Maket

The saturated sample contains thirty reviewed videos from twenty-eight accounts: twenty-eight independent posts and two restrained owned controls. Three Instagram renovation creators explicitly disclose paid Maket work, then use their own costly decisions as the script: a family tests changes before a six-figure addition, a renovation couple digitizes a barn sketch, and a DIY creator compares living-room options before building.

A fourth renovator shows an undisclosed nursery workflow, so that relationship remains unknown. Nine more authenticated Instagram creators broaden the use cases: one compares the same home prompt in ChatGPT and Maket, two upload or prompt real homeowner layouts before editing and rendering them, four teach architects constraint-to-3D workflows, one demonstrates text-driven plan revisions, and one pairs real Maket controls and renders with a compact product pitch.

Skills Inside Out supplies the skeptical professional counterweight by testing Maket as a working architect and openly judging where human design still wins. A civil engineer adds the same limit from Instagram: Maket can accelerate plan exploration but cannot replace a specialist.

Urban Decoders places Maket inside a five-tool architecture workflow, two MNML posts are explicitly organic competitor comparisons, and Next AI proves accelerator participation without proving payment. Forty additional artifacts were excluded: fourteen surplus owned posts, eleven audience-first videos without Maket, eleven unreliable audits, one founder interview without product workflow, one synthetic explainer without verifiable Maket output, and two shallow Instagram marketing/list posts without a real Maket workflow.

The thirty-post cap is now full without adding more official content. This is a bounded, traceable sample rather than a census.