2025-12-15
Trajectory Variation: AI Writing Books Until We Nail It
#idea-banking#variation#ai-writing#scaling#iteration
Trajectory Variation at Scale
The idea: Write out ALL ideas. Catalog them. Structure them into books in a digital library. Then have AI write and rewrite those books every day — iterating on idea-space until it converges with implementation-space.
The Problem
┌─────────────────────────────────────────────────────────────────┐
│ THE GAP │
├─────────────────────────────────────────────────────────────────┤
│ │
│ IDEA SPACE IMPLEMENTATION SPACE │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ │ │ │ │
│ │ Concepts │ GAP │ Code │ │
│ │ Visions │ <──────────────> │ Systems │ │
│ │ Intuitions │ │ Products │ │
│ │ │ │ │ │
│ └─────────────┘ └─────────────┘ │
│ │
│ The gap is where ideas die. │
│ Most concepts never become implementations. │
│ Most implementations drift from original concepts. │
│ │
└─────────────────────────────────────────────────────────────────┘
The Solution
┌─────────────────────────────────────────────────────────────────┐
│ TRAJECTORY VARIATION │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. WRITE OUT ALL IDEAS │
│ Every idea gets written down. │
│ Even 1-line tl;dr in a readme.md. │
│ No filtering. No "is this good enough?" │
│ │
│ 2. CATALOG AT SCALE │
│ Structure ideas into hierarchies. │
│ Tag, relate, cross-reference. │
│ Build a browsable idea-space. │
│ │
│ 3. ASSEMBLE INTO BOOKS │
│ Group related ideas into "books" (structured docs). │
│ Each book is a coherent collection. │
│ Books live in the digital library. │
│ │
│ 4. AI REWRITES DAILY │
│ Every day, AI regenerates the books. │
│ New variations. New structures. New synthesis. │
│ Track trajectories across rewrites. │
│ │
│ 5. REPEAT UNTIL WE NAIL IT │
│ The books get better each iteration. │
│ Ideas converge toward implementation. │
│ What survives becomes real. │
│ │
└─────────────────────────────────────────────────────────────────┘
The Hierarchy
┌─────────────────────────────────────────────────────────────────┐
│ IDEA SPACE STRUCTURE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ LIBRARY │
│ │ │
│ ├── BOOK: AI Infrastructure │
│ │ ├── CHAPTER: Repo as World State │
│ │ ├── CHAPTER: The Function Graph │
│ │ ├── CHAPTER: Multi-Agent Collaboration │
│ │ └── CHAPTER: AI-Native Documentation │
│ │ │
│ ├── BOOK: Scaling Patterns │
│ │ ├── CHAPTER: Trajectory Variation │
│ │ ├── CHAPTER: Idea Banking │
│ │ ├── CHAPTER: Variation Competition │
│ │ └── CHAPTER: Convergence Points │
│ │ │
│ ├── BOOK: Implementation Frameworks │
│ │ ├── CHAPTER: Tier Hierarchy │
│ │ ├── CHAPTER: Session-Based Work │
│ │ ├── CHAPTER: Decision Authority │
│ │ └── CHAPTER: Pattern Libraries │
│ │ │
│ └── [N more books...] │
│ │
│ Each book is rewritten daily. │
│ Each chapter is a standalone idea. │
│ Each idea links to implementations. │
│ │
└─────────────────────────────────────────────────────────────────┘
The Daily Loop
┌─────────────────────────────────────────────────────────────────┐
│ DAILY ITERATION CYCLE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ DAY 1 │
│ ┌────────────────────────────────────────────┐ │
│ │ AI writes Book v1 │ │
│ │ - Synthesizes existing ideas │ │
│ │ - Generates structure │ │
│ │ - Creates connections │ │
│ └────────────────────────────────────────────┘ │
│ │ │
│ v │
│ DAY 2 │
│ ┌────────────────────────────────────────────┐ │
│ │ AI rewrites Book v2 │ │
│ │ - Reviews v1 output │ │
│ │ - Identifies gaps/inconsistencies │ │
│ │ - Generates variations │ │
│ │ - Improves structure │ │
│ └────────────────────────────────────────────┘ │
│ │ │
│ v │
│ DAY N │
│ ┌────────────────────────────────────────────┐ │
│ │ AI rewrites Book vN │ │
│ │ - Accumulated learning from v1..v(N-1) │ │
