Initial publish: 29 findings, 6 prompts, methodology, open questions

Full comparative analysis of GPT-5, Claude Opus 4.6, Claude Sonnet 4.6,
GPT-4.1, and GPT-4.1 Mini on analytical tasks (not coding).

Contents:
- findings/ALL-FINDINGS.md — complete 3,249-line research log with all
  29 findings, methodology notes, and open questions
- prompts/ — 6 exact prompts used across experiments
- methodology.md — experimental setup and evaluation criteria
- open-questions.md — unanswered questions for future work
- README.md — overview and summary table

Key findings:
- Cross-document consistency: Opus is 2.4x faster with more findings
- Gap-finding: GPT-5 reasoning tokens find domain-specific gaps
- Race conditions: Opus excels at temporal interaction reasoning
- Bias detection: Signal-to-noise ratio > model capability
- Adversarial analysis: GPT-5 exhaustive, Opus qualitatively different

Signed-off-by: Rodin

prompts/hidden-assumptions.md

@@ -0,0 +1,53 @@
+# Prompt: Hidden Assumption Identification
+
+Used in Findings #10, #11, #12.
+
+## Setup
+
+- Single document (full text)
+- Same prompt to all models
+- No tools, no project context beyond the document
+- Temperature 0.3 for non-reasoning models
+
+## Prompt
+
+```
+You are reviewing a system design document for hidden assumptions —
+things the design DEPENDS ON being true but does NOT explicitly state
+or validate.
+
+A hidden assumption is different from a design decision:
+- Design decision: "We use event sourcing" (explicit choice)
+- Hidden assumption: "Events will always be delivered in order"
+  (unstated dependency that could break)
+
+For each hidden assumption found:
+- **Assumption:** What the design implicitly depends on
+- **Where it's hidden:** Which mechanism relies on it (section reference)
+- **What breaks if violated:** Concrete failure mode
+- **Likelihood of violation:** In production, how likely is this to be
+  violated? (not in theory — in the real world with network partitions,
+  clock skew, operator error, etc.)
+
+Focus on assumptions that:
+1. Are NOT explicitly stated in the document
+2. COULD realistically be violated in production
+3. Would cause SILENT incorrect behavior (not loud crashes)
+4. Are specific to THIS architecture (not generic distributed systems concerns)
+
+## Document:
+
+[FULL TEXT OF DOCUMENT]
+```
+
+## Results (Finding #10: cold-start-and-recovery.md, 234 lines)
+
+| Model | Time | Output tokens | Reasoning tokens | Assumptions found |
+|-------|------|---------------|------------------|-------------------|
+| GPT-4.1 Mini | 25s | 3,090 | 0 | 12 |
+| GPT-4.1 | 77s | 2,751 | 0 | 14 |
+| GPT-5 | 78s | 2,649 | 4,096 | 26 |
+
+GPT-5 found 2x more assumptions AND they were qualitatively different —
+multi-component interaction assumptions that require reasoning about
+system-level behavior, not just local properties.