AI Agents Articles
Explore our collection of insights and guides on ai agents.
Develop an AI Agent for Any Website with Webfuse
AI agents represent a next-gen web UI/UX enhancement that outperforms traditional guides around friction. Learn how to develop an AI agent on top of any web application with Webfuse.
Snapshots: Provide LLMs with Website State
Comparison of the two prevalent techniques to compile web application snapshots, which represent key context for LLM-based AI agents for the web: DOM snapshots and GUI snapshots (screenshots).
DOM Downsampling for LLM-Based Web Agents
We propose D2Snap – a first-of-its-kind downsampling algorithm for DOMs. D2Snap can be used as a pre-processing technique for DOM snapshots to optimise web agency context quality and token costs.
A Gentle Introduction to AI Agents for the Web
LLMs only recently enabled serviceable web agents: autonomous systems that browse web on behalf of a human. Get started with fundamental methodology, key design challenges, and technological opportunities.
First Steps with Web AI Agents Using Copilot
We built a tool that lets you automate tasks on the web on top of Webfuse and Microsoft Copilot. It can handle internet-based tasks directly in your browser, with no installation required. In this article, we'll cover our approach, challenges, highlights, and surprises along the way.