How to use a project you found on GitHub

Some of the best AI tools are sitting on GitHub for free. The reason most people scroll past them isn't the code, it's the page: a wall of files, a green button, words like "clone" and "dependencies," and no obvious "start here." So they close the tab and go pay for something worse.

If you came from the video, that's the idea: GitHub is readable once you know the four things to look at. Here's the part that doesn't fit in sixty seconds: the exact prompt I paste to turn a README into a setup plan I can follow, and the traps that waste an afternoon (dead projects, licenses that quietly forbid what you want, and running code you didn't read).

Your first five minutes on any repo

You only need five words to read a repo: repo (the project's folder of files), README (its front page), license (the rules for using it), issues (what other users are complaining about), and commits (when it was last touched). Do these four checks in order, on the repo page, before you download anything. Fail one badly and you've saved yourself the afternoon.

Turn the README into a setup plan with AI

This is the part the video couldn't show. You don't read the setup instructions and hope; you hand them to an assistant and make it translate. On the repo, click into README.md, hit Raw, select all, copy, then paste it into your AI with the prompt below. It's the single most useful thing in this guide.

I'm not a developer. Below is the README for a project I want to run.

My computer: [Mac / Windows], and I've [never / sometimes] used a terminal.
What I want to do with it: [the outcome, e.g. "take online bookings on my own site"].

Please:
1. Tell me in one sentence what this project actually does, and whether it fits what I want.
2. List everything I need installed first, and give me the exact steps to install each on my machine.
3. Give me the setup as a numbered list of copy-paste commands, and before each one, a plain-English line telling me what it does and what I should see if it worked.
4. Flag any step that costs money, needs an account, or asks for a password or key.
5. Tell me the one command to start it, and how I know it's running.

Here is the README:
[paste the whole README here]

Now you're not following a stranger's instructions blind. You're following your own plan, in your own words, with a note on every step telling you what it's about to do. When something breaks, and it will, paste the error message back and ask what it means before you touch anything.

A worked example: the bakery and the booking tool

Say you run a small bakery and you're tired of taking cake orders over DMs. You find a repo called something like "open-appointments," an open-source booking tool with screenshots that look right. The README is real, the last commit was three weeks ago with the maintainer answering issues (alive), and the license is MIT (yours to run, no strings). Then the setup section says "clone the repo, install Node, configure your .env, run the migrations." That's the wall most people quit at.

So you don't. You copy the whole README into the prompt above and fill in the brackets: Mac, never used a terminal, "I want to take cake-order bookings on my own website." What comes back is a numbered list, each line with a plain-English note: install this program first (you'll know it worked when you see a version number), then this command downloads the project, this one starts it, open this address in your browser. One step says "this asks for a database, here's the free option and how to connect it," which is exactly the thing you'd never have known to ask.

Twenty minutes in, the booking page is running on your laptop and you're clicking through it like a customer would. Now you decide: put it online for real (a separate job of hosting, a domain, and updates), or admit a paid tool is the better call. Either way you know from the inside instead of guessing. If you're weighing free-and-self-run against paid-and-handled, how to choose which AI tool to pay for is the honest version of that math.

What goes wrong, and what to do about it

The repo is abandoned and you find out too late. You get three commands deep and the fourth throws errors nothing can fix, because the project was built for versions of things that don't exist anymore. This is why the "is it alive" check comes before you download. When in doubt, search the Issues tab for your exact error. If ten people hit it and nobody answered in a year, move on.

You run code you didn't read, on a project you didn't vet. This is the real risk, so I'll be plain: running a project means running someone else's code on your machine. Stick to repos with a real user base and recent activity, be suspicious of a brand-new account with one repo and no history, and never paste a command you don't understand because a README said to. If a step wants a password, an API key, or your card, stop and ask your AI what it's for first.

Dependencies turn into a rabbit hole. "Install this" quietly means "install this, which needs that, which needs the other thing." It's normal, and it's why the prompt asks for prerequisites up front. When an install fails, it's usually a missing prerequisite, not you doing it wrong. Paste the error, let the AI name the missing piece, install it, try again.

You skip the license and build something you can't keep. This one costs the most. You spend a weekend wiring a GPL project into your paid product, then learn GPL may force you to open-source your own code too, or you build on a "non-commercial" license and can't charge for it. Read the license in minute three, when walking away is free, not in month three. The same instinct for vetting before you commit runs through which AI tools are worth paying for.