AI-Ready CMO

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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