📖 Terms in this lesson
LLM (Large Language Model) — an AI model that understands and generates text. Claude, ChatGPT, Gemini are the most well-known.
Delegation — handing over routine tasks to someone else. Previously to humans, now to AI.
Prompt — the instruction you give to the AI in plain language. This is the most critical skill of the course.
AI Role — the specific role you "hire" them for: copywriter, assistant, support, analyst.
❌ Before this lesson
- You use ChatGPT twice a week
- You don't understand how to turn AI into an "employee"
- You think "my business is unique, AI won't help me"
✅ After this lesson
- You view AI as an employee
- You know 6 roles you can "hire" it for
- You are ready to delegate 80% of your routine tasks
The Ultimate Mindset Shift
Most people open ChatGPT and ask, "how should I plan my day?". They get a generic response, close the tab, and forget about neural networks a week later.
This is because they use it as a toy — just to play around for 5 minutes.
The right way is to use it as an employee. A specific role, concrete tasks, and clear KPIs.
The Manager Analogy
Imagine you are a small business owner. You have 3 employees:
- Anya — replies to customer emails and processes orders.
- Masha — writes social media and blog posts.
- Dima — gathers analytics and writes reports.
Together, they cost you ~000/mo. And they are human — they get sick, take vacations, and don't reply in the evening.
Now imagine you "hire" 3 LLM employees:
- LLM-Anya — Claude API for support → 0/mo.
- LLM-Masha — Claude to write posts in your style → 0/mo.
- LLM-Dima — Claude to gather data and write reports → 0/mo.
Cost: 0/mo. They work 24/7. Never get sick. Savings: 940/mo.
💡 Key Mindset
An LLM is not an "on-demand assistant". It is a part-time staff member. You assign them a specific role, train them, and monitor their output. That is the only way to get real value.
6 Roles You Can "Hire" an LLM For
| Role | Responsibilities | Complexity |
|---|