SSoT -- String Seed of Thought

What problem does it solve?

SSoT prevents LLM “modal collapse” by turning each discretionary generation decision into one selected by runnably-derived randomness plus a reviewer-verifiable provenance trail.

Core Features & Use Cases

• Real-seed generation: Requires a true entropy seed (e.g., via openssl rand) before any creative choice is made.
• Seed-to-decision arithmetic: Maps non-overlapping hex slices to 0-indexed axis indices using explicit modulo calculations.
• Mandatory provenance block: Enforces a structured, versionable record of seed, indices, resolved candidates, and any permitted overrides to catch “ceremonial SSoT.”
• Use Case: When writing creative copy (openers, metaphors, structures, rhythms, POV distances, climax shapes), SSoT produces outcome diversity that a reviewer can re-run and validate.

Quick Start

Ask an AI to generate a draft using SSoT by first producing a real hex seed, enumerating the required candidate axes for your piece, then mapping the seed to axis indices with modulo arithmetic and writing the provenance block before the prose.