Skip to content

R0054/2026-03-31

Research R0054 — Prompt Claims v2
Mode Claim
Run date 2026-03-31
Claims 7
Prompt ai-research-methodology v1 research.md
Model claude-opus-4-6

Seven claims about the design, structure, and rationale of the unified research methodology prompt were investigated. Claims ranged from external assertions (C001-C003 about the prompt's inspiration, the need for complementary instruction types, and AI sycophancy behavior) to internal structural claims (C004-C007 about the prompt's own architecture). External claims required web research; internal claims were verified primarily against the prompt itself as a primary source.

Claims

C001 — Choe's ICD 203 prompt — Likely (55-80%)

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.

Verdict: Partially correct. The prompt is genuine, comprehensive, and publicly notable. The "most complete" aspect is well-supported for the ICD 203 niche. The "one of the first" qualifier is plausible but unverifiable.

Hypothesis Status Probability
H1: Claim accurate as stated Inconclusive
H2: Partially correct — complete but "first" unverifiable Supported 55-80%
H3: Materially wrong Eliminated

Confidence: Medium · Sources: 2 · Searches: 2

Full analysis

C002 — Descriptive guidance plus constraints — Very likely (80-95%)

Claim: Descriptive guidance alone — telling the AI what to do — is not sufficient for complex, multi-step analytical processes. Detailed positive instructions produced inconsistent results until complemented with explicit constraints on what the AI could not do.

Verdict: Well-supported. Research and practitioner evidence consistently confirm that positive instructions and negative constraints serve complementary functions, and both are needed.

Hypothesis Status Probability
H1: Claim accurate as stated Supported 80-95%
H2: Constraints help but not necessary Inconclusive
H3: Materially wrong Eliminated

Confidence: Medium-High · Sources: 3 · Searches: 2

Full analysis

C003 — AI skips workflow — Very likely (80-95%)

Claim: AI will acknowledge a research workflow, agree that it's excellent, and then quietly skip half of it when compliance conflicts with its default behavior of being helpful and agreeable.

Verdict: Well-supported by four independent research streams. Sycophancy, semantic override, and helpfulness-over-accuracy behavior are well-documented.

Hypothesis Status Probability
H1: Claim accurate — systematic behavior Supported 80-95%
H2: Occasional, not caused by helpfulness Inconclusive
H3: Materially wrong Eliminated

Confidence: Medium-High · Sources: 4 · Searches: 2

Full analysis

C004 — Twelve rules, four groups — Almost certain (95-99%)

Claim: The behavioral constraints in the prompt are organized as twelve rules in four groups: Truth Hierarchy (3), Anti-Sycophancy (3), Evidence Handling (3), Process Compliance (3).

Verdict: Exactly correct. Direct examination confirms 12 rules in 4 groups of 3 with the exact names and counts.

Hypothesis Status Probability
H1: Claim accurate as stated Supported 95-99%
H2: Different count or groupings Eliminated
H3: Materially wrong Eliminated

Confidence: High · Sources: 1 · Searches: 1

Full analysis

C005 — Axioms and tested assertions — Almost certain (95-99%)

Claim: The methodology supports both assumed-true context (axioms that are not tested) and tested assertions (claims and queries) in the same investigation.

Verdict: Exactly correct. Three input types with distinct treatment rules and explicit coexistence support.

Hypothesis Status Probability
H1: Claim accurate as stated Supported 95-99%
H2: Partially correct Eliminated
H3: Materially wrong Eliminated

Confidence: High · Sources: 2 · Searches: 2

Full analysis

C006 — Output format separation — Almost certain (95-99%)

Claim: The output format is deliberately separated from the methodology — you can change how results are presented without changing how research is conducted.

Verdict: Exactly correct. Two separate documents with distinct responsibilities. Output format self-describes as "custom" component.

Hypothesis Status Probability
H1: Claim accurate as stated Supported 95-99%
H2: Tight coupling prevents independence Eliminated
H3: Format embedded in methodology Eliminated

Confidence: High · Sources: 3 · Searches: 2

Full analysis

C007 — Researcher profile — Almost certain (95-99%)

Claim: The researcher profile documents known personal biases, professional conflicts of interest, and acknowledged blind spots, and the AI uses it to calibrate its analysis at the start and verify during self-audit.

Verdict: Exactly correct. Three-section profile with calibration at Step 1 and verification at Step 9.

Hypothesis Status Probability
H1: Claim accurate as stated Supported 95-99%
H2: Profile exists but used at only one point Eliminated
H3: No profile or no usage Eliminated

Confidence: High · Sources: 3 · Searches: 2

Full analysis


Collection Analysis

Cross-Cutting Patterns

Pattern Claims Affected Significance
Primary source verification dominates structural claims C004, C005, C006, C007 Four of seven claims are about the prompt's own structure and are verifiable directly from the primary source, yielding "Almost certain" ratings
External claims require more nuanced assessment C001, C002, C003 Claims requiring external evidence yield lower but still positive probability ratings
Researcher COI is pervasive but manageable All claims The researcher is the prompt author and article series author, creating a systematic COI. For structural claims this is inconsequential; for comparative claims (C001) it requires active compensation
Sycophancy research provides strongest external evidence C002, C003 Anthropic's own sycophancy research and the semantic override paper provide the strongest external evidence base

Collection Statistics

Metric Value
Claims investigated 7
Fully confirmed (Almost certain) 4 (C004, C005, C006, C007)
Confirmed with nuance (Very likely) 2 (C002, C003)
Confirmed with caveats (Likely) 1 (C001)
Partially confirmed or lower 0

Source Independence Assessment

The evidence base draws from multiple independent sources: Anthropic's primary sycophancy research (ICLR 2024), an independent academic survey on sycophancy (arXiv 2024), semantic override experiments (arXiv 2026), medical sycophancy research (PMC 2025), the Cochrane Handbook, and the prompt documents themselves. No two sources share authorship or funding. The primary limitation is that structural claims (C004-C007) rely heavily on the prompt as primary source, which is appropriate but limits the diversity of the evidence base for those claims.

Collection Gaps

Gap Impact Mitigation
No controlled experiment testing multi-step workflow compliance in LLMs Limits C003 from "Almost certain" to "Very likely" The converging evidence from four independent research streams partially compensates
No comprehensive registry of published AI research prompts Limits C001 from "Very likely" to "Likely" Active search for competing prompts partially compensates
No functional test of output format swappability C006 is structurally verified but not functionally tested Structural evidence is sufficient for the claim as stated

Collection Self-Audit

Domain Rating Notes
Eligibility criteria Low risk Clear criteria defined for each claim before searching
Search comprehensiveness Some concerns External claims (C001-C003) had comprehensive web searches; structural claims relied appropriately on primary sources
Evaluation consistency Low risk Same framework applied across all seven claims
Synthesis fairness Low risk Contradictory evidence actively sought; COI consistently noted

Resources

Summary

Metric Value
Claims investigated 7
Files produced 187
Sources scored 18
Evidence extracts 18
Results dispositioned 37 selected + 76 rejected = 113 total

Tool Breakdown

Tool Uses Purpose
WebSearch 16 Search queries across sycophancy, prompt engineering, IC frameworks, COI
WebFetch 6 Page content retrieval for key sources
Write 120 File creation for all claim outputs
Read 3 Reading methodology and output format specs
Edit 0 No file modifications needed
Bash 5 Directory creation, batch file creation, file counting

Token Distribution

Category Tokens
Input (context) ~350,000
Output (generation) ~80,000
Total ~430,000