Day 10: AI content engine – blog, social, email from lead data

🔗 Knowledge graph – Day 10 builds on everything

Day 1

Prompt engineering – all content prompts reuse Day 1 frameworks (role, task, context, format).

Day 2

Zapier logic – triggers for new content requests (simpler flows).

Day 3

Make multi-step – content generation pipelines with routers, aggregators.

Day 4

OpenAI API – core engine for all content generation.

Day 5

Lead qualifier – lead data feeds content personalisation.

Day 6

Biz cases – content needs for sales, support, ops.

Day 7

3 builds – you practiced multi-step flows.

Day 8

Lead qualifier – BANT data, language, industry → content personalisation.

Day 9

Sales assistant – email sequences need content; this engine supplies it.

Shared link: Day 8 provides lead data (industry, language, pain points). Day 9 needs email content. Day 10 generates that content AND repurposes it for blog/social – creating a complete content ecosystem.

🧠 What is an AI content engine?

📌 Content at scale, personalised automatically

An AI content engine uses OpenAI (Day 4) to generate blog posts, social media updates, and email campaigns based on your lead data, industry trends, and content briefs. It doesn't just write – it personalises for different segments (e.g., real estate vs. SaaS leads).

Analogy: Think of it as a content factory. Raw materials = lead data + topic ideas. Assembly line = Make.com scenarios. Robots = OpenAI prompts. Output = finished blog posts, tweets, emails ready to publish.

🏗️ System architecture – three content pipelines

Blog pipeline

Topic → outline → draft → images → WordPress

Social pipeline

Blog post → 5 tweets → LinkedIn post → Instagram caption

Email pipeline

Lead data → personalised newsletter → campaign

📝 Build #1: Automated blog post generator

This system takes a topic idea and produces a complete, formatted blog post ready for WordPress.

Trigger: New topic request

Sources:

Google Form (client submits topics)
Airtable/Sheet with new row
Scheduled trigger (weekly content plan)

Practice example: Create a Google Sheet with columns: Topic, Target Audience, Keywords, Tone (formal/casual). This will be your trigger.

Generate outline (OpenAI call #1)

Prompt (Day 1 style):

{
  "messages": [
    {"role": "system", "content": "You are a senior content strategist. Create a detailed outline for a blog post on the given topic. Include H2 headings, bullet points for each section, and key takeaways."},
    {"role": "user", "content": "Topic: {{topic}}\nTarget audience: {{audience}}\nKeywords: {{keywords}}"}
  ]
}
                        

Practice example: Topic = "How AI helps real estate agents", Audience = "Real estate agents", Keywords = "lead generation, follow-ups". Run this prompt and save outline.

Write full draft (OpenAI call #2)

Second call uses outline to write complete post:

{
  "messages": [
    {"role": "system", "content": "Write a complete blog post based on the outline. Use {{tone}} tone. Include introduction, each section with examples, and conclusion with call-to-action."},
    {"role": "user", "content": "Outline: {{outline}}"}
  ]
}
                        

Generate images (DALL-E / Unsplash)

Optional: Use OpenAI Images or Unsplash API to add visuals.

DALL-E prompt: "Professional blog header image for article about {{topic}}, modern style"
                        

Post to WordPress

Use WordPress module in Make to create draft or publish. Map title, content, featured image, categories.

Practice example: Set up a test WordPress site (or use dummy data) and see your post appear.

🐦 Build #2: Blog → social repurposer

Take any blog post and generate a full social media package.

Trigger: New blog post published

WordPress trigger "New post" or Google Sheets row marked "Published".

Generate Twitter/X thread (5 tweets)

Prompt:

"Create a Twitter thread of 5 tweets from this blog post. First tweet should hook attention. Each tweet under 280 characters. Include relevant hashtags."
                        

Practice example: Take the blog post you generated in Build #1 and run this prompt. See how it distills key points.

Generate LinkedIn post

Prompt:

"Write a professional LinkedIn post summarising this blog. Add 3-5 bullet points and ask a question to encourage comments. Use emojis sparingly."
                        

Generate Instagram caption

Prompt:

"Create an engaging Instagram caption from this blog. Include emojis, a call-to-action, and 10 relevant hashtags."
                        

Post or schedule

Use Buffer/Hootsuite modules, or save to Airtable for review.

📧 Build #3: Personalised email campaigns (connecting Day 8-9)

This system uses lead data from Day 8 to create personalised email content for Day 9 sequences.

Trigger: Lead segment (from Day 8)

HubSpot list or Google Sheet with leads grouped by:

Industry (real estate, SaaS, e-commerce)
Pain point (from BANT need)
Language

Practice example: Create a sample sheet with 3 leads: "Real estate agent needs lead gen", "SaaS founder needs pricing help", "E-commerce owner needs email marketing".

