Getting Started with AI
Honest guidance for people who want to start but don't know how.
Why People Don't Start
I've talked to dozens of smart, capable people who haven't started with AI yet. Here are the real patterns of resistance I've seen:
"It feels like extra work"
They have standard jobs. This feels like additional "work" — they'd prefer to spend their time elsewhere. Plus corporate regulations put strict restrictions on day-to-day AI use. So why bother?
Reality check: Yes, there's a learning curve. But the time investment pays back exponentially. And for personal projects, corporate restrictions don't apply.
"The first step is overwhelming"
They don't know where to start. When I tell them, it feels like a big jump. This leads to procrastination.
Reality check: This is exactly what this site addresses. Clear starting points, progressive steps, honest guidance.
"I need someone to show me" / "Where's the course?"
They expect learning to look like it did before — structured courses, video tutorials, certification programs. They ask for links to courses.
Reality check: AI learning is fundamentally different. The best teacher is the AI itself. Courses get outdated in weeks. Direct engagement beats passive consumption.
"I don't trust it's doing a good job"
Product skepticism. They've tried ChatGPT once, got mediocre results, and concluded it's not ready.
Reality check: I see myself that it works — real results, real production systems. I see the smartest developers and entrepreneurs embracing it. The question isn't "does it work?" but "am I using it right?"
"It shouldn't replace humans"
Ethical concerns. They see AI as non-deterministic, they don't think it should replace humans, so they don't want to be part of it.
Reality check: There is absolutely nothing you can do to stop this. The whole idea of staying away has no upside while missing the opportunity. You can either shape how it's used or be shaped by how others use it.
"Privacy concerns / It will know everything about me"
Personal data concerns — AI will know everything about them.
Reality check: Valid concern. Choose enterprise plans with data protection. Use local models for sensitive work. But don't let privacy concerns prevent all learning — you can learn without sharing sensitive data.
The honest truth:
Every single one of these concerns is understandable. None of them need to stop you. The cost of waiting is going up every day. The cost of starting is going down.
Key Concepts
Concept guides coming soon — how to work with AI effectively, managing knowledge overload, staying in one product lane for learning, where to find quality knowledge.
Practical Steps
Step-by-step guide coming soon — a curated path from zero to capable, with specific resources at each stage.