Dozens of new AI agent tools launch every month, and most of them promise to automate your work. Picking the wrong one wastes time, money and trust. This checklist gives you a repeatable way to compare any agent tool before you commit.
1. Define one concrete job first
Start with a single task you want done, such as triaging support emails, researching leads, or drafting weekly reports. A tool that is brilliant at general demos can still fail at your specific job, so test against that job, not a generic prompt.
2. Check task success on real examples
Run the same five to ten real tasks through each tool. Record how many results were usable as is, how many needed edits, and how many were wrong. Wrong answers delivered confidently are worse than refusals.
3. Look at reliability, not just the best run
Agents can behave differently from one run to the next. Repeat the same task several times and note how much the results vary.
4. Understand how much control you keep
Can you review actions before they happen? Can you pause, roll back or restrict what the agent can touch? Good tools make oversight easy.
5. Verify integrations
List the apps and data sources your workflow depends on and confirm the integrations exist and work, rather than assuming they do.
6. Review security and privacy
Find out where your data is stored, whether it is used for training, which permissions the agent needs, and what admin controls exist. See our guide on questions to ask before giving an agent access to your data.
7. Calculate the real cost
Many agents charge by usage, tasks or credits. Estimate a typical month of your real workload, then compare against the time saved. A cheap plan with tight limits can cost more than a pricier one.
How we apply this
These are the same principles behind our published review process.