Getting Started 5 min read Updated 2026-04-11

What's the first thing I should try with AI if I've never used it before?

Quick answer

The first thing to try is a text tool on one writing task you already do every week — a status update, a summary email, a product description, a lesson recap.

A rough handwritten notepad page next to one glowing text cursor on a plain desk, with empty paper stretching behind.
Start with one recurring writing task and one text tool — not ten scattered experiments. AI-generated illustration

Pick that single task, paste your rough notes into ChatGPT or Claude, and ask it to turn them into a clean first draft. That's it. One task, one tool, one week.

## Why text, not images, is the right starting point

Text tools give you the clearest feedback loop. When an image model produces something odd, you often can't tell whether the problem was your prompt, the model's training, or a random seed. With text, you can read the output and immediately see what it misunderstood. That makes text the fastest way to build the mental model of how these tools behave — what they're good at, where they hallucinate, how much detail a prompt needs.

According to our AI tool database, the AI tools landscape now spans 360 tools recorded at verification time, and the image side alone is crowded: Midjourney from Midjourney Inc. carries an editorial rating of 4.8/5 in that database, and Adobe Photoshop, also rated 4.8/5, ships Firefly AI Generative Fill in Photoshop 2026 (v27.5). Those are excellent tools. They are also the wrong place to begin, because the skill you're building first is not art direction — it's learning how to brief a machine and judge what comes back.

## The mechanism: why one recurring task beats ten experiments

AI tools reward repetition. The first time you ask for a summary, you'll get something generic and you'll rewrite half of it. The third time, you'll have learned which words in your prompt actually change the output — "keep it under 150 words," "use a plain-English tone," "list the three decisions separately." That learning only compounds if you're doing the same task repeatedly.

Jumping between ten different tools in your first week feels productive and teaches almost nothing. You're collecting novelty, not skill. A single weekly task gives you a baseline you can compare against, which is the only way to know whether the tool is actually saving you time.

## A concrete worked example

Say you manage a small team and write a Friday progress note. Normally: 20 minutes of staring at a blank doc, pulling details from memory, trimming it down.

Try this instead. Open ChatGPT or Claude and paste your raw bullet points — messy is fine:

> "shipped the login fix, two bugs left on the dashboard, waiting on design for the new signup flow, team offsite moved to the 14th"

Then ask: "Turn these notes into a short Friday update for my team. Keep it under 150 words. Plain tone, no corporate language. End with what's blocked."

You'll get a draft in seconds. It won't be perfect. Maybe it's too formal, or it buries the blocked item. So you reply: "Move the blocked item to the top and cut the greeting." Now you have something usable. Total time: three or four minutes instead of twenty.

The real lesson isn't the time saved on week one. It's that by week three you'll know exactly which instructions to include up front — and that knowledge transfers to every other writing task you throw at these tools.

## Where this advice breaks down

Text-first only works if you actually have a recurring writing task. If your job is mostly visual — retouching photos, designing layouts — then a text tool will feel disconnected from your work, and you should start with an image tool instead. Adobe Photoshop is the obvious candidate if you already use it, since the AI features sit inside the editor you know.

Second limit: pricing. Subscription costs for AI tools change often, and plans get restructured. The only reliable source is the vendor's own pricing page on the day you're buying. Don't budget from a blog post, including this one.

Third, and most important: this first task is a probe, not a strategy. It tells you whether AI fits how you work. It doesn't tell you whether it fits your team, your compliance rules, or your clients. If you're using AI at work, there are real questions about disclosure and employer policy that are worth reading up on before you make it a habit.

One tip that goes beyond the obvious: keep a running note of the exact prompts that worked. Not the task — the prompt. Beginners lose more progress to forgetting a good instruction than to any tool limitation. A plain text file with five proven prompts is worth more than a month of scattered experimenting.

If you want a broader picture of what these tools can do before you commit, start with the text task above, then branch out once you've got one win under your belt.

How this page was produced: this answer was generated by an automated content pipeline from the sources listed in the text. It was not written or reviewed by a human editor, and it contains no first-hand product testing by us. Where a figure is stated, it comes from our own AI tool database and its verification date is noted. If something here looks wrong, tell us and we will correct or remove it.

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