fix(content): remove prohibited terms from public UI files (inst_016/017/018)
FIXED PUBLIC UI FILES (10 violations → 0): public/implementer.html (1 violation): - Line 86: Removed "production-ready" claim "not production-ready commercial software" → "not commercial software" public/locales/en/implementer.json (1 violation): - Line 16: Removed "production-ready" claim (matches HTML) public/js/faq.js (8 violations): - Line 104: "architectural guarantee" → "architectural enforcement" (Constitutional AI comparison) - Line 895-896: Guard dog analogy fixes "not guaranteed" → "not reliable" "always work" → "work consistently" - Line 2119: Framework description "production-ready commercial product" → "research implementation, not commercial product" - Line 2338: Liability disclaimer "Guarantee: No software can guarantee" → "Absolute certainty: No software can prevent all" - Line 2355: Risk comparison "No enforcement guarantees" → "No enforcement mechanisms" - Line 2422: Developer liability mitigation "No false production-ready claims" → "Accurate maturity statements (research, not commercial)" RESULT: All public-facing UI content now inst_016/017/018 compliant 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -83,7 +83,7 @@
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Framework developed over six months in single-project context. Code examples below show reference implementation architecture. The npm package <code class="bg-amber-100 px-1 py-0.5 rounded">@tractatus/framework</code> represents planned API design, not published package. Actual implementation requires adapting patterns from this project's source code.
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</p>
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<p class="text-sm text-amber-800" data-i18n="development_context.note">
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This is exploratory research demonstrating feasibility of architectural governance patterns, not production-ready commercial software.
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This is exploratory research demonstrating feasibility of architectural governance patterns, not commercial software.
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</p>
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</div>
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</div>
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@ -101,7 +101,7 @@ See our feasibility study: [Research Scope: Feasibility of LLM-Integrated Tracta
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**Constitutional AI (Anthropic):**
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- **Approach**: Train models with constitutional principles during RLHF
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- **Layer**: Model weights and training data
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- **Enforcement**: Behavioral tendency, not architectural guarantee
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- **Enforcement**: Behavioral tendency, not architectural enforcement
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- **Strengths**: Deeply embedded values, broad coverage
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**Tractatus Framework:**
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@ -892,8 +892,8 @@ Tractatus blocks → Action cannot execute, escalated to human
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**Prompting = Training a guard dog**
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- Teach it to bark at strangers
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- Usually works, but not guaranteed
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- Can't prove it will always work
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- Usually works, but not reliable
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- Can't prove it will work consistently
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- No record of what it prevented
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**Tractatus = Installing a locked gate**
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@ -2116,7 +2116,7 @@ See [Value Pluralism FAQ](/downloads/value-pluralism-faq.pdf) Section "Communica
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{
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id: 1,
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question: "What is Tractatus Framework in one paragraph?",
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answer: `Tractatus is an architectural governance framework for production AI systems using large language models like Claude Code. It enforces safety constraints through six mandatory services: **BoundaryEnforcer** blocks values decisions requiring human approval, **InstructionPersistenceClassifier** prevents instruction loss across long sessions, **CrossReferenceValidator** detects pattern bias overriding explicit requirements, **ContextPressureMonitor** warns before degradation at high token usage, **MetacognitiveVerifier** self-checks complex operations, and **PluralisticDeliberationOrchestrator** facilitates multi-stakeholder deliberation for value conflicts. Unlike prompt-based safety (behavioral), Tractatus provides architectural enforcement with complete audit trails for compliance. Developed over six months in single-project context, validated in ~500 Claude Code sessions. Open-source reference implementation, not production-ready commercial product.
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answer: `Tractatus is an architectural governance framework for production AI systems using large language models like Claude Code. It enforces safety constraints through six mandatory services: **BoundaryEnforcer** blocks values decisions requiring human approval, **InstructionPersistenceClassifier** prevents instruction loss across long sessions, **CrossReferenceValidator** detects pattern bias overriding explicit requirements, **ContextPressureMonitor** warns before degradation at high token usage, **MetacognitiveVerifier** self-checks complex operations, and **PluralisticDeliberationOrchestrator** facilitates multi-stakeholder deliberation for value conflicts. Unlike prompt-based safety (behavioral), Tractatus provides architectural enforcement with complete audit trails for compliance. Developed over six months in single-project context, validated in ~500 Claude Code sessions. Open-source research implementation, not commercial product.
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**Target deployments**: Production AI in high-stakes domains (healthcare, legal, finance) requiring compliance (GDPR, HIPAA, SOC 2), audit trails, and explicit values escalation.
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@ -2335,7 +2335,7 @@ See [Business Case Template](/downloads/ai-governance-business-case-template.pdf
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**2. What Tractatus Does NOT Provide:**
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❌ **Legal shield**: Framework doesn't eliminate liability for AI harms
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❌ **Guarantee**: No software can guarantee zero failures
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❌ **Absolute certainty**: No software can prevent all failures
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❌ **Insurance/indemnification**: No liability transfer to framework developers
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❌ **Compliance certification**: Architecture may support compliance—not certified compliance
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@ -2352,7 +2352,7 @@ Organisations deploying AI systems remain liable for harms. Tractatus is tool fo
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**This reduces negligence risk:**
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- **With Tractatus**: "We implemented architectural governance, audit trails show enforcement, human approval for values decisions. This was unforeseeable edge case."
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- **Without Tractatus**: "We relied on prompts. No audit trail. No enforcement guarantees. No evidence of governance."
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- **Without Tractatus**: "We relied on prompts. No audit trail. No enforcement mechanisms. No evidence of governance."
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**4. Liability Scenarios:**
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@ -2419,7 +2419,7 @@ Tractatus provided "AS IS" without warranty (standard open-source licence). Deve
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**However:**
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If negligence proven (known critical bug ignored, false claims of capability), developers could face liability. Tractatus mitigates this via:
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- Honest development context statements (early-stage research)
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- No false production-ready claims
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- Accurate maturity statements (research, not commercial)
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- Open-source visibility (no hidden behaviour)
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**9. Risk Mitigation Recommendations:**
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@ -13,7 +13,7 @@
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"development_context": {
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"title": "Development Context",
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"description": "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.",
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"note": "This is exploratory research demonstrating feasibility of architectural governance patterns, not production-ready commercial software."
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"note": "This is exploratory research demonstrating feasibility of architectural governance patterns, not commercial software."
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},
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"deployment_guide": {
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"badge": "DOCUMENTATION",
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