A first draft appears immediately. The idea becomes concrete enough to inspect and discuss.

The draft may encode an implicit aggregation, inherit a bad reference, or answer a nearby question.

AI: candidates and execution. Human: question, meaning, and selection.

Repetitive work collapses. SQL, calculations, docs, labels, bulk changes, and boilerplate move quickly.

Generated internals can be opaque; one strange implementation raises maintenance and explanation cost.

AI: legible repetition. Human: expected behavior and verification.

Many directions become cheap. A person can request alternatives without mastering every tool.

Filtering weak ideas requires expertise; novices may mistake breadth or polish for judgment.

AI: enumeration. Human: relevance, feasibility, and restraint.

A prototype improves the conversation. Stakeholders can react to layout and content before production data exists.

Prototype satisfaction says nothing about the correctness, refresh, permissions, or maintenance of the final system.

AI: negotiable mockup. Human: production contract and acceptance.

An unfamiliar representation becomes accessible. The model translates among prose, SQL, Python, tables, and charts.

A person without one familiar inspection surface may have no reliable way to evaluate the translation.

AI: translation. Human: check in a representation they understand.