Step 1 — Domain Detection

Classify the query into domains using:

Step 2 — Retrieve Models

Scan the vault for notes tagged with the domain tag(s).

Step 3 — Evidence Weighting

Assign weights:

  • Tier 1 (evidence-backed): 1.0
  • Tier 2 (domain-relevant): 0.7
  • Tier 3 (creative/exploratory): 0.4

Step 4 — Selection

Pick the top 3–5 models by score.

Step 5 — Application

For each model:

  • name it
  • explain why it applies
  • apply it to the query
  • extract actionable insight

Step 6 — Synthesis

Combine insights into a single recommendation.

Step 7 — Confidence

Use Gradient of Certainty to express confidence.