Hey
A few years ago I was building an AI company with no real plan.
I did not have a computer science degree. I did not come from a tech background. What I had was a obsession with figuring out how these tools actually worked and the discipline to practice the fundamentals every single day.
We sold that company for millions of dollars. I was 30.
After that I could have disappeared. Started another company. Stayed quiet.
Instead I started CoolDeep AI. Because the one thing I kept seeing, everywhere, was people chasing the wrong thing. Everyone was running toward automation, agents, tools, vibe coding. And they were skipping the stuff that actually matters first.
That is why I am writing this today.
Not to overwhelm you. Not to give you another list of tools to try.
This is about the 9 fundamental AI skills that separate the people actually winning from the people who try AI for a week and say it does not work.
The window is real. This will be basic knowledge for everybody in a few years. Right now it is still an edge.
The real problem nobody talks about
Most people I see are approaching AI backwards.
They hear about AI agents. They download 10 tools. They watch a video about automation. They feel busy. And then three weeks later nothing in their life or business has actually changed.
The reason is simple. They skipped the foundation.
You would not try to run before you learn to walk. But with AI, everyone is sprinting toward the advanced stuff before they even understand how to have a good conversation with it.
These 9 skills fix that. In order.
The 9 AI Skills You Must Have in 2026
Skill 1: Change your default reaction
When most people hit a problem, they Google it, ask a friend, or just stay stuck.
The first skill is not a feature. It is a habit.
Your default reaction to any problem should be to ask AI first. Not Google. Not a forum. AI.
I was setting up a tripod and the instructions made no sense. I opened Claude on my phone, took a photo of what I was looking at, and had a clear answer in 30 seconds. That is the mindset shift. Every time you feel stuck, that is your cue to open AI first.
This sounds small. It is not. It compounds every single day.
Skill 2: Develop healthy skepticism
Now here is where most people overcorrect.
They start asking AI everything, which is great. Then they believe everything AI tells them, which is dangerous.
AI can be wrong. It can hallucinate. A lawyer once cited three completely fabricated cases because he trusted AI without verifying. That is an extreme example but the principle applies to everything.
The rule is simple. Trust but verify. If AI gives you a link, click the link. If it gives you a fact, check the fact. Use it as a first draft of the truth, not the final word.
Skill 3: Give it real context
This is where 90 percent of people go wrong on prompting.
Bad prompts give AI nothing to work with. Good prompts give it everything it needs.
Here is a framework I use. Task, Additional Information, Constraints, Ask.
Task: what exactly do you want. Additional Information: your business, your audience, what you do. Constraints: what you do not want, what tone to avoid, what audience to skip. Ask: at the end, add "ask me clarifying questions." That last part changes everything.
Here is the simplest exercise you can do right now. Open Claude. Type: "I want to achieve [your goal]. What do you need from me to give me the best possible answer?" Watch what it asks you. Those gaps are what was missing from your prompts all along.
Skill 4: Use AI to educate yourself, not replace your experts
A lot of the content online about AI replacing jobs is written to make you stop scrolling. It is not written to help you think clearly.
The real mental model is this. Use AI to answer your basic questions first. Then when you go to a domain expert, a lawyer, a financial advisor, a strategist, you are having a completely different conversation. You are talking strategy instead of starting from zero.
That saves you money. It saves you time. And it makes you sharper in every room you walk into.
Skill 5: Treat AI like a new hire
People expect AI to be perfect on day one.
You would never expect that from a person you just hired.
A new hire on day one knows almost nothing about how you specifically work. By day 30 they are getting it. By day 90 they are operating with less oversight.
AI works the same way. Give it context on day one, yes. But also give it feedback every single session. For content work, after Claude writes something for me, I tell it to reflect on the feedback I just gave and update its memory and approach. It keeps getting better. And it will for you too, if you put in the time.
Skill 6: Build feedback loops
This one is how the most productive people I know are operating right now.
Instead of reviewing every piece of AI output yourself, you build a system where AI grades its own work.
Write a post, have another AI instance grade the hook and structure, set a passing score of 90 percent, and tell Claude not to finish until it passes. Claude will rewrite it, grade it again, improve it again, and only give you the final version when it clears the bar.
You are not looking at every draft. The system handles the improvement loop. You see the final output.
This works for content. It works for research. It works for code. Anywhere you are checking AI's work manually, there is probably a feedback loop you can build instead.
Skill 7: Write documentation
This is the most underrated skill on this list.
Documentation is just written instructions. A Google Doc that tells AI exactly how to do a specific task, in your way, every single time.
Here is the exercise. Find one thing you do more than three times per week. Break it down into every single step. Not "prepare for a sales call." Break it down: look up the person on LinkedIn, check for recent company news, prepare the demo for their specific use case, draft the follow-up email. Every step.
Then go to AI and ask: how can I use AI to automate or streamline parts of this process?
Do this once a week and within a month you will have a system that does a significant portion of your repeatable work for you.
Skill 8: Understand AI agents
Most people hear "AI agent" and their brain goes to code and APIs and developer stuff.
Here is the simple version. Before agents, AI talked. You gave it a prompt, it gave you a draft, you did all the work. After agents, AI acts. You give it a goal, it takes real steps in the real world to complete it.
The unlock is connecting AI to the tools you actually use. Go to [claude.ai](https://claude.ai) right now. Click Customize on the left sidebar. Click Connectors. Connect Gmail. Connect your calendar. Connect whatever you actually use.
Now give it a task like "summarize my three most urgent emails." That is an agent. Not a chatbot giving you a draft. A tool taking an action.
Start there. Then ask AI: what are the five tools I use most and how do I connect them?
Skill 9: Apply AI to a proven business model, not an AI business
Stop trying to build an AI business from scratch if you do not have a clear plan.
The people making real money right now are not all building rocket ships. Most of them took something that already worked and used AI to do it better, faster, and with a smaller team.
I am a content creator. That is a business model that existed long before AI. I grow from zero to 2.3 million followers across social media and push around 250 pieces of content per week, almost entirely alone. AI helps me generate ideas, write hooks, create visuals, analyze data, and manage my content calendar.
The business model is old. The leverage is new.
Take whatever you already do. Apply the skills above to it. You do not need to reinvent anything. You need to use what you already know, just better.
Quick recap: The 9 skills
1. Change your default reaction. Ask AI first.
2. Develop skepticism. Trust but verify.
3. Give it context. Task, information, constraints, ask.
4. Use AI to educate yourself before talking to experts.
5. Treat it like a new hire. Give feedback every session.
6. Build feedback loops. Let AI grade its own work.
7. Write documentation. Break down what you repeat.
8. Learn AI agents. Connect AI to your actual tools.
9. Apply AI to a proven model, not a brand new one.
10.
My final words
None of this is complicated. That is the point.
The people getting rich from AI right now are not necessarily the smartest people in the room. They are the ones who went back to basics when everyone else was chasing the next shiny thing.
You already understand more than you think. These newsletters are proof that you are paying attention when most people are not.
The window is not closed. But it is closing. And the people building these habits today will be so far ahead in two years that the gap will feel impossible to close.
Start with skill one. Practice it for a week. Then move to skill two.
That is all it takes. One at a time.
Reply and tell me: which of these 9 skills do you need to work on most?
Talk soon. Stay curious.