│ │ - Converging toward coherence │ │
│ │ - Approaching implementation-ready │ │
│ └────────────────────────────────────────────┘ │
│ │ │
│ v │
│ CONVERGENCE │
│ ┌────────────────────────────────────────────┐ │
│ │ Book becomes implementation spec │ │
│ │ Idea-space aligns with implementation │ │
│ │ What survives becomes real │ │
│ └────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
Trajectory Tracking
┌─────────────────────────────────────────────────────────────────┐
│ TRACKING IDEA EVOLUTION │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Each idea has a trajectory: │
│ │
│ IDEA: "AI-native documentation" │
│ │
│ v1 (Day 1) ──> "Docs should be AI-readable" │
│ │ │
│ v │
│ v2 (Day 3) ──> "AGENTS.md as onboarding protocol" │
│ │ │
│ v │
│ v3 (Day 7) ──> "Decision authority matrix" │
│ │ │
│ v │
│ v4 (Day 14) ──> "Pattern library for autonomous actions" │
│ │ │
│ v │
│ v5 (Day 21) ──> "Session-based architecture" │
│ │ │
│ v │
│ IMPLEMENTATION: Full AGENTS.md spec with 23 checkpoints │
│ │
│ The trajectory shows how ideas evolve through iteration. │
│ Each version is preserved. Learning compounds. │
│ │
└─────────────────────────────────────────────────────────────────┘
Variation at Scale
┌─────────────────────────────────────────────────────────────────┐
│ GENERATING VARIATIONS │
├─────────────────────────────────────────────────────────────────┤
│ │
│ For each idea, generate N variations: │
│ │
│ IDEA: "How to structure a code library" │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Variation 1 │ │ Variation 2 │ │ Variation 3 │ │
│ │ │ │ │ │ │ │
│ │ Flat list │ │ Hierarchical│ │ Graph-based │ │
│ │ + tags │ │ + tree nav │ │ + relations │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │
│ └────────────────┼────────────────┘ │
│ v │
│ ┌─────────────┐ │
│ │ COMPETITION │ │
│ │ │ │
│ │ Test against│ │
│ │ KPIs │ │
│ └─────────────┘ │
│ │ │
│ v │
│ ┌─────────────┐ │
│ │ WINNER │ │
│ │ │ │
│ │ Graph-based │ │
│ │ + hierarchy │ │
│ │ (hybrid) │ │
│ └─────────────┘ │
│ │
│ Losers aren't discarded — they inform future variations. │
│ │
└─────────────────────────────────────────────────────────────────┘
The Alignment
┌─────────────────────────────────────────────────────────────────┐
│ IDEA SPACE ←→ IMPLEMENTATION SPACE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Through daily iteration: │
│ │
│ IDEA SPACE IMPLEMENTATION SPACE │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ │ │ │ │
│ │ Book v1 │ ──────────────────>│ Prototype │ │
│ │ │ │ │ │
│ └─────────────┘ └─────────────┘ │
│ │ │ │
│ v v │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ │ │ │ │
│ │ Book v5 │ ──────────────────>│ MVP │ │
│ │ │ │ │ │
│ └─────────────┘ └─────────────┘ │
│ │ │ │
│ v v │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ │ │ │ │
│ │ Book vN │ ═══════════════════│ Production │ │
│ │ │ ALIGNED │ │ │
│ └─────────────┘ └─────────────┘ │
│ │
│ The gap closes through iteration. │
│ Ideas become specs become implementations. │
│ │
└─────────────────────────────────────────────────────────────────┘
Why This Works
- Nothing is lost — All ideas are captured, even half-formed ones
- AI scales the iteration — Humans can't rewrite 100 books daily; AI can
- Variation finds optima — Multiple approaches compete; best survives
- Trajectories show progress — You can see how ideas evolved
- Convergence is inevitable — Daily iteration compounds toward implementation
The Formula
Write everything
+
Catalog at scale
+
Structure into books
+
AI rewrites daily
+
Track trajectories
=
Ideas converge to implementations
Meta-Example: This Article Writing Itself
This article was written using the process it describes. Here's the proof:
┌─────────────────────────────────────────────────────────────────┐
