Content Atomization

Content Atomization — Content Atomization Methodology

Specialist content decomposition knowledge used by the source-analyst and presentation-builder agents when analyzing sources and developing conversion strategies.

Why Atomization?

Repurposing is not "rewriting the same thing." It's breaking the source into atomic units and recombining them for each platform. A 2,000-word blog post can yield 30+ independent content pieces.

Content Atom Classification System

Atom Type	Definition	Extraction Example	Convertible Formats
Claim	A verifiable assertion	"Remote work increases productivity by 13%"	Tweet, card, slide
Data	Numbers, statistics, ratios	"2024 AI market size: $184B"	Infographic, chart, tweet
Story	Person/event-based narrative	"Company A's transformation case"	Thread, carousel, video script
Process	Step-by-step methodology	"5-step OKR setting method"	Guide, carousel, checklist
Quote	Citations, aphorisms	"'Failure is the mother of success'"	Text card, tweet, slide
Question	Thought-provoking questions	"What time is your team most productive?"	Poll, comment prompt, opening
Contrast	Comparisons	"Traditional vs. Agile methodology"	Comparison table, carousel, infographic
Definition	Concept definitions	"What is OKR?"	Educational content, slide, short-form

Source Analysis Process: The MINE Framework

M — Map (Structure Mapping)

Visually map the source's structure:

Source Content
├── Introduction
│   ├── [Claim] Core assertion
│   └── [Data] Supporting data
├── Body 1
│   ├── [Definition] Concept definition
│   ├── [Process] Methodology
│   └── [Story] Case study
├── Body 2
│   ├── [Contrast] Comparative analysis
│   ├── [Data] Statistics
│   └── [Quote] Expert citation
└── Conclusion
    ├── [Claim] Final assertion
    └── [Question] Question for the reader

I — Identify (Core Atom Identification)

Assign a reuse value score to each atom:

Criterion	Weight	Description
Independence	30%	Does it make sense without context?
Emotional Response	25%	Does it trigger surprise/empathy/outrage?
Shareability	25%	Is it information worth passing along?
Visualizability	20%	Can it be expressed as a graph/image?

N — Negotiate (Conversion Priority)

Set conversion priority by reuse value score:

Top 20%: Convert for all platforms (core messages)
Middle 50%: Convert for 2–3 suitable platforms
Bottom 30%: Keep in blog/long-form only, skip short-form conversion

E — Extend (Augmentation)

Add elements not in the source but needed for conversion:

Visual assets: If the source is text-only, add charts/diagrams
Personalization: If the source is objective, add experience/opinion layers
Action items: If the source is analytical, add actionable steps
Updates: If the source has outdated data, replace with current information

Presentation Conversion Formula

Slide Count Estimation

Recommended slides = (Presentation time in minutes × 1.5) + 3

- +3: Cover (1) + Table of Contents (1) + Q&A (1)
- ×1.5: ~40 seconds per slide

Slide Type Templates

Type	Text Amount	Visual Ratio	Use Case
Title	Title + subtitle	100% background image	Section dividers
Key Message	1 sentence	70%	Core claim emphasis
Data	Labels only	80% chart/graph	Statistics, comparisons
Process	Step names only	70% flowchart	Methodology, steps
Comparison	2-column table	50%	A vs B
Quote	Quote + source	Speaker image	Authority/emotion
Story	3–4 sentences	50% related image	Cases, anecdotes

The 1:10:30 Rule

1 core message: The single claim the entire presentation delivers
10 or fewer supporting points: Arguments backing the core message
30 minutes or less: Attention limit (beyond this, interactive breaks are mandatory)

Conversion Efficiency Metrics

Source Type	Expected Atoms	Expected Derivative Content
2,000-word blog	15–25	8 tweets + 2 carousels + 15 slides + 3 short-form
5,000-word report	30–50	3 blogs + 5 carousels + 25 slides + 2 newsletters
30-min interview	20–30	5 clips + 10 tweets + 1 blog + 3 carousels
60-min talk	40–60	3 blogs + 5 carousels + 15 tweets + 2 newsletters

README