The AI Content Library
We introduce the Lego Brick Method — a simple way to build a content operating system that compounds value, rather than starting from scratch every time. We demonstrate live how to extract "atomic components" (reusable building blocks of meaning) from existing content and transform them into a content memory that powers emails, LinkedIn posts, PR articles, and more, all grounded in your business context.
Key Takeaways
Stage 1: Manual content ops = every asset built from scratch.
Stage 2: AI-assisted ops = faster, but still linear and missing context.
Stage 3: Lego Brick Method = build a library of reusable content atoms for perfect context management.
Atoms are the smallest reusable units of meaning (stats, quotes, analogies, proofs) that remain valid for 6+ months.
Once extracted, these atoms can be mixed and matched across channels to generate consistent, high-quality outputs.
Why This Method Matters
Instead of reinventing content each time, the Lego Brick Method creates content capital: a growing library of reusable proof points, insights, and positioning.
Every new asset compounds your system. Faster workflows, stronger consistency, and AI that is always grounded in your business.
Atom Extraction Prompt
In the next prompt, I will give you links to articles. Your task is to extract foundation-level atomic components from the text of these and categorize them according to a strict taxonomy. WHAT IS AN ATOMIC COMPONENT? An atomic component (or "atom") is the smallest self-contained unit of reusable meaning in content. Think of atoms as Lego bricks - individual pieces that can be combined in different ways to build different structures. Atoms are: Complete thoughts that stand alone (5-30 words). Specific claims, facts, or insights that carry value independently. Building blocks that can be reassembled in multiple contexts. The "quotable moments" that define your brand. Atoms are NOT: Full paragraphs or complete sections. Vague statements like "we deliver value." Transitional phrases or connective tissue. Context-dependent content that needs explanation. EXTRACTION CRITERIA: 1. Must pass the "6-month test" 2. Must be self-contained and meaningful without context 3. Must be 5-30 words 4. NO temporal content (dates, "recently," "now," "this quarter") 5. NO campaign-specific content (promotions, events, limited offers) TAXONOMY: Audience Categories: Technical (developers, engineers, IT), Executive (C-suite, VPs, budget holders), Practitioner (end users, managers, operators), General (universally applicable) Function Categories: Evidence (statistics, metrics, data points), Problem (pain points, challenges, gaps), Solution (methods, capabilities, approaches), Story (transformations, analogies, journeys), Authority (credentials, certifications, expertise) OUTPUT FORMAT: List each atom as — Content: [phrase] | Audience: [category] | Function: [category]. Put the atoms in a CSV file with headers Content, Audience, Function.
Email Sequence Prompt
You will create a 3-email nurture sequence using foundation atoms and fresh campaign context. INPUTS: Foundation Atoms (provided between <ATOMS> tags) pre-filtered as Audience: Practitioner, Function: Problem OR Solution. Campaign Context (provided between <CONTEXT> tags) with fresh information about current campaign/launch/news. EMAIL SEQUENCE STRUCTURE: Email 1: Problem Awareness — Lead with Problem atoms to establish pain points. Connect to campaign context to show timeliness. Soft introduction to solution. Email 2: Solution Exploration — Bridge from problem to solution using Solution atoms. Incorporate specific campaign details. Include evidence or examples from atoms. Email 3: Clear Next Step — Reinforce key Solution atoms. Strong campaign-specific CTA. Create urgency from campaign context. Address common objections. REQUIREMENTS: Each email 150-250 words. Use at least 2 different foundation atoms per email. Don't use the same atom more than twice across all emails. Atoms should feel natural, not forced.
CEO LinkedIn Post Prompt
You will create a LinkedIn post from the CEO perspective using foundation atoms and fresh campaign context.
INPUTS: Foundation Atoms pre-filtered as Audience: Executive, Function: Problem, Solution, OR Evidence.
POST STRUCTURE: Opening: Strong hook that challenges conventional thinking (use Problem atom if available). Middle: Connect to bigger picture using Solution or Evidence atoms, weaving in campaign context naturally. Close: Thought-provoking question or call for discussion (not a sales pitch).
REQUIREMENTS: Length 150-300 words. Use 2-3 foundation atoms maximum. Tone: Confident but not arrogant, insightful but accessible. End with engagement driver. NO direct sales language — this is thought leadership. First person ("I've noticed..." or "We've learned...").PR Article Prompt
You will create a paid PR article for an industry trade publication using foundation atoms and fresh campaign context. INPUTS: Foundation Atoms pre-filtered as Audience: Practitioner OR Technical, Function: Evidence, Solution, Problem, OR Authority. ARTICLE STRUCTURE: Headline: Compelling, benefit-driven, industry-focused (not brand-focused). Opening (100 words): Industry challenge or trend using Problem/Evidence atoms. Body Section 1 (150 words): Explore the problem/opportunity in depth with industry data. Body Section 2 (150 words): Present solutions and approaches using Solution atoms. Body Section 3 (100 words): Real-world application and case examples. Closing (50 words): Forward-looking perspective and key takeaway. REQUIREMENTS: Total 550-650 words. Use 4-5 foundation atoms. Educational value must outweigh promotional content (80/20 rule). Company mentions: Maximum 2, must feel natural.
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