The 5 Most Common Mistakes When Using AI at Work

Using artificial intelligence every day looks simple: you open the chat, type a request, get an answer. But there's a real gap between using AI occasionally and using it effectively at work — and that gap is made of small bad habits almost everyone repeats in the first few weeks. Here are the 5 most common mistakes we see among professionals who are just starting out with AI, and how to fix them.

1. Treating AI like a search engine

The first mistake is writing prompts that are too short and generic, as if typing a query into a search engine: "lease agreement", "reminder email". Generative AI works much better when it gets context: who the text is for, what tone to use, what constraints apply, what the goal is. A two-line request almost always produces a generic result that has to be rewritten from scratch.

2. Never re-reading the output

The second mistake, perhaps the riskiest one, is copying and pasting the AI's answer without checking it. Language models can generate information that sounds plausible but is wrong, especially with specific data like amounts, legal references or citations. Treating the output as a draft to review, not as a final text, is the one habit that really prevents unpleasant surprises.

3. Sharing sensitive data in prompts

Pasting client names, tax data, entire contracts or confidential information into a public AI chat is a mistake that costs dearly. Before sharing a document, it is always worth asking whether it contains information you wouldn't want to see outside your office or company, and when in doubt, anonymising or generalising the data before pasting it.

4. Starting from scratch every time

Many professionals write an effective prompt, get a good result, and then the following week find themselves reinventing it from zero because they never saved it anywhere. Building even a small archive of prompts that worked — for standard emails, for summaries, for document drafts — saves real time within just a few weeks.

5. Using a single tool for everything without checking alternatives

Not all AI tools are the same, and not all are suited to the same task. Sticking with the same tool out of habit, without ever comparing results on an important task, often means settling for lower quality than what is actually available.

Frequently asked questions

What is the most common mistake among people starting to use AI?

By far, writing prompts that are too generic: adding context and a clear goal almost always improves the result.

Is it safe to paste work documents into an AI chat?

It depends on the content: before sharing a document, check whether it contains sensitive or confidential data and, if so, anonymise it first.

Is it worth saving prompts that work well?

Yes: even a minimal archive of tested prompts saves time every time you repeat a similar task.

Avoiding these five mistakes doesn't require technical skills, just a bit of method. To start building more effective prompts you can try TomStore's prompt generator, or read more about privacy in the article AI and Privacy: What NOT to Feed Chatbots. If you'd rather follow a structured path, take a look at our prompt packs on common mistakes and privacy in the shop.