R0054/2026-03-31/C001
Claim: 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.
BLUF: Choe's ICD 203 prompt is a genuine, substantive, and publicly notable implementation of intelligence community analytical standards for AI research. The "most complete" aspect is well-supported for the ICD 203 niche; the "one of the first" qualifier is plausible but unverifiable without a comprehensive census of published prompts.
Probability: Likely / Probable (55-80%) | Confidence: Medium
Summary
| Entity |
Description |
| Claim Definition |
Claim text, scope, status |
| Assessment |
Full analytical product with reasoning chain |
| ACH Matrix |
Evidence x hypotheses diagnosticity analysis |
| Self-Audit |
ROBIS-adapted 5-domain audit (process + source verification) |
Hypotheses
| ID |
Hypothesis |
Status |
| H1 |
Claim is accurate as stated |
Inconclusive |
| H2 |
Partially correct — complete but "first" unverifiable |
Supported |
| H3 |
Claim is materially wrong |
Eliminated |
Searches
| ID |
Target |
Results |
Selected |
| S01 |
Choe's published ICD 203 prompt |
10 |
2 |
| S02 |
Competing AI research frameworks |
10 |
1 |
Sources
| Source |
Description |
Reliability |
Relevance |
| SRC01 |
Choe's Substack article with full prompt |
High |
High |
| SRC02 |
AI-Researcher NeurIPS 2025 framework |
High |
Medium |
Revisit Triggers
- Discovery of an earlier published ICD 203-based AI system prompt
- Publication of a comprehensive survey/registry of AI research system prompts
- Choe publishes the exact date of the original Patreon prompt post