How to Review an AI Tool in One Hour
A hands-on 60-minute checklist for testing an AI tool against your real task, checking its costs and data terms, and deciding whether to keep it.
A polished demo can make almost any AI tool look useful. Before subscribing, spend an hour testing the job you actually need done. The goal is not to prove the tool is good or bad; it is to find out whether it fits your work, budget and data requirements.
Minutes 0–10: Define the job
Write down one task and a clear success condition. “Help with marketing” is too broad. “Turn a verified product brief into three email subject lines that stay under 45 characters and do not invent features” can be tested.
Also record your current baseline: how long the task takes now, which steps are frustrating, and what a useful result looks like. A tool that saves time only matters if the final output still meets your standard.
Minutes 10–25: Run a realistic sample
Use a representative example from your real workflow. Replace names or sensitive information with fictional data unless your organization has approved the tool for that content. Avoid the vendor’s sample prompt if it is clearly tuned to make the product look good.
Run the task once with minimal guidance, then once with a clear prompt and source material. Save both outputs. This shows whether the product is easy to use and whether better instructions improve the result.
Minutes 25–35: Check the output
Compare the answer with your success condition. Look for factual changes, missing requirements, generic filler, formatting mistakes and any edits you had to make. If the tool makes factual claims, check them against the source material rather than relying on fluency or confidence.
Record what happened in concrete terms: “It produced three options, but two included an unsupported feature” is more actionable than “the output was okay.”
Minutes 35–45: Follow the work beyond the demo
Check whether you can export the result in a format you can use. Try one workflow you will need repeatedly: save a project, share it with a teammate, use a brand template, or move a file to your normal system.
Look at support documents and update history. A product can be attractive in a single session yet difficult to adopt if routine work requires fragile workarounds.
Minutes 45–55: Calculate the real cost
Read the current pricing and plan limits. Include credits, seats, export restrictions, usage caps, taxes, annual billing and any feature available only on a higher plan. Estimate the monthly cost using your expected volume, not the cheapest advertised entry price.
If a free trial requires a payment method or auto-renews, note the renewal date. Set a reminder before the trial ends so you can decide with your notes in front of you.
Minutes 55–60: Check data and make a decision
Read the privacy and data-use terms for the plan you would actually buy. Find out what the tool stores, who can access it, how long it is retained and whether your content may be used to improve models. If the answers are unclear, do not put sensitive material into the product until they are clear.
Use this short scorecard:
| Area | Score 1–5 | Evidence |
|---|---|---|
| Does it solve the chosen task? | ||
| How much editing did the output need? | ||
| Can it fit the workflow and export needs? | ||
| Does the real price fit the budget? | ||
| Are the data terms acceptable? |
Keep the tool only if the evidence is better than your current approach. A narrow tool that reliably saves time on one repeated job can be a better buy than a larger suite whose extra features you will not use.