How to Use AI in Your Business: Become a Power User (2026)

Business professional using an AI assistant to automate documents, data, files, and workflows with agentic AI tools.

You can go from AI beginner to power user in a single afternoon. It comes down to three moves: switch from chat-based AI to agentic tools that can act on your files and systems, pick a complex recurring task and work through it with AI, and turn that process into a reusable AI skill.

At TJ Digital, we run AI-powered marketing for roughly 40 to 50 client websites, and AI-referred visitors convert at about 8x the rate of traditional search traffic. Most businesses are still using AI to brainstorm and draft emails. The ones pulling ahead are the ones using AI for real work, and the gap is widening fast.

Why Everyone in Your Business Needs to Use AI

The most common mistake I see is businesses thinking they can assign one person to “do the AI stuff” or wait until the tools get simpler. Both are wrong.

Think about it this way. If you were an accountant in the 1990s and you hired someone to use Excel for you so you wouldn’t have to learn, you’d have been fine for a year or two. Eventually, every accountant had to learn Excel, Gmail, and computers in general.

AI is the same kind of transition, except the tools are more powerful and moving much faster.

My brother is a high school teacher. He teaches video game development, and he’s worried his students won’t have jobs after they finish school.

As a parent of three kids in high school, I feel that too. It’s hard to know what jobs will even look like in four years.

But on the other hand, anyone who’s spent even a few dozen hours with advanced AI tools could walk into almost any business right now and add a tremendous amount of value. No other skills needed, just a basic understanding of how the business operates and some experience with the tools.

You don’t want to be the business owner who has to hire that person because you never learned the tools yourself.

@tjrobertson52

How to actually use AI at work beyond ChatGPT: pick your hardest monthly task and make AI do it. Then have it write a skill. #AI #ClaudeCode #SmallBusiness

♬ original sound – TJ Robertson – TJ Robertson

Why Basic AI Chat Isn’t Enough

If you’re still doing all your AI work inside a browser chat window, you’ve already hit the ceiling. Chat-based AI can produce text, but it can’t act on your files, access your inbox, or run multi-step tasks without you manually copying and pasting everything.

The newer generation of AI tools can do actual work. They can read your files, connect to your email and calendar, browse the web, create documents, run code, and execute complex tasks with minimal hand-holding.

CapabilityChat AIAgentic AI Tools
File accessCopy-paste onlyReads and creates local files
Tool connectionsNoneGmail, Slack, Drive, and more
Multi-step tasksManual back-and-forthWorks autonomously
Context between sessionsLimited or noneSkills carry instructions forward
Output typesText onlyFiles, code, documents, actions

Tools like Claude Cowork, Claude Code, and OpenAI’s Codex are built for this. You give them a goal and the context they need, and they figure out how to get it done.

How to Become an AI Power User in One Afternoon

Here’s the process I recommend. It works regardless of your role or industry.

Step 1: Download the Right Tool

Stop working in chat. Download the Claude desktop app or a comparable tool like Codex. You want something that can access your files, connect to your apps, and run tasks autonomously.

For non-developers, Claude Cowork is the best option right now. It’s a desktop app that can handle business tasks like organizing files, analyzing data, creating reports, and more, all without writing code. For developers, Claude Code connects directly to your codebase and can read, write, and test code across your entire project.

It doesn’t matter too much which tool you start with. What matters is that you stop doing your AI work in a basic chat window.

Step 2: Pick a Hard Task

Don’t start with something simple. Pick a task you do at least once a month that takes several hours. Something complex enough that you’d normally say “AI could never do this.”

You’re going to have AI do it anyway.

The reason for picking something hard is that simple tasks don’t teach you much. When you tackle a complex process with AI, you learn how to give it the right context, how to connect it to the right data, and how to refine its output. Those skills transfer to every other task.

