How to choose an AI tool for a real workflow
A practical guide for choosing AI tools based on workflow fit, evidence, cost, reviewability and risk.
Begin with the job
The best AI tool is rarely the one with the loudest demo. It is the one that fits the job, reduces repeated friction and makes output easy to review. Before comparing tools, write down the workflow in plain language.
The decision table
| Factor | What to check |
|---|---|
| Task fit | Does the tool solve a repeated problem? |
| Evidence | Are there docs, examples and credible reviews? |
| Cost | What happens when usage grows? |
| Reviewability | Can humans inspect and correct the output? |
A useful rule
If a tool cannot explain its limits, pricing or data policy clearly, treat it as an experiment rather than infrastructure. A trial can be useful, but production adoption needs stronger evidence.
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