Topic
Multi-Modal Agents: Vision + Action
12 posts on multi-modal agents: vision + action — part of ai agents & automation on the n4n AI blog.
Screen-parsing agents: OCR, grounding, and clicks
Practical guide to building screen parsing agent OCR grounding pipelines: from screenshot capture and OCR to vision grounding and reliable click execution.
Qwen2.5-VL vs GPT-4o for vision-driven agents
Head-to-head comparison of Qwen2.5-VL and GPT-4o for vision-driven agents: capabilities, cost, latency, ergonomics, limits, and which to choose.
Pixtral 12B: a lightweight vision model for agents
A practical guide to building multimodal agents with Pixtral 12B vision agent: wiring image inputs, tool calls, fallback routing, and avoiding common latency traps.
Multimodal agents for PDF and chart understanding
Practical guide to building multimodal agents for PDF and chart understanding: extraction, vision models, agent loops, and production tradeoffs.
Llama 3.2 Vision for open-source multimodal agents
Practical guide to building open-source multimodal agents with Llama 3.2 Vision: deployment, input formatting, agent loop, parsing, and pitfalls.
Gemini 2.5 Pro agents that see, reason, and act
Analyze how to build production Gemini 2.5 Pro multimodal agents that perceive, reason, and act reliably, with code patterns for vision, tools, and fallback.
From CLIP to RT-2: how vision-action models evolved
Traces the vision-language-action model history from CLIP's perception-only pretraining to RT-2's end-to-end robot policies, weighing tradeoffs for engineers.
Claude 3.5 Sonnet computer use: what agents can do
Practical analysis of Claude 3.5 Sonnet computer use capabilities: how the vision-action agent works, its strengths, limits, and production hardening.
Inside Claude's computer-use API for desktop agents
A practical guide to building desktop agents with the Claude computer use API: architecture, code, pitfalls, and tradeoffs for production.
GPT-4o vision agents that read screenshots and click
Build a GPT-4o vision agent that captures screenshots, reasons about UI elements, and executes clicks. Step-by-step guide with runnable Python code.
Building a UI-testing agent with GPT-4o vision
Learn to build a GPT-4o UI testing agent that drives a browser from screenshots using Playwright and the OpenAI vision API in this hands-on tutorial.
Building a multimodal agent with Claude Opus 4.5
Hands-on tutorial to build multimodal agent with Claude Opus 4.5: wire vision inputs, tool-calling loop, and screen actions for real computer-use tasks.
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