How to read the evidence

Papers, product pages, and public testimony do different work.

Measured study

Behavior under defined conditions

Supports claims about its participants, tasks, models, measures, and comparisons. Small or dated studies do not automatically transfer to current production.

Practitioner survey

Reported use in a defined respondent sample

Shows which jobs and tools respondents report. Self-selection, missing items, and sponsor or community channels limit population claims.

Product documentation

Current interaction contract

Shows what the provider says the feature can see and do. It does not independently establish correctness, usability, or adoption.

Public testimony

An experience that occurs

Surfaces jobs and failure costs that experiments may omit. Self-selection means it cannot establish prevalence or comparative performance.

Evidence cut 16 August 2026. Twenty-three human studies and structured workplace evaluations and one 127-study systematic review were read in full alongside two current single-case AI-assisted development reports, one independently reported open-source dashboard failure chain, practitioner surveys, current provider and open-source documentation, public discussions, first-person production cases, and dated essays and interviews from several professional positions. The strongest counter-reading is that better models will erase older failures. Fresh evidence shows real improvement in visual output—and new failure surfaces from richer, slower, more complex artifacts. Capability is moving; the location of the human work is moving with it.