If you've tried to "get into AI" and ended up with a folder of bookmarked tools you never opened, the problem isn't you. The field produces more announcements in a week than anyone can test, and most beginner advice is just a longer list. This guide is the opposite: a short map with a clear order.
The one rule: fewer tools, more repetitions
Skill with AI comes from using one tool on real work, many times, and noticing what works. Switching tools resets that learning every time. So for the next month, pick one general-purpose assistant and ignore the rest.
The big three, ChatGPT, Claude and Gemini, are all good enough for everyday work. The differences matter later, not now. Pick the one your company already allows, or the one you've opened before. That's the whole decision.
Four weeks, in this order
Week 1: one real task, every day. Pick something you already do at work: summarising a long email thread, drafting a reply, turning meeting notes into a plan. Do it with AI every day. Don't aim for perfect output. Aim to see where it helps and where it doesn't.
Week 2: give it context. Most weak answers come from missing context, not a weak model. Start each request with who you are, what the output is for, and who will read it. Paste the material it needs instead of describing it.
Week 3: finish one small project. Pick something with a clear "done": a reusable template for your weekly report, a checklist for onboarding a client, a cleaned-up spreadsheet. Finishing one thing that works teaches more than ten experiments.
Week 4: learn to check it. Ask the assistant to list its assumptions and anything it's unsure about. Verify numbers, names and quotes yourself. This is the habit that makes AI output usable at work: trust it, but check the parts that matter.
How long until I'm decent?
There's no official number, and anyone who gives you one is guessing. What reliably helps is daily use on real tasks. After the four weeks above, you'll know which of your tasks AI speeds up, which it doesn't, and how to tell the difference. At work, that's most of what "decent" means.
When to add a second tool
Only when you hit a specific wall. For example:
- You need answers with sources you can check: try a search-focused assistant.
- You write code every day: try a coding assistant inside your editor.
- You work with lots of files and documents: first look at the file and project features of the assistant you already use.
If you can't name the wall, you don't need the tool yet.
What you can safely ignore
- New model announcements. If one matters for your work, you'll hear about it from colleagues.
- Leaderboards and benchmark charts. They measure tests, not your tasks.
- "100 prompts you need" lists. Good prompts come from your own tasks.
Should you pay?
Start free. Pay when the free limits block real work you're already doing, not before. One paid subscription is enough for most people. Paying for three to compare them is how the 50-tool backlog starts.
If you do pay, know that on some assistants usage limits depend on how much text they have to process, so long conversations and large attachments use up your allowance faster. Starting a fresh chat for each new task is the simplest way to stretch it.
You're not behind
Being "ahead" with AI mostly means having used one tool on real work for longer. You can start that today. The next guide covers the most common frustration once you do: why AI ignores your instructions, and how to get output you can trust.