│ THE PROCESS WE JUST USED │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. WROTE THE IDEA │
│ First draft of "Trajectory Variation" concept │
│ │
│ 2. GENERATED VARIATIONS │
│ AI analyzed every word for rhetorical alignment │
│ Found 50+ instances of "system" (overused) │
│ Found 20+ instances of "build" (generic) │
│ Found 15+ instances of "innovation" (corporate) │
│ │
│ 3. PRODUCED 5 ALTERNATIVES PER WORD │
│ "system" → machine | engine | organism | apparatus │
│ "build" → forge | construct | compose | synthesize │
│ "innovation" → emergence | synthesis | generation | mutation│
│ "iterate" → cycle | evolve | refine | regenerate │
│ "converge" → align | crystallize | coalesce | resolve │
│ │
│ 4. DOCUMENTED THE PROCESS │
│ This section you're reading now │
│ │
│ 5. PUBLISHED THE META-LAYER │
│ The article about the process includes the process │
│ │
└─────────────────────────────────────────────────────────────────┘
The Word Alignment Map
During the writing of this article, AI generated a rhetorical alignment map:
┌─────────────────────────────────────────────────────────────────┐
│ ALIGNMENT: USER INTENT ←→ WORD CHOICE │
├─────────────────────────────────────────────────────────────────┤
│ │
│ PROBLEM VARIATIONS │
│ ───────────────────────────────────────────────────────────── │
│ │
│ "perpetual" continuous | unceasing | recursive │
│ (overused) self-sustaining | endless │
│ │
│ "idea space" concept field | thought topology │
│ (vague) notion landscape | ideation manifold│
│ │
│ "implementation space" execution domain | code reality │
│ (jargon) artifact layer | build substrate │
│ │
│ "nail it" resolve | crystallize | finalize │
│ (casual) lock in | converge │
│ │
│ "run the world" power production | drive infra │
│ (vague) underpin software | operate globally│
│ │
└─────────────────────────────────────────────────────────────────┘
Why This Matters
┌─────────────────────────────────────────────────────────────────┐
│ THE ARTICLE IS THE PROCESS │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Traditional writing: │
│ ──────────────────── │
│ Write → Edit → Publish → Done │
│ │
│ Trajectory variation: │
│ ───────────────────── │
│ Write → AI analyzes → Generate variations → Select best │
│ ↑ │ │
│ └──────────────────────────────────────────────┘ │
│ (repeat daily) │
│ │
│ ──────────────────────────────────────────────────────────── │
│ │
│ The meta-insight: │
│ │
│ If the article can improve itself using its own ideas, │
│ then the ideas are real — not just theory. │
│ │
│ This section exists because we applied trajectory variation │
│ to the article about trajectory variation. │
│ │
│ Self-reference is proof of concept. │
│ │
└─────────────────────────────────────────────────────────────────┘
The Takeaway
The best documentation of a process is the process applied to itself.
This article will continue to be rewritten. Each version will be better than the last. The word alignment map above will be applied, alternatives will be selected, and the article will converge toward its clearest expression.
You're reading a snapshot of that trajectory.
This Is The Library
This website — cameronhynes.ai — is the implementation of this idea.
┌─────────────────────────────────────────────────────────────────┐
│ THE DIGITAL LIBRARY │
├─────────────────────────────────────────────────────────────────┤
│ │
│ • Ideas are written as markdown files │
│ • Cataloged with tags, relations, lenses │
│ • Structured into browsable collections │
│ • AI iterates on them over time │
│ • What survives becomes shareable │
│ │
│ This idea-bank entry is itself part of the process. │
│ │
└─────────────────────────────────────────────────────────────────┘
Published to the Digital Library. Rewritten by AI. Iterated until convergence.