Resources

Start with the name brand’s free tier. If your usage fits under it, use the paid tool and skip self-hosting, because your time costs more than a free plan. Open source wins on day one in only two situations, and this guide names both, tool by tool, with the usage or the bill that should trigger a switch.

Jev doesn’t write for you. You hand it context and a set of options, and it hands back a classification, a score, or a probability. That’s a narrower product than a chatbot, and the narrowness is the entire opportunity. Eleven places I’d look, and four questions that generate more of them than any list.

/brag is an open-source Claude Code skill that reads your project’s actual code, writes a storyboard, scores it, renders an MP4, and hands you the caption to post with it. Two commands to install, one word to run. Here’s the setup, then five things worth knowing before your first run.

/brag isn't mine. I have no relationship with the people who make it or with Hyperframes. I just use it.

The 11 most-starred skill repos for Claude Code and Codex, ranked by GitHub stars. For each one you get what it does, what makes it good, and the exact command to install it. This one's a web page, not a PDF, so the Copy buttons work.

How to build a command-line tool that reads the systems your business actually runs on, with the worked example I built against HubSpot, QuickBooks and Gmail, the seven prompts that produce it, and the part everyone gets stuck on: getting the tokens.

Ten things to check before you upgrade, in the order I’d check them. Most people running out of tokens are not doing too much work. They are carrying too much furniture into every single message.

Copy these three prompts into muse.ai once your Instagram account is connected. One reads your competitors, one audits your last twenty posts, one takes apart how your videos end. Paste them as-is.

Twelve things to check the night before your first App Store submission. Three of them are mine, learned by arguing with Apple. The other nine are the ones that catch everybody else.

Cloudflare built a toll booth for AI crawlers and left the pricing logic empty on purpose. Eleven businesses that could grow in that gap, what each one actually requires to work, and the specific reason each one might not.

OpenAI shipped a model that can operate software for forty minutes at a stretch and still fails most of the way through six out of ten professional automations. Seven businesses that work anyway, because in each one checking the answer costs less than producing it. Each also gets the specific reason it might not.

How to move a career you already have into the job companies are creating right now: getting real people to actually use the AI they already bought. What the work is, which door you walk in, and the thirty days that make you credible.

Ten free courses, in the order that actually works, plus what to build after each one. Four weekends, about twenty five hours, and one small agent at the end that does a real piece of your job.

Ninety days, no computer science degree, and a portfolio you can build on your own time. A practical route into the job companies are quietly desperate for and have mostly forgotten to hire.

Ten ways to put two AI models on the same problem so the second one catches what the first one missed. Why each works, and the one rule that decides whether you get better answers or just more expensive ones.

How to make sure the AI-assisted work leaving your hands is real work. And what to do, without starting a fight, when someone hands you the other kind.