Free, plain-English guides and working kits. Each one takes a few minutes and leaves you with something you can actually use. New drops regularly.
2 new lessons unlock every day.
Understand the tech in plain English, one short read at a time.
The prediction engine behind it all, in plain English. Watch it predict the next word, live.
A 2-minute visual guide: what an MCP is, how it differs from an API, and real ones (Chrome, Google, Stripe, Higgsfield) in action.
How your software talks to other software, and how it differs from an MCP. Make a live request.
Not a fancier chatbot. A model given a goal, tools, and a loop. Watch the think-act-observe loop run.
When you need fixed rails, when you need judgment, and when the answer is a hybrid.
No secret magic words, just clear delegation. Six moves that move the needle, plus a live prompt upgrader.
How AI reads your own documents, without retraining. The open-book-exam trick, with a live retrieval.
The engine under RAG: search by meaning, not keywords. Watch a meaning-based search light up.
Why your AI bill works the way it does: tokens, the context window, and a live cost estimator.
Capability vs speed vs cost. Match the model to the job instead of always grabbing the biggest.
Context vs tools vs fine-tuning: the three ways to teach AI your business, and when each fits.
Trust, safety, privacy, and proving the payoff.
AI is a power tool, safe with the right guardrails. With a "should you automate this?" checker.
Confidence is not correctness. A hands-on way to catch the made-up stat, date, or citation.
Where your data actually goes, what counts as sensitive, and the questions to ask any vendor.
Is it actually paying off? Pick a baseline, measure before and after, with a live ROI calculator.
The capstone: adoption is a people problem. Build your own 30-day rollout plan, live.
Real, runnable tools you set up yourself. Read-only and draft-first by default.
Text it like an assistant. It reads your calendar, drafts the email, and books the meeting (after you say yes).
Text the job details, get a clean quote (and invoice) drafted; you approve, it sends. Built for trades.
A new lead comes in, your bot replies in seconds, qualifies it, logs it, and pings you.
You learned what an MCP is; now build your own and connect any AI to your real data.
Ask your spreadsheet questions in plain English, get answers and the steps it used.
Paste a transcript, get a clean summary and a who-owns-what action list.
A few details in, a polished proposal or contract draft out, from your own templates.
The follow-ups you always mean to send, drafted and queued for your okay.
Every morning it labels, summarizes, and drafts replies for your whole inbox. You just approve.
Drafts on-brand replies to every review and flags the 1 to 2 star ones that need you.
A 24/7 front desk that answers from your own docs: hours, services, policies, with sources.
A Monday brief that reads your calendar, inbox, and numbers so you do not have to.
Reads your calendar, texts reminders, and parses the can-we-move-it replies. Fewer no-shows.
One idea, every channel: turn a post or voice note into LinkedIn, Instagram, and X drafts.
Rabbithole