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What's in the ZeroLabs Resource Library (and Where to Start)

A map of the resources zone: a free 7-part AI for Business course plus standalone tools and templates, all built from real production use.


Last updated: 2026-03-31

What is this zone, and is it for you?

This section of ZeroLabs exists for one reason: there's a gap between "I've heard AI is useful" and "I'm actually using it to run my business." McKinsey's 2024 State of AI report found 72% of organisations had adopted AI in at least one function, but frontline teams still couldn't use it. Courses close part of that gap. Templates close another part. But most of what's out there is aimed at developers or assumes you already have a workflow to plug into.

This zone is for everyone else. Founders, team leads, solo operators, people who've opened ChatGPT twice and felt like they were doing it wrong. If that's you, you're in the right place.

Everything here was built from real use. Not written to fill a content calendar. The templates come from actual projects. The course content reflects problems I've run into building and running teams that use AI daily. None of it assumes a technical background.

How is the library organised?

The resource library runs two tracks. You don't have to pick one forever, but knowing which to start on saves time.

Track one: the AI for Business course. This is a free, 7-part series for founders and team leads who want a working understanding of AI without touching code. It covers how AI actually makes decisions, how to get your team using it safely, how to make it sound like your brand, and a few practical exercises that generate outputs you can use the same day. Start with the overview, then work through the lessons in order. The first one takes about 20 minutes.

Track two: standalone tools and templates. If you have a specific problem, grab what you need and get back to work. The blog post template was built against what AI search systems actually look for in 2026. The GEO and E-E-A-T guide covers how to get your content cited by language models, not just ranked by Google, based on the Princeton GEO research on how generative engines select and cite sources. These work independently. You don't need to do the course first.

Why does this library exist?

Every resource in this library comes from something I actually needed. Not something I thought other people would find useful in theory.

I built the AI for Business course because I kept having the same conversation with founders who were busy and overwhelmed by AI coverage that either talked down to people or assumed everyone was an engineer. The templates exist because I needed them myself, built them for my own content workflow, and figured they'd be useful to others. That's the bar: if it's not something I'd use, it doesn't go in.

Production-tested means exactly that. These aren't drafts. They've been run against actual projects, paying clients, and live publishing pipelines. When something stops working, I update it.

Where should I start?

If you're new here and not sure which track fits, start with the course overview. It's three minutes to read and tells you exactly what you'll get from the full seven lessons. If you're already running AI experiments and just need a specific tool, browse the full resources list and grab whatever looks relevant.

If you're a developer or want to go deeper on automation, the AI Workflows zone has more technical content. The Agents zone covers building AI that does actual work for you, not just generates text.

Frequently asked questions

Is the AI for Business course actually free?

Yes, entirely. No email gate, no paywall. Seven posts, all published and publicly accessible.

Do I need to know how to code?

No. The course and most of the standalone resources are written for non-technical readers. The GEO and E-E-A-T content gets slightly technical in places, but the practical steps don't require writing code.

Where should I start if I've never used AI tools before?

Lesson one of the course: Your AI Action Plan. It's a 20-minute exercise that gives you 5 real challenges to test AI on in your own work. By the end you'll know whether this is worth your time, and you'll have done it rather than just read about it.

How often does the library get updated?

When I build new tools or existing ones need updating. There's no content schedule here. If something changes (and things change fast in AI), I revise the posts and the dates reflect it.


Start with what you need. If you're not sure, the course is the clearest on-ramp. Everything else builds from there.

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