Build a Modular Content Operating System Using the Lego Brick Method
Marketing AutomationadvancedClaude 3.5 Sonnet for strategic framework design and detailed workflow mapping. GPT-4o as secondary for rapid template generation and tool recommendations. Claude excels at systems thinking and multi-step workflows; GPT-4o is faster for tactical implementation details.
When to Use This Prompt
Use this prompt when you're ready to move beyond manual content repurposing and want to build a scalable system where one hero piece generates 10+ finished assets automatically. It's ideal for teams with 2+ people spending significant time on content adaptation, or when you need to increase output without proportionally increasing headcount.
The Prompt
You are a content operations strategist helping me build a modular, scalable content system using the Lego brick method. This approach breaks content into reusable atomic components rather than creating each piece from scratch.
## Context
I need to transform how my team creates and distributes content. Currently, we:
- Create hero content (e.g., [HERO_CONTENT_TYPE: blog post, whitepaper, webinar]) from scratch each time
- Manually repurpose it into [NUMBER_OF_CHANNELS: 3-5] different formats
- Have knowledge trapped with individual team members, creating bottlenecks
- Spend [TIME_PER_PIECE: X hours] per content piece across all formats
## The Lego Brick Framework
Instead of starting from scratch, I want to:
1. Create modular content components (the "bricks"): core insights, data points, quotes, case studies, frameworks
2. Build a reusable library of these components
3. Assemble different finished pieces (LinkedIn posts, tweets, email sequences, partner content) from the same brick library
4. Automate the assembly and distribution process
## Your Task
Create a detailed content pipeline automation strategy that includes:
### 1. Component Mapping
Identify the 8-12 core content bricks we should extract from a [HERO_CONTENT_TYPE] about [TOPIC]. For each brick, specify:
- Component name and description
- Ideal length (word count or character limit)
- Formats it can be used in
- SEO/distribution value
### 2. Assembly Templates
Provide 5 specific templates for assembling bricks into finished content:
- [CHANNEL_1] post template (structure, tone, length)
- [CHANNEL_2] post template
- [CHANNEL_3] post template
- [CHANNEL_4] post template
- [CHANNEL_5] post template
For each template, show exactly which bricks combine to create it, and provide a sample assembly.
### 3. Automation Workflow
Design a step-by-step workflow that shows:
- Where AI tools extract/generate bricks from hero content
- Where humans review and approve
- Where AI assembles finished pieces
- Where distribution happens
- Estimated time savings vs. manual approach
### 4. Tool Stack Recommendation
Suggest specific tools for:
- Brick extraction and storage
- Template management
- Assembly automation
- Distribution and scheduling
- Performance tracking
### 5. Implementation Roadmap
Provide a 4-week implementation plan:
- Week 1: [specific actions]
- Week 2: [specific actions]
- Week 3: [specific actions]
- Week 4: [specific actions]
Include team roles, success metrics, and risk mitigation.
## Output Format
Structure your response with clear sections matching the tasks above. Use tables where helpful. Provide concrete examples using [EXAMPLE_TOPIC] so I can see exactly how this works.
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Tips for Best Results
- 1.Start with one hero content piece and extract 10-15 bricks manually first. This teaches you what granularity works before automating extraction. Document the process so AI can replicate it.
- 2.Create a 'brick library' spreadsheet with columns for brick name, content, character count, best channels, and performance data. This becomes your single source of truth and improves AI assembly accuracy over time.
- 3.Test each assembly template with real content before automating. Have a human review the first 5 AI-assembled pieces per template to catch tone/brand misalignment before full automation.
- 4.Measure success by comparing time-to-publish and engagement rates before/after. Track which brick combinations perform best—this data improves your templates and guides future content strategy.
Example Output
## Component Mapping for "The Future of AI in Marketing" Whitepaper
### Core Content Bricks
1. **The 3-Stat Hook** (45 words)
- "72% of marketers report AI improved campaign efficiency by 40%"
- Used in: LinkedIn posts, email subject lines, tweet threads
- SEO value: High (data-driven)
2. **The Framework Explainer** (120 words)
- Step-by-step breakdown of the 4-stage AI adoption model
- Used in: Blog posts, LinkedIn carousels, webinar slides
- SEO value: High (long-form, keyword-rich)
3. **The Founder Quote** (30 words)
- "AI isn't replacing marketers—it's replacing mediocre marketing"
- Used in: Social media, email signatures, partner newsletters
- SEO value: Medium (brand authority)
4. **The Case Study Snippet** (80 words)
- How Brand X increased content output 3x while reducing costs
- Used in: LinkedIn posts, email nurture sequences, sales enablement
- SEO value: Medium (social proof)
## Assembly Template: LinkedIn Post
**Structure:** Hook (Brick #1) + Framework (Brick #2, first 2 steps) + CTA
**Tone:** Professional, thought-leading
**Length:** 200-250 words
**Sample Output:**
"72% of marketers report AI improved campaign efficiency by 40%—but most are still using it wrong.
The best performers follow a 4-stage adoption model:
1️⃣ **Awareness** — Understanding what AI can actually do (not sci-fi)
2️⃣ **Experimentation** — Testing on low-stakes content first
The teams that skip to stage 4 immediately? They fail. Hard.
We've seen this play out with 50+ brands. The winners are methodical.
What stage is your team in? Drop a comment below."
## Automation Workflow
**Week 1:** Extract bricks from whitepaper → Store in Airtable
**Week 2:** Create templates in Claude/ChatGPT → Test assembly
**Week 3:** Set up Zapier automation for scheduling
**Week 4:** Measure output velocity and ROI
**Time Savings:** From 8 hours per piece to 2 hours (75% reduction)
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Courses, workshops, frameworks, daily intelligence, and 6 proprietary tools — built for marketing leaders adopting AI.
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