Authoritative sources · Grounded generation · Review

Generative AI works when sources, evaluation, and authority remain connected.

Documents, definitions, relationships, retrieval, generation, evaluation, and sign-off form one production system. Fluency alone is not evidence.

Production record

Scientific content, regulatory work, and self-hosted publishing require different controls.

AMGEN

Regulated Generative AI

Follow the CMC drafting problem through structured evidence, more than 400 user stories, GxP validation, qualified sign-off, and a reported 40 percent reduction in drafting time.

NEWSRX

Self-Hosted LLM Production

See how discovery, retrieval, generation, evaluation, model serving, and editorial review become one controlled publishing line.

AUGUST 2026

Data to LLM, Hands-On

Hybrid retrieval, reranking, knowledge graphs, open models, evaluation, serving, and governed output.

The production line

Grounding is a system of controls, not a prompt-writing technique.

SOURCE

Authority

Identify approved documents, versions, owners, dates, jurisdictions, and superseded material.

STRUCTURE

Meaning

Preserve sections, definitions, citations, entities, relationships, and document hierarchy.

RETRIEVE

Evidence

Combine lexical, vector, graph, metadata, and reranking methods appropriate to the corpus.

GENERATE

Work product

Draft, compare, extract, classify, or explain while keeping claims tied to inspectable sources.

EVALUATE

Performance

Test retrieval, citation, completeness, contradiction, refusal, and domain-specific error modes.

REVIEW

Authority

Route the result to the qualified editor, scientist, regulator, engineer, or signatory.

What changes by use case

The same foundation supports different work only when its controls change with the consequence.

SCIENTIFIC PUBLISHING

NewsRx

High-volume discovery and drafting require source coverage, editorial consistency, duplicate control, and a production review queue.

REGULATED CONTENT

Amgen

Draft acceleration sits inside validated procedures, controlled terminology, traceable evidence, and qualified approval.

ENGINEERING KNOWLEDGE

RS&H opportunity

Standards, project records, asset data, lessons learned, drawings, and procedures can become reusable working knowledge across markets without erasing their owners or context.

AGENTIC WORK

Enterprise constraint

Fast agent execution shifts effort into permissions, tool boundaries, verification, observability, and proof that no silent error entered the system of record.