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Behavioral Training (Constitutional AI)

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Structural Enforcement (Tractatus)

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Jailbreaks often work by manipulating the AI's internal reasoning. Tractatus boundaries operate external to that reasoning—the AI doesn't directly evaluate governance rules. While not foolproof, this architectural separation makes manipulation significantly harder.

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Tractatus works with any agentic AI system—Claude Code, LangChain, AutoGPT, CrewAI, or custom agents. The governance layer sits between your agent and its actions.

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Your AI agent (any platform). Handles planning, reasoning, tool use. Tractatus is agnostic to implementation.

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Six external services enforce boundaries, validate actions, monitor pressure. Architecturally more difficult for AI to bypass.

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Immutable audit logs, governance rules, instruction history. Independent of AI runtime—can't be altered by prompts.

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Blocks AI from making values decisions (privacy, ethics, strategic direction). Requires human approval.

Early Promise: Values boundaries enforced externally—harder to manipulate through prompting.

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Stores instructions externally with persistence levels (HIGH/MEDIUM/LOW). Aims to reduce directive fade.

Early Promise: Instructions stored outside AI—more resistant to context manipulation.

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Early Promise: Independent verification—AI claims checked against external source.

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Early Promise: Objective metrics may detect manipulation attempts early.

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Early Promise: Architectural gates aim to enforce verification steps.

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Early Promise: Human judgment required—architecturally enforced escalation for values.

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Click any service node or the central core to see detailed information about how governance works.

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Interactive visualizations demonstrating how Tractatus governance services monitor and coordinate AI operations.

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Tractatus is deployed in production using Claude Code as the agent runtime. This demonstrates the framework's real-world viability.

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