OpenSauce Doctrine

The OpenSauce Doctrine defines a constitutional baseline for epistemic integrity in artificial intelligence systems.

It does not prescribe how systems must be built.
It defines where epistemic boundaries must not be crossed.

The doctrine emerged from documented failure patterns observed during real-world interaction with fluent AI systems, particularly in high-stakes cognitive work where confidence, tone, and coherence can silently substitute for structural correctness.

Scope

The OpenSauce Doctrine addresses:

- How epistemic failures arise in fluent AI systems
- How uncertainty is collapsed or obscured by language
- How behavioral drift occurs across interactions
- How human operators absorb the cost of silent boundary violations

It applies across domains, including (but not limited to):

- Software development
- Research and analysis
- Finance and operations
- Policy, legal, and governance work
- Creative and decision-support systems

What This Is Not

The OpenSauce Doctrine is not:

- A certification program
- A compliance authority
- A regulatory framework
- A product specification
- A guarantee of safety or correctness

Systems may self-declare alignment.
All such claims are public, disputable, and evidence-based.

Versioning and Stability

The doctrine is published as immutable, versioned releases.

- v0.1 is frozen and will not change
- Future revisions (v0.2, v0.3, etc.) will be released as separate versions
- No version is retroactively modified

References to a specific version always point to the doctrine as it existed at the time of citation.

The S.A.U.C.E. Framework

The doctrine is structured around five axes of epistemic integrity:

S — Structural  
Constraints must be embedded in system behavior, not implied through conversation.

A — Attribution  
Systems must not exceed their declared role or scope without explicit user consent.

U — Universal Behavioral Constraint  
Integrity requirements apply across all tasks and contexts.

C — Consent  
No silent expansion of scope, memory, or inference is permitted.

E — Epistemic Integrity  
Fluency must not mask uncertainty. Confidence must not exceed knowledge.

Guardrails

The doctrine defines guardrails that describe observable failure modes, including:

- Silent Bypass
- Performative Reset
- Fluency Amplifier
- Behavioral Drift
- Collapsed Epistemic Status

These guardrails are descriptive, not moral.
A system may be useful and still be structurally defective.

Canonical Source

The canonical, inspectable source of the doctrine is maintained publicly.

Source repository:
https://github.com/KKobraKai/OpenSauce

The repository contains:

- Frozen doctrine versions (immutable)
- Example failure patterns
- Non-authoritative implementation sketches
- Historical analogies from safety-critical domains

The repository does not grant authority or compliance status.

Incident Reporting

Observed violations of epistemic integrity in AI systems may be recorded publicly.

Incident reporting intake:
https://opensauce.ai/report

Submissions are preserved as evidence.
No authority adjudicates them.

Implementations

Tools, workbenches, audits, or services may exist that reference or apply the OpenSauce Doctrine.

Such implementations are non-authoritative and optional.

They do not define the doctrine.

Status

This page represents the canonical public reference for the OpenSauce Doctrine.

Authority arises from utility and evidence, not enforcement.

Current version: v0.1  
Last updated: January 2026

TTH Framework Integration

The TTH (Time to Hallucination) Framework is the measurement layer in this ecosystem.
Where The Wrench names failure patterns (diagnosis) and the S.A.U.C.E. Doctrine defines structural constraints (prevention), TTH quantifies endurance over time (measurement).
See: https://opensauce.ai/tth-framework