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The JobTayo Academy curriculum has one job: take a Filipino professional who already works hard — a VA, a customer support rep, an admin, a designer — and hand them the part of this work that did not get cheaper. Not someone who “uses ChatGPT”. Someone who can read a business, say where it leaks more clearly than the owner can, price the work honestly, and check what AI produces before a client ever sees it. This is the full map of what is published today, in what order, and why each part is there.
The Core Idea: Systems, Not Prompts
Prompting is a skill anyone can pick up in a weekend. That's exactly why it isn't a career. What clients pay for is a system that runs without them — a lead flow that qualifies and routes automatically, an inbox that drafts replies, a portal where their team finds everything. The curriculum is built backwards from those outcomes, which means it starts with the part that has to come first: being able to see the system before you touch a single tool.
The Three Foundation Courses
The foundation is three courses, taken strictly in order. Each one runs sessions, then an exercise, then a quiz, and passing the quiz is what opens the next course. It is linear on purpose, because each course assumes the one before it: Course 2 expects you to already see where a business leaks, and Course 3 expects you to know what you are allowed to send a client.
- 1 — The World of the VA: what this work actually is now, the four layers every business system sits in (data, interface, automation, AI), reading a business as things moving through stages, the five diagnostic questions that find the leaks in about ten minutes, and choosing a tool by fit rather than by reputation
- 2 — How to Get Clients: one industry in one place, twelve ways to reach it, positioning, proposals, pricing worked out on paper before you talk, scope, telling a client bad news early, what is safe to publish about a client, and a portfolio you actually put online
- 3 — The AI-Powered VA: what a language model is doing when it answers you, why it hallucinates hardest exactly where you can check least, four workflows that produce something a client receives, checking work before it goes out, and deciding what is worth automating at all
Passing all three quizzes is what opens the specialisations — Softr, Claude and monday.com. None of them is open yet. They are being built, and we would rather say that than show you an empty course.
Where the Tools Come In
The foundation does not hand you a tool stack to memorise. It gives you the map underneath one, because tools get renamed, repriced and replaced, and the map does not. Every tool lives in one of four layers — data, interface, automation, AI — and most of the confusion people have about no-code comes from comparing two tools that live in different layers. Put each one in its layer and the confusion goes.
Course 1 walks that landscape at orientation depth: enough to place a tool, ask the right four questions, and tell a client what fits. Course 3 goes further into AI itself, and into judging what is worth automating. Deep hands-on work on a single tool is what a specialisation is for, and those are still being built — so read the table below as a map, not as a build tutorial.
| Layer | What it handles | Typical client ask |
|---|---|---|
| Data — spreadsheets, Airtable, a real database | Where the information actually lives | “Nobody knows which version of the sheet is the real one.” |
| Interface — Softr, Glide, Bubble | Letting people use that data without touching it raw | “Our team needs one place to see everything.” |
| Automation — Make, Zapier, n8n | Moving things between apps without a person copying them | “Our leads get lost between the form and the CRM.” |
| AI — ChatGPT, Claude, Gemini | Drafting, summarising, and reading input too messy for a rule | “Can something write the first version of this?” |
| monday.com — a different animal | A platform for running a team, rather than a tool you build with | “We want everyone working in one place.” |
Four questions decide which one you reach for, asked in this order: who logs in, where the data already lives, whether they want a tool or a product, and what they can maintain after you leave. We went deep on Softr ourselves, which is exactly why you should be sceptical of us there — so Course 1 also covers what Softr is genuinely not good at. There is no best tool. There is only fit.
How the Learning Actually Happens
You don't watch videos and hope. Every course runs the same shape — sessions, then an exercise, then a quiz — and the quiz is the gate. The gate is there so that what you learn actually holds.
- Exercises done on the page, nothing to download, with answers that save as you go. Exercise 1 maps three processes at a small print shop and two from your own life. Exercise 2 is a niche, a headline, twenty real names, one video, a project you price yourself, and a portfolio you publish. Exercise 3 runs all four AI workflows on a real discovery call and a genuinely messy spreadsheet
- An answer key, unlocked when you submit — except Exercise 2, which stays editable instead of locking, because those answers arrive over a week rather than in one sitting
- A live call every week, with no fixed syllabus. What people bring is the agenda
- A Discord, where the questions get answered between the calls. Learning this alone is harder than it needs to be
- Self-paced throughout — no cohorts, no start dates, nothing to miss
Who This Is Built For
If you're a Filipino professional who is good at your job and quietly worried that AI is coming for it — this is written for you. You already know how businesses run, how clients communicate, how to be reliable. That's the hard part, and it is the part that did not get automated. What the curriculum adds is what changed around you — the layers, the vocabulary, and the judgement about which of it is worth using.
The people most at risk from AI are the ones doing repeatable work by hand. The people least at risk are the ones building the automations. The distance between those two is a curriculum, not a talent.
Who It's Not For
It's not for people looking for passive income or a quick certificate. Every course ends in an exercise you have to do and a quiz you have to pass, and neither of those is automatic. Anyone can watch videos. Not everyone passes. If you want to be told exactly what to type and never be confused, this won't fit — and we would rather you read that here than find it out in month two.
What You Walk Away With
- A way of reading a business that does not go stale when the tools do — the four layers, the five stages, the five diagnostic questions
- Work that exists outside the course: a niche, a headline, twenty real names in one industry, a project you priced yourself, and a portfolio that is actually online. You produce those inside Exercise 2, not afterwards
- Three passed quizzes, which is what opens a specialisation once one is ready
- Honest habits with AI — bring your own facts, check the work before a client sees it, and know when not to automate something
The three foundation quizzes are scored automatically against a fixed answer key: 67% to pass, one sitting, a 60-minute limit, no back button, and closing the tab ends the attempt. Retakes are unlimited after 24 hours, the questions and answers are reshuffled each time, and your best score is the one that counts. The specialisation assessments work differently — a live call with a person, ₱1,000 per exam, billed separately from the subscription — and none can be booked today, because no specialisation is open yet. Passing one puts a graduate in the talent pool. That is the entire claim: it is not an offer of work, and there is no job guarantee.