Direct model call
One request and one response with validation around the edge.
- Prepare the input and instructions.
- Call one model release and deployment offer.
- Validate and review the output.
The answer is often not one model. Open a system, follow the components, then start from a worked recipe.
One request and one response with validation around the edge.
Search first so the generator receives a small evidence set.
A model chooses among bounded tools while the system owns permissions.
Deterministic stages surround specialized models.
Each recipe begins with a job and names the surrounding system.
Compare revisions blind and measure human editing effort.
Retrieve current sources, separate evidence classes, and review every consequential claim.
Give the model bounded repository tools and require a failing then passing test.
Preserve input data, calculations, assumptions, and the evidence behind the conclusion.
Extract against a schema and route low-confidence fields for review.
Classify messages with examples, abstention, and an escalation path.
Retrieve narrow passages, rerank them, and answer only from the supplied evidence.
Compare prompt adherence, composition, edit precision, and artifact readiness.
Evaluate shot continuity, timing, audio, safety, and revision control.
Limit tools and authority, log actions, and require approval for consequential steps.