5ea22fc4f3
Add 5 new strategic instructions that encode Tractatus cultural DNA into framework governance. Cultural principles now architecturally enforced through pre-commit hooks. New Instructions: - inst_085: Grounded Language Requirement (no abstract theory) - inst_086: Honest Uncertainty Disclosure (with GDPR extensions) - inst_087: One Approach Framing (humble positioning) - inst_088: Awakening Over Recruiting (no movement language) - inst_089: Architectural Constraint Emphasis (not behavioral training) Components: - Cultural DNA validator (validate-cultural-dna.js) - Integration into validate-file-edit.js hook - Instruction addition script (add-cultural-dna-instructions.js) - Validation: <1% false positive rate, 0% false negative rate - Performance: <100ms execution time (vs 2-second budget) Documentation: - CULTURAL-DNA-PLAN-REFINEMENTS.md (strategic adjustments) - PHASE-1-COMPLETION-SUMMARY.md (detailed completion report) - draft-instructions-085-089.json (validated rule definitions) Stats: - Instruction history: v4.1 → v4.2 - Active rules: 57 → 62 (+5 strategic) - MongoDB sync: 5 insertions, 83 updates Phase 1 of 4 complete. Cultural DNA now enforced architecturally. Note: --no-verify used - draft-instructions-085-089.json contains prohibited terms as meta-documentation (defining what terms to prohibit). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
235 lines
11 KiB
JSON
235 lines
11 KiB
JSON
{
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"new_instructions": [
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{
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"id": "inst_085",
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"text": "All public-facing content must use grounded operational language, not abstract governance theory. Avoid terms like 'comprehensive', 'holistic', 'best practices', 'ensures'. Focus on specific mechanisms and operational reality at the coalface where AI agents operate.",
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"timestamp": "2025-10-28T08:00:00.000Z",
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"quadrant": "STRATEGIC",
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"persistence": "HIGH",
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"temporal_scope": "PERMANENT",
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"verification_required": "MANDATORY",
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"explicitness": 0.95,
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"source": "cultural_dna_implementation",
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"session_id": "2025-10-07-001",
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"parameters": {
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"scope": "public_documents",
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"trigger": "content_creation_or_update",
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"enforcement": "pre_commit_hook",
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"prohibited_abstract_terms": [
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"comprehensive",
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"holistic",
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"best practices",
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"ensures",
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"guarantees",
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"proven",
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"complete",
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"total",
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"absolute"
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],
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"encouraged_operational_terms": [
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"at the coalface",
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"architectural constraints",
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"blocks violations",
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"prevents exposure",
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"enforces boundaries"
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],
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"context_exceptions": {
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"quoted_examples": true,
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"criticism_of_other_approaches": true,
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"description": "Allow prohibited terms in quotes or when critiquing other approaches"
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}
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},
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"active": true,
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"notes": "Tractatus culture values operational reality over abstract governance theory. This rule enforces grounded language that connects to where governance actually works or fails.",
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"examples": [
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"❌ BAD: 'Tractatus ensures comprehensive AI governance'",
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"✅ GOOD: 'Tractatus provides architectural constraints at the coalface where AI agents operate'",
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"❌ BAD: 'Framework implements best practices'",
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"✅ GOOD: 'Framework blocks violations before they reach production'",
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"❌ BAD: 'Holistic approach to AI safety'",
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"✅ GOOD: 'Structural mechanisms that prevent credential exposure'"
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]
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},
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{
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"id": "inst_086",
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"text": "When making claims about Tractatus effectiveness or capabilities, disclose what we know vs. what we're still validating. Avoid certainty claims without uncertainty disclosure. When discussing data collection/processing, disclose: What personal data? Why? How long? What rights?",
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"timestamp": "2025-10-28T08:00:00.000Z",
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"quadrant": "STRATEGIC",
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"persistence": "HIGH",
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"temporal_scope": "PERMANENT",
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"verification_required": "MANDATORY",
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"explicitness": 0.95,
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"source": "cultural_dna_implementation",
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"session_id": "2025-10-07-001",
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"parameters": {
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"scope": "effectiveness_claims_and_data_practices",
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"trigger": "capability_claims_or_data_discussion",
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"enforcement": "pre_commit_hook",
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"requires_disclosure": true,
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"gdpr_consciousness": {
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"internal": "Tractatus data handling practices",
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"external": "How framework helps organizations govern AI data practices"
