Choose an AI tool by testing it on your own task, not by reading feature lists. A fair test uses the same three real prompts on each tool, scores the results against six criteria and checks the data policy before any private information goes in.
McKinsey’s 2025 survey suggests why this matters: 88 percent of respondents said their organisations use AI, yet only 7 percent said it was fully scaled, which points to many tools adopted without a clear fit. This guide gives you a simple method you can finish in an afternoon. If you are still learning the basics, begin with AI tools for beginners, and if you want a shortlist of products, see the best AI tools in 2026 by use case.
Step 1: What Exactly Is the Job?
Write one sentence in this form: ‘I need to turn X into Y, about N times a week, for audience Z.’ For example: ‘I need to turn meeting notes into a one-page summary, about five times a week, for my manager.’ If you cannot write the sentence, no tool can fix the problem, and our explainer on what AI tools are can help you name the type of job. Our guide to building a daily workflow around free AI tools shows how to map a task into steps.
Step 2: Which Six Criteria Should You Score?
| Criterion | Question to ask | Score 1 to 5 |
|---|---|---|
| Task fit | Does it do the exact job without workarounds? | __ |
| Output quality | Is the result usable with light edits? | __ |
| Data policy | Do I know what happens to what I paste? | __ |
| Price and limits | Does the free or paid plan cover my weekly volume? | __ |
| Integrations | Does it work with the apps I already use? | __ |
| Exit options | Can I export my work and leave easily? | __ |
The criteria and 1 to 5 scoring are ours. Weight them to match your situation: a freelancer may weight price most, while a manager handling client information should weight data policy most.
Step 3: How Do You Run a Fair Three-Prompt Test?
Choose three real inputs: one easy, one typical and one hard. Run each through every tool with the same wording. Save the outputs without names, and score them blind if a colleague can help. Compare the time to a good result, not just the first answer. Verify every fact, because tools can be wrong, as we explain in AI hallucinations explained.
Step 4: What Should You Check in the Data Policy?
| Question | Where to look | Example from vendor pages |
|---|---|---|
| Are chats used for training? | Privacy or data controls page | OpenAI: turn off ‘Improve the model for everyone’ to stop new chats being used |
| Do humans read chats? | Privacy hub | Google: a subset of Gemini chats are reviewed by humans; reviewed chats kept up to three years |
| How long is data kept? | Terms update or help page | Anthropic: five years if you opt in to training, 30 days if not |
| Does a business plan change this? | Pricing and terms pages | Anthropic’s update excludes Commercial Terms services; OpenAI’s Business plan lists no training on your data |
These details were checked on 31 October 2026 and can change. Read our AI tool safety checklist before using any tool with work data.
Step 5: How Do You Compare Price and Limits?
Count your real weekly use first. Then read each plan’s limits: Claude’s page lists usage limits every five hours and every week, and ChatGPT’s page says limits apply on paid plans. A tool that is cheap but blocks you mid-task costs more in time. Our pricing comparison sets out the current plan prices.
Step 6: What About Integrations and Exit Options?
List the apps in your workflow, such as email, documents and calendar. Claude’s pricing page, for instance, lists Microsoft 365 integration on Pro, and OpenAI’s lists 60-plus app integrations on Business. Also check whether you can export chats and files. OpenAI’s help page says signed-in users can export their data by email.
A Worked Example With Invented Scores
| Criterion | Tool A (example) | Tool B (example) |
|---|---|---|
| Task fit | 4 | 5 |
| Output quality | 4 | 4 |
| Data policy | 3 | 4 |
| Price and limits | 5 | 3 |
| Integrations | 3 | 4 |
| Exit options | 4 | 4 |
| Total | 23 | 24 |
These scores are invented to show the method. Tool B wins narrowly, but if price weighs double for you, Tool A wins. The point is to make the trade-off visible, not to declare a winner. For larger assistants specifically, see ChatGPT vs Gemini vs Claude, and for more tool ideas browse our list of 50 AI tools.
What Mistakes Should You Avoid When Choosing?
The common mistakes are choosing by hype, testing with made-up prompts, ignoring data terms and paying before hitting a limit. Another is picking a tool for its most advanced feature when your task needs a basic one. Our view is that most workflows need fewer features than the marketing suggests.
If you are comparing the three large assistants, our guide to ChatGPT vs Gemini vs Claude lists the plan features side by side, and building a no-code AI chatbot shows a different type of tool.
