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R0054/2026-03-31/C001 — Claim Definition

Claim as Received

Joohn Choe's ICD 203 prompt is one of the first and most complete published system prompts implementing a full analytical rigor framework for AI research.

Claim as Clarified

This claim asserts two things: (1) that Joohn Choe's ICD 203-based system prompt was among the earliest published system prompts to implement a comprehensive analytical rigor framework for AI-assisted research, and (2) that it is one of the most complete such prompts. "Published" implies publicly available, not behind a paywall. "Full analytical rigor framework" implies systematic coverage of intelligence community tradecraft standards, not merely referencing ICD 203 in passing. The claim contains an embedded assumption that few comparable prompts existed before Choe's publication.

BLUF

The claim is partially correct. Choe's ICD 203 prompt, published on Substack around March 2026, is a genuine and substantive implementation of IC analytical standards for AI research. It is among the most visible publicly published prompts of its kind. However, the claim overstates uniqueness -- while Choe's prompt is notable for its completeness and public availability, there is no comprehensive census of all published system prompts, making "one of the first" difficult to verify conclusively. Other IC-adjacent AI frameworks (e.g., the AI-Researcher NeurIPS 2025 framework, various OSINT tool prompts) exist but typically do not implement ICD 203 tradecraft standards as directly.

Scope

  • Domain: AI prompt engineering, intelligence community analytical standards
  • Timeframe: 2024-2026
  • Testability: Verifiable by examining the published prompt and comparing it to other publicly available AI research system prompts

Assessment Summary

Probability: Likely / Probable (55-80%)

Confidence: Medium

Hypothesis outcome: H2 (partially correct) prevailed. The prompt is genuine, complete, and publicly notable, but the "first" claim cannot be verified without a comprehensive census of all published prompts, and the researcher's conflict of interest (developing a derivative tool) creates incentive to overstate Choe's novelty.

[Full assessment in assessment.md.]

Status

Field Value
Date created 2026-03-31
Date completed 2026-03-31
Researcher profile Phil Moore
Prompt version ai-research-methodology v1 research.md
Revisit by 2026-09-30
Revisit trigger Discovery of earlier published IC-standards-based AI system prompts, or comprehensive survey of published AI research prompts