← IDEAS IN MOTION

400 PAGES
ZERO AMBIGUITY

Complete business architecture for a cryptocurrency portfolio management system. Documentation that enables one-and-done implementation of complex financial logic.

[ precision accumulation ]
specifications clustering
toward completeness
110-130 hours crystallized

Financial accuracy at scale

[REDACTED] needed a portfolio management dashboard for their cryptocurrency advisory business. Not a prototype. Not an MVP. A production system handling real client money where calculation errors directly impact revenue.

The complexity: lot-level tracking with FIFO accounting. Each cryptocurrency purchase creates an independent lot with its own 3-year performance fee window. The system must reduce lots using First-In-First-Out methodology while tracking which specific lots have doubled in value.

The constraint: Developer handoff to Claude Code (LLM), not human developers. Every business rule, every edge case, every architectural decision needed explicit documentation. No shortcuts. No gaps.

400
pages produced
across 19 comprehensive documents
20,088
lines of markdown
every business rule documented
5:1
spec to code ratio
industry standard: 1:1 to 2:1
110-130h
time invested
more than the 87-89h build itself
19
document types
architecture to implementation
0
ambiguous decisions
clarity enabling execution

What 400 pages enables

One-and-done implementation. LLM developers can execute complex financial logic without human intervention because every decision is documented. No back-and-forth. No clarification cycles.

Future maintainability. When business rules change, documentation provides the context needed to understand why current logic exists and what constraints must be preserved.

Audit trail. Financial systems require explaining why calculations produce specific results. Documentation maps business rules to technical implementation.

The difference between prototype thinking and production thinking: prototypes test if something can work. Production systems document why it works and what happens when edge cases emerge.

Document architecture

19 specialized documents covering business requirements, data models, API specifications, calculation logic, error handling, testing requirements, and implementation guidance.

Each document serves a specific purpose in the handoff chain. Business logic documents explain what the system must do. Technical specifications explain how to build it. Implementation guides connect business rules to code structure.

The result: 20,088 lines of markdown that function as invisible scaffolding for 4,000 lines of production code.

TUKU produced comprehensive documentation knowing an LLM would execute the build. This required questioning whether traditional documentation approaches serve LLM-human handoffs.

The generative art visualizes the documentation process: 2,500 specification points gravitating toward three knowledge centers (business logic, technical architecture, implementation details). Each point represents a documented decision. Clusters form where specifications accumulate around core concepts. Gold traces mark high-precision areas requiring exhaustive detail. Blue paths show supporting documentation that connects concepts.

Over 180 simulation steps, the field evolves from scattered requirements to structured knowledge, mirroring how 110-130 hours of specification work crystallizes business complexity into implementable architecture.

When documentation accumulates with this level of precision, implementation becomes execution rather than interpretation. LLMs can build production systems because ambiguity has been removed through exhaustive specification.

Cost vs. value analysis

Time investment: 110-130 hours of documentation exceeded the 87-89 hour build. Traditional wisdom suggests this is inefficient.

Reality: Zero clarification cycles. Zero rework. Zero bugs from misunderstood requirements. One-and-done implementation of complex financial logic handling real client money.

The real ROI: Confidence. System handles $100K-$500K portfolios with calculation accuracy that directly impacts revenue. Maintainability. Future developers understand why decisions were made. Scalability. Documentation enables adding features without breaking existing logic.