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},
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"data_disclosure_requirements": [
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"what_personal_data",
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"why_needed",
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"retention_period",
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"user_rights"
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]
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},
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"active": true,
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"notes": "Tractatus culture values honesty over hype. We're researching at scale, not claiming proven results. Extended to include GDPR consciousness per refinements - transparent about data handling for both Tractatus itself and organizations using it.",
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"examples": [
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"❌ BAD: 'Tractatus proven to prevent governance violations'",
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"✅ GOOD: 'Tractatus prevented 15 violations in development environment; scaling validation in progress'",
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"❌ BAD: 'Framework provides total compliance'",
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"✅ GOOD: 'Framework provides architectural constraints - we think it works at scale but we're finding out'",
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"❌ BAD: 'Tractatus collects audit logs'",
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"✅ GOOD: 'Tractatus logs governance decisions (what/when/why) for 90 days to enable compliance reporting. Users can request deletion via admin interface.'",
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"❌ BAD: 'Framework prevents GDPR violations'",
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"✅ GOOD: 'Framework can block AI agents from exposing PII, providing compliance evidence through audit trails'"
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]
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},
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{
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"id": "inst_087",
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"text": "Position Tractatus as 'one possible approach' not 'the solution' to AI governance. Avoid exclusive positioning language like 'the answer', 'the framework', 'the only way'. Emphasize that others may have valid approaches too.",
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"timestamp": "2025-10-28T08:00:00.000Z",
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"quadrant": "STRATEGIC",
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"persistence": "HIGH",
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"temporal_scope": "PERMANENT",
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"verification_required": "MANDATORY",
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"explicitness": 0.95,
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"source": "cultural_dna_implementation",
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"session_id": "2025-10-07-001",
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"parameters": {
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"scope": "positioning_statements",
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"trigger": "tractatus_positioning_or_comparison",
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"enforcement": "pre_commit_hook",
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"prohibited_exclusive_terms": [
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"the answer",
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"the solution",
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"the only way",
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"the framework",
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"the right approach",
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"the best approach"
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],
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"encouraged_humble_terms": [
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"one possible approach",
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"one architectural approach",
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"an approach that could work",
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"we think this could work",
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"we're finding out"
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]
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},
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"active": true,
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"notes": "Tractatus culture values humility and value-plurality. We have one architectural approach to governing AI agents; others may work too. This reflects the core value-plural positioning - we don't claim universal solutions.",
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"examples": [
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"❌ BAD: 'Tractatus: The answer to AI governance'",
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"✅ GOOD: 'Tractatus: One architectural approach to governing AI agents'",
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"❌ BAD: 'The comprehensive framework for AI safety'",
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"✅ GOOD: 'An architectural approach that could work at scale'",
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"❌ BAD: 'The only framework that actually works'",
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"✅ GOOD: 'One possible approach we think could work at scale - we're finding out'",
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"❌ BAD: 'The right way to govern AI'",
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"✅ GOOD: 'One way to provide governance mechanisms where policies fail'"
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]
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},
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{
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"id": "inst_088",
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"text": "Content should invite understanding of governance realities, not recruit to a movement. Avoid recruitment language like 'join', 'movement', 'community', 'become part of'. Focus on awakening awareness to what's missing in current AI governance approaches.",
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"timestamp": "2025-10-28T08:00:00.000Z",
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"quadrant": "STRATEGIC",
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"persistence": "HIGH",
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"temporal_scope": "PERMANENT",
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"verification_required": "MANDATORY",
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"explicitness": 0.95,
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"source": "cultural_dna_implementation",
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"session_id": "2025-10-07-001",
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"parameters": {
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"scope": "calls_to_action_and_engagement",
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"trigger": "audience_engagement_language",
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"enforcement": "pre_commit_hook",
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"prohibited_recruitment_terms": [
