tracing-knowledge-evolution

Start with the current state of the paradigm and dig down through temporal layers, dating each conceptual stratum. Map ancestors, branching points, and extinct branches to build a complete genealogy of the idea.

Examine why each idea died, assess its preservation quality, and check whether the original constraints that killed it still apply. Ideas that failed due to past technical limitations often become viable when conditions change.

It returns structured JSON with temporal layers, lineage trees, paradigm shifts, decay patterns, revival candidates, a fossil record of dead ideas, and meta-level archaeological insights about knowledge evolution.

Avoid it for time-sensitive decisions requiring only current best practices, or when the history of an idea has no bearing on the decision. It adds depth but takes more effort than a straightforward current-state comparison.

Yes, the methodology is domain-agnostic and works for any field where concepts evolve over time, including science, design, business strategy, and philosophy. The techniques like lineage tracing and decay analysis apply universally.