How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.
A coding agent built a complete 3D gallery showcasing Paris monuments as Gaussian splats by chaining together two Hugging Face Spaces, generating all images and 3D reconstructions without manual use of any image or 3D tools. The process relied on Gradio Spaces exposing a plain-text "agents.md" file that tells an agent exactly how to call the API, allowing the output of one Space to feed directly into the next. The author frames this as a preview of a "building block economy" where multimedia software is increasingly assembled by agents gluing together documented, callable components rather than built from scratch.
An AI agent created a 3D gallery of Paris monuments by chaining two Hugging Face Spaces—one for generating images and another for 3D reconstruction—without manual coding. The process showcases how AI can seamlessly integrate specialized tools by leveraging documented APIs, enabling complex multimedia outputs from simple prompts. This approach highlights the growing trend of modular, agent-driven workflows in software development.