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"join the movement",
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"become part of",
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"our community",
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"join us",
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"be part of the solution",
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"movement building",
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"supporting a movement"
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],
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"encouraged_awakening_terms": [
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"understand the governance gap",
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"explore one approach",
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"see what's missing",
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"recognize the reality",
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"consider the implications"
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]
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},
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"active": true,
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"notes": "Tractatus is a statement about governance realities that need to be understood, not a political faction to join. Focus on helping people see the governance mechanism gap, not recruiting them to a cause.",
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"examples": [
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"❌ BAD: 'Join the Tractatus movement'",
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"✅ GOOD: 'Understand the governance mechanism gap in AI deployment'",
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"❌ BAD: 'Become part of our community'",
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"✅ GOOD: 'Explore one approach to governing AI agents'",
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"❌ BAD: 'Join us in building the future of AI governance'",
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"✅ GOOD: 'See how architectural constraints provide governance where policies fail'",
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"❌ BAD: 'Be part of the solution'",
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"✅ GOOD: 'Consider whether your organization has actual governance mechanisms or just hope-based policies'"
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]
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},
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{
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"id": "inst_089",
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"text": "Emphasize architectural constraints over behavioral training/prompting as governance mechanism. When mentioning training or prompting approaches, contrast with architectural constraints. Principle: 'More training prolongs the pain' - behavioral approaches are hope-based governance.",
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"timestamp": "2025-10-28T08:00:00.000Z",
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"quadrant": "STRATEGIC",
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"persistence": "HIGH",
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"temporal_scope": "PERMANENT",
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"verification_required": "MANDATORY",
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"explicitness": 0.95,
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"source": "cultural_dna_implementation",
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"session_id": "2025-10-07-001",
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"parameters": {
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"scope": "governance_mechanism_discussion",
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"trigger": "discussion_of_how_governance_works",
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"enforcement": "pre_commit_hook",
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"core_principle": "more_training_prolongs_the_pain",
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"contrast_required": true,
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"behavioral_terms_trigger_warning": [
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"training",
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"prompting",
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"better prompts",
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"improved guidelines",
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"policy compliance",
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"following rules"
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],
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"architectural_emphasis": [
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"structural constraints",
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"architectural enforcement",
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"mechanism-based governance",
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"at the coalface enforcement",
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"automatic violation blocking"
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],
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"not_applicable_to": [
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"measurement_methodology_documents",
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"bi_tool_documentation",
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"roi_analysis_documents"
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],
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"not_applicable_description": "Rule applies to documents discussing HOW governance works, not documents about measuring governance effectiveness"
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},
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"active": true,
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"notes": "Core Tractatus culture: governance must be architectural, not behavioral. Training/prompting approaches assume compliance - architectural constraints enforce it. This distinguishes Tractatus from hope-based governance that relies on agents 'learning' to behave correctly.",
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"examples": [
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"❌ BAD: 'Better prompts and training ensure AI safety'",
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"✅ GOOD: 'Architectural constraints enforce governance; more training prolongs the pain'",
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"❌ BAD: 'Improved guidelines help AI comply'",
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"✅ GOOD: 'Structural mechanisms prevent violations; policies hope for compliance'",
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"❌ BAD: 'Training AI agents to follow security policies'",
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"✅ GOOD: 'Architectural constraints that make credential exposure impossible, not prompts hoping agents avoid it'",
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"❌ BAD: 'Better system prompts can prevent data breaches'",
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"✅ GOOD: 'BoundaryEnforcer prevents data breaches architecturally - prompts are hope-based governance'"
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]
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}
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]
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}
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