aistage.pro's answer

Agent Lens combines a web workspace with a Chrome extension, so a real estate professional can start from a listing photo instead of moving files through a separate design studio. It handles virtual furnishing, furniture replacement, decluttering, item removal, interior refreshes, paint changes, and exterior visualization. We also publish an open eight-case benchmark that shows source images beside first outputs—not only handpicked portfolio images.

aistage.pro's answer

Choose Agent Lens when you want fast, credit-based virtual staging without committing to a recurring subscription. New accounts receive 10 credits, and the Starter pack costs $9.90 for 50 credits. The workflow is built around real estate photos and typically produces a result in about 60 seconds. The public benchmark makes output quality easier to judge before buying. As with any virtual staging tool, review every image for factual accuracy, MLS disclosure requirements, and local advertising rules before publishing.

aistage.pro's answer

Agent Lens is designed for residential real estate agents, brokers, listing coordinators, real estate photographers, property marketers, home stagers, and small teams that need listing-ready visuals quickly. It is especially useful for professionals marketing vacant rooms, dated interiors, occupied spaces with visual clutter, or properties where buyers would benefit from seeing a renovation or furniture concept.

aistage.pro's answer

Agent Lens was created by Axis Trend Studio LLC to shorten the gap between finding a listing photo and having a usable staged concept. The product started with a Chrome-first workflow for real estate professionals and launched publicly in November 2025. It has since expanded into a web workspace with virtual furnishing, object removal, renovation visualization, before-and-after examples, a public quality benchmark, and free real estate tools.

aistage.pro's answer

The web application uses Next.js, React, and TypeScript. Supabase provides PostgreSQL, authentication, storage, and realtime services. The Chrome extension follows Manifest V3, while backend image-processing workflows use TypeScript/Deno edge functions and external AI inference providers. The production website runs on Node.js behind nginx and PM2.