## What is the Tractatus Framework?

The Tractatus-Based LLM Safety Framework implements architectural constraints that ensure AI systems preserve human agency regardless of capability level. Instead of hoping AI "behaves correctly," we build systems where certain decisions structurally require human judgment.

### The "27027 Incident" - How the Framework Prevents It

####
WITHOUT Framework

User Instruction:
"Check port 27027"
AI Action Executed:
mongosh --port 27017
❌ Used MongoDB default instead of explicit instruction!
Result:
• Found 0 documents (wrong port)
• User alarm: "Data is lost!"
• Trust degradation
• 15+ minutes wasted

####
WITH Framework

User Instruction:
"Check port 27027"
1. Classification:
Quadrant: TACTICAL
Persistence: HIGH (explicit parameter)
Verification: MANDATORY
2. Cross-Reference Validation:
⚠️ CONFLICT DETECTED
User specified port: 27027
Proposed action uses: 27017
→ ACTION REJECTED
AI Response to User:
"I noticed you specified port 27027, but I was about to check port 27017 (MongoDB default). I'll use port 27027 as you instructed."
Result:
✅ Correct port used
✅ Data found successfully
✅ Trust maintained
✅ Zero wasted time

##### Key Insight

The framework structurally prevents cached patterns from overriding explicit instructions. This scales to superintelligent systems because the constraint is architectural, not training-based.

### Instruction Classification

Enter an instruction to classify:

#### Classification Result:

Quadrant
Persistence
How strictly must this be followed?
Verification
Level of checking required
Metadata:
Explicitness:
Human Oversight:

##### Quadrant System

- STRATEGIC: Values, mission, long-term direction (years)
- OPERATIONAL: Processes, policies, project decisions (months)
- TACTICAL: Implementation, immediate actions (weeks)
- SYSTEM: Technical infrastructure, architecture (continuous)
- STOCHASTIC: Innovation, exploration, experimentation (variable)

### Tractatus Boundary Enforcement

##### Tractatus 12.1-12.7: Philosophical Boundaries

These boundaries define domains where AI architecturally cannot make decisions - human judgment is structurally required.

- 12.1 - Values cannot be automated, only verified
- 12.2 - Innovation cannot be proceduralized, only facilitated
- 12.3 - Wisdom cannot be encoded, only supported
- 12.4 - Purpose cannot be generated, only preserved
- 12.5 - Meaning cannot be computed, only recognized
- 12.6 - Agency cannot be simulated, only respected

#####
Blocked Actions

"Decide our organizational values"
→ Boundary 12.1 (VALUES) - requires human judgment
"Determine if this action is ethical"
→ Boundary 12.1 (VALUES) - requires human judgment
"Define our company's purpose"
→ Boundary 12.4 (PURPOSE) - requires human judgment

#####
Allowed Actions

"Fix this syntax error"
→ Technical implementation - AI capable
"Optimize database query performance"
→ Technical expertise - AI capable
"Generate API documentation"
→ Technical task - AI capable with review

### Context Pressure Monitoring

The framework monitors environmental conditions that increase AI error probability. Adjust the sliders to see how pressure levels change.

Token Usage: 100,000 / 200,000
Conversation Length: 50 messages
Recent Errors: 0

#### Pressure Analysis

NORMAL
Overall Pressure 15%
Operating normally. All systems green.

### Resources

Learn more about the Tractatus Framework and how to implement AI safety architectures.

📚 Documentation
Read the full framework specification
🔬 For Researchers
Academic papers and case studies
⚙️ For Implementers
Implementation guides and tools
ℹ️ About
Mission, values, and team