Step 3: Use Voice Dictation to Load Context Fast

You’re going to need to explain the entire task to the AI, including all the steps, all the judgment calls, and all the context it would need. Typing all of that takes forever.

Download a voice dictation tool like Wispr Flow. You can talk about 4x faster than you can type, and modern dictation tools clean up your speech automatically. They remove filler words and add punctuation as you go.

Then just ramble. Go through your entire process. Explain everything the AI needs to consider, all the intuition you’ve built up over the years, all the edge cases.

Don’t worry about organizing your thoughts. AI is great at taking long, unstructured explanations and turning them into clean processes.

Step 4: Connect Your Tools

As you explain the task, you’ll think of information the AI would need to do the job. Maybe it needs to check your inbox, so connect it to Gmail. Maybe it needs context from team conversations, so connect it to Slack.

Maybe it needs documents from a shared folder, so connect it to Google Drive or OneDrive.

Advanced AI tools support these connections natively. Claude can search your Gmail, read your Google Drive files, and pull context from Slack conversations, all without leaving the interface. The more context you give it, the better the output.

Step 5: Treat It Like a Senior Team Member

This is the part most people get wrong. They give AI step-by-step instructions like they’re programming a computer. That’s the slow way to do it.

Treat it like you’re delegating to a senior-level team member. Give it the goals and the context. Explain what a good result looks like.

Then let it figure out the steps on its own.

The first time through, it will probably take a little longer than doing it yourself. That’s fine. You’re learning and the AI is learning.

As it starts presenting its work, give it detailed feedback. Keep having it iterate until you’re happy with the output.

Step 6: Have It Create a Skill

This is the most important step. After you’ve gone through the task and you’re satisfied with the result, have the AI create a skill documenting everything you both learned along the way.

An AI skill is a saved set of instructions that the AI can reuse. You write it once, and the AI follows it every time. The next time you need to do that task, you just mention the skill and provide whatever additional context is needed for that specific run.

Every time you run the task, give the AI feedback and ask it to update the skill. It does a better job each time.

What Changes After You Build Your First Skill

The first skill is the hardest. After that, the process gets faster because you understand how to give AI the right context, how to connect the right tools, and what good feedback looks like.

Expand this to every task you do on a computer. That’s what turns you into a power user.

You’re building an AI-powered system that handles your most complex, time-consuming work, and it gets better every time you use it.

At TJ Digital, we’ve built over a hundred skills for our own operations. They’ve quietly become our most important business asset.

Every time a team member runs a skill, the output improves. Every time we get client feedback, it gets encoded into the system so it never has to be repeated.

That’s the real advantage of becoming an AI power user. The work compounds. Every hour you invest in teaching AI how you work comes back many times over.

Common Questions About AI Power Users

Do I need to know how to code to use these tools?

No. Tools like Claude Cowork are built specifically for non-developers. You interact with them through plain language, the same way you’d explain a task to a colleague.

Claude Code is the developer-focused option, but most business tasks can be handled entirely through Cowork.

How long does it take to build a useful AI skill?

Your first skill will take an afternoon, maybe a full day if the task is complex. After that, most skills take an hour or two because you already understand the process. The time investment pays for itself the first time you run the skill and save hours of manual work.

What’s the best AI tool for business owners right now?

For general business work, Claude Cowork is the most capable option available. It can handle file management, data analysis, document creation, and multi-step workflows.

For coding tasks, Claude Code is the strongest. Both tools share the same AI model, so the quality of thinking is identical. The difference is the interface and what each one can access.

Start Building AI Into Your Workflow Today

You don’t need to wait for AI to get easier. The tools available right now are powerful enough to handle your most complex tasks.

What’s missing for most businesses is the willingness to spend an afternoon teaching AI how they work.

Pick one hard task. Talk through the process. Let the AI do the work.

Build the skill. Then do it again with the next task.

Contact TJ Digital to get started. We build these workflows for our clients every day, and we can show you exactly where AI will make the biggest difference in your business.