ADR-001: Hybrid Forensics Methodology
Status
Section titled “Status”Accepted - 2026-04-20
Context
Section titled “Context”The project needs a clear baseline method for forensic processing while remaining easy to test and evolve. Early implementation should avoid overfitting to one source type or one analysis method.
Decision
Section titled “Decision”Adopt a hybrid methodology that separates the workflow into four deterministic stages:
- scrape raw source material
- extract lexical/structural features
- analyze features into confidence labels
- report findings in human-readable markdown
Consequences
Section titled “Consequences”- Positive:
- Stage boundaries remain stable while implementations improve.
- Unit and integration tests map cleanly to each stage.
- Outputs are auditable by intermediate artifacts.
- Negative:
- Initial implementation may appear simplistic until richer models are added.
- Repeated stage execution can duplicate work in scaffold mode.
Follow-Up
Section titled “Follow-Up”- Introduce cache/reuse between stages once artifact contracts are finalized.
- Add eval cases that assert behavior across realistic claim/evidence scenarios.
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