self-improving-investigation

What problem does it solve?

Am I investigating, or just confirming what I already believe? Self-correcting research methodology combining blind worker agents, nested iteration loops, and dialectic synthesis. Use when (1) research requires factual certainty not just plausibility, (2) topic has high bias risk, (3) multiple perspectives must be systematically tested, (4) user explicitly requests deep/thorough investigation, (5) previous single-pass research proved insufficient. Integrates with iterative-loop-engine and deep-investigation-protocol.

Core Features & Use Cases

• Blind worker agents to reduce orchestration bias and keep iterations objective.
• Nested loop architecture to structure multi-dimensional research.
• Dialectic synthesis: thesis → antithesis → synthesis to surface nuance and counterarguments.
• Integration with iterative-loop-engine and deep-investigation-protocol to trace evidence and bias.
• Logging and improvement notes to capture methodology evolution.

Quick Start

Define completion criteria, spawn blind workers, collect findings, and synthesize with dialectic method.