Multimodal Agents and Computer-Use (Capstone)

The 2026 frontier product is a multimodal agent that reads screenshots, clicks buttons, navigates web UIs, fills forms, and completes workflows end-to-end. SeeClick and CogAgent (2024) proved the GUI-grounding primitive. Ferret-UI added mobile. ChartAgent introduced visual tool-use for charts. VisualWebArena and AgentVista (2026) are the benchmarks the frontier chases — and even Gemini 3 Pro and Claude Opus 4.7 score ~30% on AgentVista's hard tasks. This capstone pulls together every thread of Phase 12: perception (high-res VLM), reasoning (LLM with tool use), grounding (coordinate output), long-horizon memory, and evaluation.

Capstone 4 hr Python (stdlib, action schema + agent loop skeleton)

Prerequisites: Phase 12 · 05 (LLaVA), Phase 12 · 09 (Qwen-VL JSON), Phase 14 (Agent Engineering)

#Learning Objectives

Design a multimodal agent loop: perceive → reason → act → observe → repeat.
Build a GUI grounding output schema (click coordinates, type text, scroll, drag) the VLM can emit as JSON.
Compare screenshot-only agents vs accessibility-tree agents vs hybrid agents.
Set up a multimodal agent benchmark evaluation on a small VisualWebArena slice.

#Learning Objectives

Keep going. The rest of this lesson is one step away.