Lesson 26 of 28 · Using AI well
How do you choose an AI tool?
Choose an AI tool by starting from the job, not the tool. Write down the task, who will use it and what a good result looks like. Shortlist two or three tools that do that job, test them on your own real examples, then check the cost at your volume, how they handle your data and whether they fit the software you already use.
Step 1: Define the job
Choosing an AI tool is like hiring: you write the job description before you interview anyone. Note the task (for example, "summarise sales calls and update our customer records"), what goes in and what must come out, who will use it, how often, and how you will judge a good result.
Also ask whether you need a new tool at all. Software you already pay for, such as your email, office suite or design app, may have AI features that cover the job.
Step 2: Build a shortlist
Look for tools that specialise in your task as well as general assistants that might cover it. Search by the job you described, browse by category, read side-by-side comparisons and check rankings to see which tools are widely used and well rated. Aim for two or three serious candidates; more than that makes fair testing hard.
Step 3: Test on your own work
Demos show a tool at its best. Instead, collect five to ten real examples from your own work, including a few awkward ones, and run the same examples through each candidate using free tiers or trials.
Score each result for accuracy, how much editing it needed and whether it stayed consistent across runs. Watch for invented facts, the problem known as hallucination. The time you save after corrections is the number that matters.
Step 4: Check data, cost and fit
Before you commit, read beyond the feature list:
- Data: is your input used for training, how long is it kept, and can you opt out?
- Security and admin: single sign-on, user management and any certifications your organisation requires.
- Cost at your real volume, including seats, usage limits and add-ons.
- Integrations with the tools you already use, and whether you can export your data if you leave.
Step 5: Pilot, measure, review
Roll out to a small group first, measure the time saved or quality gained, and only then buy more seats. AI tools change quickly, so review your choice every few months: a better or cheaper option may appear, and your current tool's terms may change.
Example
Worked example: a simple scoring sheet
Worked exampleTask: draft replies to customer emails. Each tool is scored from 1 (poor) to 5 (excellent). Output quality, weight 40%: A = 4, B = 5 Ease of use, weight 15%: A = 5, B = 3 Cost at our volume, weight 20%: A = 3, B = 2 Data and privacy, weight 15%: A = 4, B = 5 Integrations, weight 10%: A = 3, B = 4 Weighted score = sum of (score × weight) Tool A: 1.60 + 0.75 + 0.60 + 0.60 + 0.30 = 3.85 Tool B: 2.00 + 0.45 + 0.40 + 0.75 + 0.40 = 4.00
Tool B wins narrowly on quality and privacy despite costing more. Scores this close are a signal to pilot both with real users before deciding. Set your weights before testing, so the result cannot be tuned to favour a tool you already like.
Key points
- Start from the job: the task, users, inputs, outputs and what "good" means.
- Shortlist two or three tools, including AI features in software you already own.
- Test every candidate on the same real examples, not on vendor demos.
- Check data use, security, cost at your volume and integrations before you buy.
- Pilot with a small group, measure, and review your choice every few months.
Try it on Mindber
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Frequently asked questions
Should I use one general AI assistant or several specialised tools?
Start with one general assistant for everyday writing, summarising and questions; it covers many tasks at one price. Add a specialised tool only when a specific job needs features the assistant lacks, such as video editing, meeting capture or deep integration with your sales software. Fewer tools also means fewer data agreements to check and fewer logins to manage.
How long should I trial an AI tool?
Long enough to run your real examples and see a normal working week; for a team pilot that is often one to four weeks. A single afternoon shows first impressions, not reliability. Before the trial ends, check how usage limits behaved in practice, how much editing outputs needed and whether people kept using the tool once the novelty wore off.
How do I compare AI tools fairly?
Use the same inputs, the same instructions and the same scoring sheet for every tool, and fix the weights before you test. Run each important example more than once, because AI output varies. Where possible, have the scorer judge results without knowing which tool produced them. Then weigh the scores against the cost at your real volume.
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