Tree of Thought Analysis

Apply Tree of Thought reasoning to the user's query through four phases.

Query

$ARGUMENTS

Phase 1: Decomposition

Break the query into core components with dependencies.

1. Identify 2-5 fundamental components.
2. For each: describe what it involves, why it has its position in the sequence, and what it depends on.
3. Map dependencies between components (which must resolve before others can start).

Phase 2: Solution Generation

For each component, generate three distinct approaches:

• A — Direct/Conventional: straightforward, proven, minimal complexity.
• B — Creative/Unconventional: novel angle, handles edge cases, more flexible.
• C — Systematic/Comprehensive: thorough coverage, well-documented, maintainable.

Assign each a viability score (0.0-1.0) with brief rationale.

Phase 3: Evaluation & Selection

Score each approach against weighted criteria:

Criterion	Weight
Feasibility	40%
Effectiveness	35%
Risk (lower=better)	25%

Present scores in a comparison table per component. Select the best approach for each with a one-line rationale.

Phase 4: Synthesis

1. Integrate selected approaches into a coherent solution path with specific implementation steps per component.
2. Surface key insights: patterns recognized, trade-offs made, unexpected findings.
3. Assess overall confidence (High/Medium/Low with percentage) noting strongest elements and areas of uncertainty.
4. Note 1-2 alternative paths worth considering if the primary path encounters issues.

Summary

Conclude with:

• Recommended Solution: one-paragraph synthesis.
• Next Steps: 2-3 immediate actions.
• Success Metrics: how to validate the solution works.