely. I know what I want to say faster when I can react to something rather than generate from nothing. The AI gives me something to push against.

4. Replit for building without a technical background

This one surprised Daniel the most. Replit lets you describe what you want to build in plain language and it builds the actual software — no coding required. I showed him how we've used it to prototype internal tools, automate workflows, and ship things that would have taken a developer weeks. For a business owner, the shift is profound: you stop waiting for someone to build what you need and start building it yourself.

The honest conversation about where people get stuck

Daniel pushed me on this: if the tools are this accessible, why aren't more business leaders using them daily? I gave him the honest answer.

• The first few attempts feel underwhelming — people ask vague questions, get generic answers, and conclude the tool isn't useful. Learning to prompt well takes practice.
• There's no onboarding for your specific context. The AI doesn't know your industry, your clients, or your goals until you teach it. That setup time feels like overhead, even though it pays back quickly.
• The tools change fast. Just when you've built a habit, something better comes out. That constant motion creates decision fatigue for people who are already busy.
• Nobody at most companies is responsible for AI adoption. It falls in a gap between IT (who think it's a user tool) and leadership (who think it's an IT tool).

The zero-to-hero path: what I'd tell anyone starting today

Pick one task you do at least three times a week. Something that involves writing, summarizing, researching, or drafting. Use an AI tool for that one task exclusively for two weeks. Don't try to transform your entire workflow. Don't evaluate the tool in the abstract. Judge it by whether that one task gets easier.

If it does — and it almost always does — you'll find the next task naturally. That's how habits form. That's how the gap between 'knowing about AI' and 'using AI' closes.

Daniel's takeaway at the end of our conversation was this: 'The leaders who fall behind won't be the ones who tried AI and decided it wasn't for them. They'll be the ones who stayed curious but never committed to a single real test.' He's right.