diff --git a/public/implementer.html b/public/implementer.html index 25189465..f67a7c14 100644 --- a/public/implementer.html +++ b/public/implementer.html @@ -44,16 +44,16 @@

- Reference Implementation
AI Safety Patterns + Reference Implementation
AI Safety Patterns

-

+

Integrate Tractatus framework into your AI systems with practical guides, code examples, and patterns demonstrated in 6-month development project.

@@ -64,11 +64,11 @@
-

Development Context

-

+

Development Context

+

Framework developed over six months in single-project context. Code examples below show reference implementation architecture. The npm package @tractatus/framework represents planned API design, not published package. Actual implementation requires adapting patterns from this project's source code.

-

+

This is exploratory research demonstrating feasibility of architectural governance patterns, not production-ready commercial software.

@@ -186,8 +186,8 @@
-

System Architecture

-

+

System Architecture

+

Understanding how Tractatus integrates with Claude Code to provide robust AI governance

@@ -304,7 +304,7 @@
-

Integration Approaches

+

Integration Approaches

@@ -417,7 +417,7 @@
-

Quick Start Guide

+

Quick Start Guide

@@ -544,7 +544,7 @@ if (!boundary.allowed) {
-

Integration Patterns

+

Integration Patterns

@@ -615,7 +615,7 @@ if (pressure.level === 'CRITICAL') {
-

Implementation Resources

+

Implementation Resources

@@ -711,15 +711,15 @@ if (pressure.level === 'CRITICAL') {
-

Exploring Implementation?

-

+

Exploring Implementation?

+

Explore architectural patterns for AI safety demonstrated in single-project validation.

diff --git a/public/leader.html b/public/leader.html index ceadc061..76760797 100644 --- a/public/leader.html +++ b/public/leader.html @@ -55,13 +55,13 @@
-
+
Research Framework • Early Development
-

+

Tractatus: Architectural Governance for LLM Systems

-

+

A governance framework addressing structural gaps in AI safety through external architectural controls. Designed for organisations deploying large language models at scale where conventional oversight mechanisms prove insufficient.

@@ -72,15 +72,15 @@
-

The Governance Gap

+

The Governance Gap

-

+

Current AI governance approaches—policy documents, training programmes, ethical guidelines—rely on voluntary compliance. LLM systems can bypass these controls simply by not invoking them. When an AI agent needs to check a policy, it must choose to do so. When it should escalate a decision to human oversight, it must recognise that obligation.

-

+

This creates a structural problem: governance exists only insofar as the AI acknowledges it. For organisations subject to EU AI Act Article 14 (human oversight requirements) or deploying AI in high-stakes domains, this voluntary model is inadequate.

-

+

Tractatus explores whether governance can be made architecturally external—difficult to bypass not through better prompts, but through system design that places control points outside the AI's discretion.

@@ -88,12 +88,12 @@
-

Architectural Approach

+

Architectural Approach

-

Three-Layer Architecture

+

Three-Layer Architecture

@@ -125,7 +125,7 @@
-

Six Governance Services

+

Six Governance Services

@@ -163,8 +163,8 @@
-

Governance Capabilities

-

+

Governance Capabilities

+

Three interactive demonstrations showing governance infrastructure in operation. These show mechanisms, not fictional scenarios.

@@ -172,8 +172,8 @@
-

Audit Trail & Compliance Evidence Generation

-

Immutable logging, evidence extraction, regulatory reporting

+

Audit Trail & Compliance Evidence Generation

+

Immutable logging, evidence extraction, regulatory reporting

@@ -229,8 +229,8 @@
-

Continuous Improvement: Incident → Rule Creation

-

Learning from failures, automated rule generation, validation

+

Continuous Improvement: Incident → Rule Creation

+

Learning from failures, automated rule generation, validation

@@ -297,8 +297,8 @@
-

Pluralistic Deliberation: Values Conflict Resolution

-

Multi-stakeholder engagement, non-hierarchical process, moral remainder documentation

+

Pluralistic Deliberation: Values Conflict Resolution

+

Multi-stakeholder engagement, non-hierarchical process, moral remainder documentation

@@ -392,18 +392,18 @@
-

Development Status

+

Development Status

-

Early-Stage Research Framework

-

+

Early-Stage Research Framework

+

Tractatus is a proof-of-concept developed over six months in a single project context (this website). It demonstrates architectural patterns for AI governance but has not undergone independent validation, red-team testing, or multi-organisation deployment.

-

Validated vs. Not Validated

+

Validated vs. Not Validated

@@ -426,11 +426,11 @@
-

EU AI Act Considerations

+

EU AI Act Considerations

-

Regulation 2024/1689, Article 14: Human Oversight

+

Regulation 2024/1689, Article 14: Human Oversight

@@ -462,11 +462,11 @@
-

Research Foundations

+

Research Foundations

-

Organisational Theory & Philosophical Basis

+

Organisational Theory & Philosophical Basis

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-

Scope & Limitations

+

Scope & Limitations

-

What This Is Not • What It Offers

+

What This Is Not • What It Offers

@@ -506,7 +506,7 @@
- Tractatus is not: + Tractatus is not:
  • A comprehensive AI safety solution
  • Independently validated or security-audited
  • @@ -517,7 +517,7 @@
- What it offers: + What it offers: