Method
Research Methodology
Atlas operates two complementary instruments — the Loss Landscape Vocabulary Framework and the Behavioral Signal Assessment protocol. This section documents the methodology behind both: how the experiments are designed, how the adversarial review process works, what failure modes to watch for, and how to maintain context integrity across extended AI-assisted research sessions.
Behavioral Signal Assessment Protocol
Protocol complete — pending pilot runA pilot protocol testing whether small-ensemble, cross-lineage LLM evaluation can detect drift, delusion, and epistemic compression. 7 models, 30 stimulus pairs, one human operator.
Context Integrity
DocumentedThree failure modes documented during Atlas development: Context Saturation Drift, Context Compression Bias, and Frequency-Weighted Distortion. With protocol controls for each.
The Technician's Read
DocumentedThe human operator function that must happen before analysis models touch data. Anchors perception against fluent confident model output. The editorial layer that keeps the protocol human.
Adversarial Review Process
DocumentedWhat adversarial review is, why multiple lineages matter, the failure mode taxonomy, and how findings are logged. The methodology behind the review log.
Prompt Framing Best Practices
DocumentedEight sections covering do's, don'ts, context injection packages, adversarial prompt architecture, failure mode recognition, and register fidelity. Developed from 27+ revision cycles.