Generate personalised newsletter

One AI call per segment:

{
  "messages": [
    {"role": "system", "content": "Write a helpful email newsletter for {{industry}} professionals. They struggle with {{pain_point}}. Include: 1) A short story, 2) 3 tips, 3) A relevant case study. Tone: friendly expert."},
    {"role": "user", "content": "Sign as 'Alex'"}
  ]
}
                        

Personalise each lead (optional)

Use an iterator to add first name to each email:

"Hi {{first_name}},\n\n[newsletter content]"

Send via email marketing tool

Connect to Mailchimp, ConvertKit, or HubSpot emails.

📚 Content prompt library – reuse Day 1 skills

All prompts follow Day 1 structure: Role + Task + Context + Format.

Blog intro

"Write an engaging introduction for a blog post titled '{{title}}'. Target audience: {{audience}}. Use a hook, state the problem, and preview solutions."

Blog conclusion

"Write a conclusion that summarises key points and includes a soft CTA to book a consultation."

Twitter hook

"Create 3 attention-grabbing tweets (under 280 chars) for this topic: {{topic}}. Use curiosity gaps."

LinkedIn engagement

"Write a LinkedIn post that ends with a poll question about {{topic}} to boost engagement."

Email subject line

"Generate 10 email subject lines for a newsletter about {{topic}}. Mix of curiosity, benefit, and urgency."

Case study

"Write a 1-paragraph case study showing how {{client}} achieved {{result}} using {{product}}. Include specific numbers."

FAQ generator

"Based on this blog post, generate 5 FAQs with answers that a {{audience}} would ask."

Meta description

"Write an SEO meta description (under 160 chars) for this blog post including keywords: {{keywords}}."

Shared link: These prompts are modular – mix and match for any content need.

Detailed practice exercises

📝 Exercise 1: Build blog pipeline

Task: Create a Make scenario that takes a topic from Google Sheets, generates outline → full post → saves to another sheet.

Test data: Topic = "10 ways AI automates customer support", Audience = "Support managers"

Deliverable: Screenshot of generated post.

🐦 Exercise 2: Social repurposer

Task: Use the post from Exercise 1 as input. Generate Twitter thread, LinkedIn post, Instagram caption. Save to Airtable.

Bonus: Add a step to generate an image with DALL-E.

📧 Exercise 3: Segment-based email

Task: Create a sheet with 3 lead segments (real estate, SaaS, e-commerce). For each, generate a personalised newsletter using AI. Send to yourself via Gmail.

Deliverable: Forward the 3 emails to your instructor.

🔄 Exercise 4: Connect to Day 9

Task: Take a lead from Day 9's sequence and use their BANT data to generate a personalised follow-up email (instead of generic).

📊 Exercise 5: Content calendar

Task: Build a scheduler that every Monday generates 1 blog post, 5 social posts, and 1 newsletter – all saved to a content calendar sheet.

🌐 Exercise 6: Multi-language

Task: Add language detection (from Day 8) to generate content in Spanish for leads with language = 'es'.

📄 Client documentation – AI content engine

✍️ AI Content Engine – System Overview

What it does: Automatically generates blog posts, social media content, and email campaigns based on your topics and lead data.

Inputs: Google Sheet with topics, keywords, audience. Optional: lead data from CRM.

Outputs: WordPress drafts, Buffer queue, email drafts in HubSpot.

Content types:

Blog posts: 1500+ words with outline, images, SEO meta
Social: Twitter thread (5 tweets), LinkedIn post, Instagram caption + hashtags
Email: Personalised newsletters by segment

Quality control: All content saved to Google Sheet for review before publishing.

Pricing: $1,500 setup + $300/mo (includes AI costs for up to 50 pieces/month)

⚠️ Pitfalls & how to avoid them

Generic content: Always inject lead data (industry, pain point) into prompts – reuse Day 8 data.
No human review: Always save drafts to a sheet for client approval before publishing.
Ignoring brand voice: Add "Use {{brand}} voice guidelines" to system prompt (provide examples).
Cost runaway: Set max_tokens low for social posts, use gpt-3.5-turbo, cache outlines.

📚 Resources

OpenAI best practices for prompt engineering — Official guide on writing effective prompts for AI models. :contentReference[oaicite:0]{index=0}
WordPress REST API developer handbook — Official REST API documentation for WordPress developers. :contentReference[oaicite:1]{index=1}
Hootsuite API documentation — Official reference for integrating with Hootsuite’s API. :contentReference[oaicite:2]{index=2}>
HubSpot email marketing API guide — Official HubSpot developer docs for marketing email API. :contentReference[oaicite:3]{index=3}
Prompt library – extended content prompts — Community prompt library with diverse examples.
Content repurposing strategy guide — Practical guide on repurposing content across channels.

Day 10: You built a complete AI content engine

✔ Blog post generator with outline → draft → WordPress
✔ Social repurposer (Twitter, LinkedIn, Instagram)
✔ Personalised email campaigns from lead segments
✔ 20+ reusable prompts
✔ Connected to Days 8-9 for personalised content
✔ 6 detailed practice exercises