How to Evaluate an AI Tool Before Buying: A Practical Checklist

Buying a pre-built AI tool or micro-SaaS can save you months of development work. But choosing the wrong one wastes money and time. Whether you're evaluating a ChatGPT wrapper, a content automation tool, or a specialized micro-SaaS, you need a structured way to vet before you commit.

This checklist covers the hard questions you should ask before handing over cash.

1. Core Functionality and Use Case Fit

Start by confirming the tool actually does what you need.

Does it solve your specific problem? Don't buy based on marketing copy. Test it with your actual workflow. If it's a content tool, use it on your content. If it's an automation platform, run your exact process through it.
What's the scope? A tool that handles 80% of your use case might be good enough. A tool that handles 30% isn't. Know the difference before buying.
Are the limitations acceptable? Every tool has constraints—API rate limits, monthly usage caps, feature restrictions. Read the fine print. If they're not disclosed, that's a red flag.
Is it actively maintained? Check the last update date. If the codebase or feature set hasn't been touched in 6+ months, ask why. Dead projects can become dead weight fast.

2. Technical Quality and Code Health

What you're buying is only as good as what's under the hood.

Request a code audit. Before purchase, ask the seller for access to the codebase (via escrow, naturally). Spend an hour reviewing it. Look for: messy architecture, missing error handling, hardcoded credentials, or dependency bloat. You'll be maintaining this. Make sure you can.
Check dependencies and tech stack. Is it built on a stable framework? How many third-party libraries does it rely on? Fewer dependencies mean fewer things to break.
Are there tests? A tool with unit tests and integration tests is lower risk. A tool with zero tests is a gamble.
What about security? Does it handle API keys properly? Are secrets stored securely? Is data encrypted in transit? For any tool that touches user data, this matters.

3. Support, Documentation and Handover

Buying a tool is only the start. You need to run it, maintain it, and potentially modify it.

Is there documentation? README files don't count. You need setup guides, architecture docs, and a runbook for common problems. Ask the seller: "What do I need to know to run this tomorrow?"
Will the seller help with setup? A good handover takes time. Legitimate sellers should offer support during transition—API key migration, environment setup, testing in your infrastructure. If they ghost after payment, that's a problem.
What happens if something breaks? Can you fix it yourself? Do you need the original developer? For how long? If you're buying a ChatGPT wrapper with zero documentation and the seller disappears, you're stuck.
Is source code included? You should own the code. Not a demo, not a trial license—full source. This is how you protect your investment.

4. Pricing, Licensing and Long-Term Costs

The sale price is just the beginning.

What's the all-in cost? Most AI tools have ongoing costs: API fees (OpenAI, Anthropic, etc.), hosting, database, third-party services. Factor these in. A $500 tool that costs $2,000/month in API calls isn't cheap.
Are there hidden licensing restrictions? Can you resell it? Modify it? Run multiple instances? Deploy it on your own server? Read the license agreement carefully. GPL, MIT, and proprietary licenses have very different rules.
What about payment processor fees? If the tool integrates Stripe or another payment processor, those fees compound. Know the margin impact.
Is the price fair? Check comparable tools. If a similar solution on the market costs $2,000 but this seller is asking $10,000 with no clear advantage, dig deeper. Overpriced tools are often overpriced for a reason (low quality, limited features, or weak support).

Conclusion

Before you buy, audit. Test the functionality yourself. Review the code. Understand the ongoing costs. Talk to the seller about handover and support. Ask hard questions. A legitimate seller will answer them.

A pre-built AI tool or micro-SaaS can be a real shortcut. But only if you vet it first. Use this checklist, take your time, and you'll avoid buying a lemon.