DGS vs LLMs
Structured outputs vs chat output.
Professional workflows run on artifacts — not conversations.
Chat output is hard to verify
Free-form responses bury assumptions and mix decisions with rationale. That’s fine for exploration, but painful when teams need review and accountability.
Structure makes review possible
When the output is an artifact (plan, spec, schema, checklist), reviewers can check scope, premises, and acceptance criteria before adoption.
DGS is optimized for artifacts
DGS focuses on producing outputs designed to be reviewed, versioned, and reused — not just read once in a chat window.
Shortcut
Ask for an artifact you can review
If a system can’t produce a structured artifact (with scope, assumptions, and acceptance criteria), it will be hard to govern — regardless of how fluent it sounds.