Agentic Vision in action
By enabling code execution in the API, you can unlock many new behaviors, many of which are highlighted in our demo app in Google AI Studio. From big products like the Gemini app to smaller startups, developers have already started integrating the capability to unlock many use cases, including:
1. Zooming and inspecting
Gemini 3 Flash is trained to implicitly zoom when detecting fine-grained details.
PlanCheckSolver.com, an AI-powered building plan validation platform, improved accuracy by 5% by enabling code execution with Gemini 3 Flash to iteratively inspect high-resolution inputs. The video of the backend logs demonstrate this agentic process: Gemini 3 Flash generates Python code to crop and analyze specific patches (e.g., roof edges or building sections) as new images. By appending these crops back into its context window, the model visually grounds its reasoning to confirm compliance with complex building codes.
