
Paid tasks · Make · three cases
AI automation
Not “how to chat with GPT”. Tasks business pays for, no-code builds, three portfolio cases, then selling.
35 days · 20 h · 6 modules
Entry point
Tab 1: list 10 real business tasks. Circle three someone would pay to shorten.
Three cases (leads, support bot, content machine) plus a one-page offer.
Anti-promise
- No passive income from one prompt
- No spam engine
- No “agent that finds clients by itself”
This is for you if
- You can open a browser and fill a form
- You’ll spend 2–3 hours a day for a few weeks
- You want paid hours saved, not a demo gif
Not yours if
- Hot schemes with no practice
- Fine-tuning and agent-cult on week one
- Spam and fake diplomas
What you leave with
- A table of tasks that actually get paid
- Working Make scenarios you can screen-record
- A DM-ready offer
Program
What business buys → tools → prompts → three cases → sales.
01
What businesses actually buy in AI automation
Hours saved, more sales, fewer errors. Not “AI”.
- Five paid buckets26 min
- Cut after the block · Cut: demand6 min
02
No-code tools: Make, n8n and basic Zapier
Make first. Neighbours later.
- A stack without a zoo24 min
- Cut after the block · Cut: tools6 min
03
Effective prompts for business tasks
Narrow role, examples, output shape.
- The model as a staffer28 min
- Cut after the block · Cut: prompts6 min
04
End-to-end project #1 — Automatic lead processing
Form → score → sheet + Telegram.
- Case 1 — inbound leads30 min
- Cut after the block · Cut: leads6 min
05
End-to-end projects #2 and #3 — Support chatbot + Content machine
Handoff when unsure. Drafts a human finishes.
- Cases 2–3 — support + content30 min
- Cut after the block · Cut: bots6 min
06
How to sell AI automation skills
Who, what it removes, install time, price.
- How to sell the hours24 min
- Cut after the block · Cut: sell6 min