New AI tools launch every week, each promising to change how you work. Most people respond by signing up for several, using none, and feeling behind. The fix is to stop shopping for tools and start with the job.
Start with the job, not the tool
Before looking at any product, write one sentence: "I want to turn ___ into ___." That sentence is your spec. It tells you what category of tool you need and gives you a way to judge whether any given option actually delivers.
You're not choosing the best AI tool. You're choosing the best tool for one specific job you can describe in a sentence.
Four questions that narrow the field fast
- Fit — does it do the specific job, or just something adjacent?
- Cost — what's the real monthly price at your actual usage, not the teaser?
- Effort — how long until it's set up and useful? Days of setup can erase the value.
- Lock-in — if you stop paying, do you keep your work and data?
A tool that scores well on all four beats a flashier one that only nails the first.
Test with a real task, not a demo
Demos are designed to impress. Your work isn't. Run one genuine task end to end before committing — the messy, real version, not the clean example. Most tools reveal their limits within the first ten minutes of real use.
When in doubt, use fewer tools
Each new tool is another login, another bill, another thing to learn. A small set of tools you know well beats a drawer full of trials. Add a new one only when an existing tool genuinely can't do the job.