According to Ethan Mollick on X, Anthropic’s Claude Opus 4.7, using a max thinking setting, produced an interactive 3D “Tower of Babel” web experience in two prompts—first to implement a sophisticated, visually interesting 3D build, then to improve it—demonstrating end‑to‑end code generation and iteration for real‑time graphics (source: Ethan Mollick). As reported by Mollick, the live demo hosted on Netlify indicates the model can scaffold a full web stack including HTML, CSS, JavaScript, likely leveraging Three.js or WebGL for rendering, and add interactivity with camera controls and scene logic (source: Ethan Mollick). For businesses, this showcases rapid prototyping potential for marketing microsites, product configurators, educational simulations, and data visualization tools, cutting development cycles and enabling designer–developer workflows centered on prompt‑driven iteration (source: Ethan Mollick). According to Mollick, the two‑prompt cycle also highlights Opus 4.7’s capacity to refactor and enhance existing codebases, a key capability for front‑end optimization, performance tuning, and feature expansion in enterprise web projects (source: Ethan Mollick).

According to Ethan Mollick on X, Claude Code generated and deployed an interactive Northern Seas Lighthouse Atlas that maps lighthouse locations with correct light colors, rotation or pulse frequencies, brightness scaling, and visibility ranges, and published it to Netlify (source: Ethan Mollick, X post and lighthouse-atlas.netlify.app). As reported by Ethan Mollick, the project demonstrates Claude Code’s capability to translate natural language prompts into a full-stack data visualization pipeline, including geospatial mapping, parameterized animation, and web deployment. According to Ethan Mollick, this indicates practical business use cases for Claude Code in rapid prototyping, data storytelling, technical marketing, and internal analytics dashboards where domain rules must be encoded precisely (e.g., maritime signals). As reported by Ethan Mollick, the reproducible workflow—prompting, code generation, and automated hosting—highlights lower engineering overhead for teams building niche data products and suggests opportunities for agencies and SaaS vendors to offer prompt-to-product services with faster turnaround and lower cost.