๐ Glossary
Voice (brand voice) โ how you write. Style, tone, favorite phrases.
Few-shot โ giving the LLM 3-5 examples of your best posts. It learns from them.
Cross-posting โ publishing to multiple platforms with adaptation for each (Telegram vs Instagram).
Content calendar โ a schedule of posts ahead of time.
The Main Problem: "I get generic content"
When people say "AI writes poorly," the problem is usually one thing: they don't give the LLM their voice. They get the average response of a typical marketing blog.
The solution is to train the LLM on 3-5 of your best posts. It takes 30 minutes to set up, and then works for months.
Step 1 ยท Build Your Voice Doc
A single doc in Notion / Google Docs:
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VOICE DOC โ My Writing Style
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WHO I AM:
[2-3 sentences about yourself. Profession, experience, ICP.]
MY AUDIENCE:
[Who reads this. Age, pain points, desires.]
TONE:
- Friendly / direct / professional / etc.
- Any specifics (humor, slang, emotions)
POST STRUCTURE:
- Length: XXX-YYY characters
- Number of paragraphs
- Hook style (question / fact / story)
- Outro (question / CTA / cliffhanger)
FAVORITE TECHNIQUES:
- Metaphors (e.g., technical ones)
- Real-life stories
- Specific numbers
RESTRICTIONS:
- Words I DO NOT use ("unique", "innovative")
- Topics I DO NOT discuss
- Clickbait / fear-mongering
5 EXAMPLES OF MY BEST POSTS:
[Each with a headline and body]
Step 2 ยท Prompt for Generating a Post
๐ค Prompt
You are writing a Telegram post in my style.
Read my VOICE DOC below and generate a post on the topic "5 mistakes when choosing a niche for an online course".
[insert entire voice doc]
Length 600-800 characters. Hook with a question, ending with an invitation to the Telegram channel.
First, show me the hook (3 options to choose from). I will choose one, and then you will write the rest.
This is an iterative process. The LLM shows 3 hooks โ you choose the strongest one โ it writes the rest. You get a post in your style in 5 minutes.
Step 3 ยท Monthly Content Calendar
๐ค Prompt
Create a content calendar for the next month.
Context:
- My business: online school [topic]
- Audience: [your ICP]
- Channels: Telegram (3 posts/week), Instagram (2 posts/week), Email (1/week)
- Goals: engagement + selling the course [name]
Topics I want to cover this month:
- [topic 1]
- [topic 2]
- ...
Create a table: date | channel | headline | hook | main idea | CTA.
All topics must lead to the course sale (not directly, but gradually).
Step 4 ยท Cross-Posting Adaptation
One post, different platforms. Telegram is direct, Instagram is more visual, LinkedIn is professional.
๐ค Prompt
Adapt my post [insert original] for:
1. Telegram (as written โ min changes)
2. Instagram (for feed โ more emotion, line breaks, emojis)
3. LinkedIn (professional tone, longer, no emojis, add bullet points)
4. Twitter/X (thread of 4-5 tweets with a hook in the first one)
5. Email block (50-word preview + link to read in full)
Keep the essence. Keep the original language.
Step 5 ยท Image Generation
Every post needs an image. Via DALL-E or Midjourney:
๐ค Prompt
I want a cover image for the post "5 mistakes when choosing a niche".
Write a prompt for DALL-E 3 (in English). Style:
- Flat illustration
- Colors: beige, dark green, white
- NOT photorealistic, NOT cluttered
- Size 1024x1024 for Instagram
- No text on the image
Give me 3 prompt options to choose from.
A Real-Life Example of Time Savings
Dima, owner of an online finance course (3,000 subscribers):
- Before the course: Wrote 3 posts a week himself. About 4 hours per post = 12 hours a week.
- After: Voice doc + LLM. 30 minutes per post (generation + polishing) = 1.5 hours a week.
- Savings: 10+ hours a week. Quality didn't drop โ subscribers didn't notice a thing.
๐ก Golden Rule
The LLM writes in the style of what you feed it. Give it 5 examples of your best posts, and you'll get your voice. Give it a generic prompt, and you'll get a generic response.
๐ฏ Key Takeaway
Voice doc + few-shot examples = your voice in the LLM. A monthly content calendar in 30 minutes. Cross-posting to 5 platforms in 5 minutes. In the next lesson, we'll delegate customer support.