How to Choose an AI Tool (Without Wasting a Month Trying Everything)

Start with the task, not the tool

The AI tool landscape moves fast, and it's tempting to try whatever is trending. A better approach: write down the specific task you want to solve, then evaluate tools against that task specifically.

A five-question framework

1. What's the actual output I need? Text, image, video, code, or a decision/recommendation? This alone eliminates most of the field.
2. Does it need to work with my existing tools? A tool that integrates with your existing workspace (like Notion AI inside Notion, or GitHub Copilot inside your editor) often beats a better standalone tool you have to context-switch into.
3. What's the real cost at the usage level I need? Free tiers often have limits that don't reflect real usage. Check the paid tier price, not just the free tier's existence.
4. Can I verify its output? For anything factual, prefer tools that cite sources (like Perplexity) or make it easy to double-check claims.
5. What are the data-handling terms? If you're pasting in business or personal data, check whether your inputs are used for further model training and what retention looks like.

Use our comparison and category pages

Rather than testing every tool yourself, our comparisons apply the same criteria across competing tools and state the reasoning behind any recommendation. Our category pages group tools by the kind of work they do, so you can shortlist 2-3 realistic options instead of dozens.

A note on switching costs

Once you've built prompts, workflows or a habit around one tool, switching has a real cost. It's often worth paying slightly more for a tool with the integrations and reliability you need than chasing the cheapest option every time a new one launches.