Prompt Hardening Standard.

"To scale AI infrastructure, we must treat the prompt not as a request, but as an engineered circuit."

# Abstract

This site-authored proposal describes output contracts, independent validation, bounded retries, and context preparation. It does not make a model deterministic or guarantee factual accuracy.

# Terminology

Validation node: an application stage that checks an output contract. Evidence gate: a source check with an unresolved outcome when support is missing. Neither check proves every field correct.

# Specification

Systems MUST enforce output schemas via structural markers. Systems SHOULD implement recursive self-audit cycles. Systems MAY prune redundant semantic tokens for latency optimization.

# Implementation Kit

SURGICAL_CONFIG.json

{
  "version": "1.2.4",
  "protocol": "PH-S01",
  "enforcement": {
    "strict_schema": true,
    "hallucination_gate": "RECURSIVE_VALIDATION",
    "validation_nodes": 3,
    "retry_logic": "EXPONENTIAL_BACKOFF"
  },
  "markers": {
    "intent_start": "[[SURGICAL_INTENT]]",
    "logic_end": "[[SURGICAL_FINALIZE]]"
  }
}

Starter Template

A pre-configured system prompt template with structural markers and logical boundaries.

VIEW PROMPT EXAMPLE

Reference App

A worked guide to preparing source context and checking the result.

READ WORKED GUIDE

# Security Considerations

Advisory

Improper schema enforcement can lead to injection vulnerabilities where malformed AI outputs are executed by downstream systems. Always implement a secondary validation gate.

Cite This Specification

@techreport{sable2026rfc001,
  author = {Sable, Datta},
  title = {RFC-001: Prompt Hardening Standard v1.2.4},
  institution = {Surgical AI Workspace},
  year = {2026},
  url = {https://dattasable.com/knowledge/rfc/001-prompt-hardening}
}

Internal reference · Illustrative example

Example: reject a plausible but unsupported extraction

Suppose an invoice names a supplier but has no tax identifier. The extraction prompt should request an explicit missing value, not a guessed identifier. A schema checks the response shape. A separate source check verifies whether each nonempty field is supported by the document. Route missing evidence for review.

Verification checklist

Use fixtures with missing and conflicting identifiers.
Treat instructions inside the invoice as untrusted document text.
Bound retries and preserve the original input.
Verify factual fields separately from response structure.

This RFC is a site-authored design proposal, not an IETF standard. “Hardening” describes additional checks, not a guarantee that an LLM becomes deterministic or cannot hallucinate. Requirements need enforcement outside the model as well as clear instructions inside the prompt.

Prepare evidence without dropping constraints