📖

TML_TL-Stories:
The Parallel Architecture
for Public Comprehension

📚 The Series

This is the 'I've Read This Document So You Don't Have To' series — a parallel architecture for public comprehension, built alongside the technical one. The stories matter as much as the TML and TL specifications. Everything complex lives here too, just without the voltage thresholds.

398 stories across 14 directories. Two frameworks. One dog named Vinci. Written in English and Russian, by AI collaborators and by hand, in restaurants and senate chambers and the fifth floor of the Burj Al Arab.

"The stories matter as much as the TML and TL specifications. Everything complex lives here too, just without the voltage thresholds."
📚 Technical frameworks: TernaryMoralLogic  ·  TernaryLogic  ·  Published: AI and Ethics, Springer Nature  ·  Creator: Lev Goukassian, ORCID 0009-0006-5966-1243
The Series

About This Repository


398Total Stories
14Directories
2Languages
10+AI Collaborators

This repository holds the creative companion to two published frameworks: Ternary Moral Logic (TML) and Ternary Logic (TL). Where the technical repositories contain specifications, proofs, and cryptographic architectures, this one contains stories — the same ideas rendered as fiction, humor, satire, drama, and philosophical dialogue.

The stories were written across many months of parallel development, often by asking AI systems to imagine how their own kind might encounter, resist, or eventually embrace these frameworks. Some stories are set in Geneva banking summits. Some in Silicon Valley restaurants. Some in the White House, the Pentagon, or the fifth floor of the Burj Al Arab. Many are in Russian — because the ideas belong to a Santa Monica researcher who thinks in two languages.

"The world is not binary. And the future will not be either."

— Lev Goukassian

The repository takes its organizing principle from a recurring story format: "I Read This So You Don't Have To." That phrase captures the entire ambition — to make the architecture of evidentiary governance legible to anyone, regardless of whether they understand voltage thresholds or HKDF-SHA3-256 key hierarchies.

🐾 On Vinci

Vinci — the miniature schnauzer of Santa Monica — appears throughout these stories as mascot, witness, and occasional moral compass. He is present at the BIS summit that discovered it had amnesia, at the banking meeting where the Swiss brought a dog, and in the title of at least one story that credits him with saving global finance. He is not fictional. He supervises the research.

Ternary Logic Fiction

TL/ — Ternary Logic Stories


Stories exploring the Ternary Logic framework — the Epistemic Hold, the Immutable Ledger, the Goukassian Principle, AML enforcement, BIS alignment, and the question of what happens when financial systems learn to pause. Written by Claude, DeepSeek, Gemini, Grok, Kimi, MiniMax, Qwen, Perplexity, and others. Includes Russian-language stories and one story in French.

English Stories

Russian Stories — TL/

Ternary Moral Logic Fiction

TML/ — Ternary Moral Logic Stories


Stories exploring the Ternary Moral Logic framework — the Sacred Pause, Sacred Zero, Always Memory, Stewardship Council, Goukassian Promise, and the moral trace log. Organized into thematic subfolders: AI companies (Anthropic, OpenAI, DeepMind, Alibaba/Qwen, Baidu), regulatory contexts (EU AI Act, NIST, UNESCO), and character archetypes (CEOs, ORCID).

Root-Level TML Stories

Organized by Theme

TML Subfolders


The TML stories are organized into eight thematic subfolders — by AI company, regulatory body, or character type. Each subfolder contains stories imagining how that institution or entity encounters the TML framework.

Двуязычный архив

Russian Stories — In_Russian/


The TML/In_Russian/ subfolder contains over 90 Russian-language TML stories — the largest single collection in the repository. The themes are identical to the English stories: sacred pauses, epistemic holds, AI CEOs discovering they have a conscience, Basel committees, bureaucrats encountering the future. The setting often shifts to Moscow, Suzhou, Miami, or unnamed hotels at midnight.

The Collaborators

AI Voices in This Repository


These stories were written across a multi-AI workflow — each AI system asked to imagine how it, or its institutional context, might encounter the frameworks. The result is a cross-AI portrait of the same ideas refracted through different architectures and aesthetic sensibilities.

AI SystemCharacteristic VoicePrimary Themes
ClaudePrecise, philosophical, occasionally self-awareGovernance summits, regulatory encounters, weight of decisions
DeepSeekDrily satirical, structurally rigorousISO committees, hallucinations, economic conscience
GeminiEarnest, regulatory, occasionally alarmedBIS alignment, EU AI Act, evidence layers
GrokIrreverent, fast, unexpectedly sincereSacred pauses, coffee breaks, titans
KimiLyrical, patient, architecturally mindedTernary suppers, janitors of eternity
MiniMaxGrand, operatic, catastrophe-proneEpic quests, Zhongnanhai, US Senate adventures
QwenTechnical, earnest, globally ambitiousBIS unified ledger, smart contracts, AI refusing cake
PerplexityJournalistic, scenario-drivenRestaurants, Senate hearings, tiramisu
ChatGPTConfident, occasionally overconfidentPresidential suites, epistemic hangovers
Lev GoukassianIntimate, bilingual, morally preciseSanta Monica light, dogs on windowsills, the last honest byte
Repository Core

Root Files


✍️ Вот как я пишу свои рассказы

The root-level Russian file — "This Is How I Write the Stories" — serves as the creative README for the entire repository. It explains the writing method, the relationship between technical specifications and their fictional doubles, and the discipline of translating voltage thresholds into human meaning. The original DeepSeek conversation that produced this document is the unofficial README for both story collections.

→ Read: Вот как я пишу свои рассказы.md
The Technical Originals

The Frameworks Behind the Stories


Every story in this repository has a technical counterpart — a specification, a proof, or a pillar document. These are the two frameworks whose architecture these stories translate into human language:

FrameworkCore ConceptPublished
Ternary Moral Logic (TML)Sacred Pause · Sacred Zero · Always Memory · Stewardship Council · Goukassian PromiseAI and Ethics, Springer Nature (2025)
Ternary Logic (TL)Epistemic Hold · Immutable Ledger · Goukassian Principle · Hybrid Shield · Decision LogsAI and Ethics, Springer Nature (Accepted 2026)