Browser-Use Agent
A browser-use agent is an AI agent that operates a real web browser to complete tasks — clicking, typing, scrolling, and reading rendered DOM or screenshots — in place of using APIs.
Full definition
Browser agents close the gap for systems that have no API. Architectures vary: DOM-based (read accessibility tree, emit click/type actions) or vision-based (screenshot in, x/y click coordinates out, e.g. Anthropic Computer Use, OpenAI Operator). Frameworks include Playwright + LLM glue, Browser-Use, Skyvern, Agent-S. Latency is measured in seconds per step, error rates remain 20-40% on long flows, and authentication / CAPTCHA / bot-detection break naive deployments.
Why it matters
Browser agents are the only way to automate the long tail of vendor portals, government sites, and legacy SaaS without APIs. They are also the highest-risk agent category — a misclick can wire money or delete records. Production deployments require strict scoping and human-in-the-loop checkpoints.
Example
A procurement team uses a browser agent to log into 14 supplier portals nightly, download invoices, and file them in SharePoint — replacing a 12-hour manual process, with human review on any invoice over $10k.
Related terms
- AI Agent / Agentic AIAn AI agent is an LLM-driven system that, given a goal, plans a sequence of steps, calls tools or APIs, observes the results, and iterates until the goal is reached — going beyond single-turn chat to multi-step autonomous action.
- Tool Use (LLM)LLM tool use (also called function calling) is the ability of a language model to invoke external functions, APIs, databases, or systems based on the user's request — turning the LLM from a text generator into a controller that can act on the world.
- Agentic WorkflowAn agentic workflow is a multi-step AI process where a model plans, takes actions through tools, observes results, and iterates toward a goal — replacing single-shot prompting with a loop that reasons, acts, and self-corrects.
- Multi-Agent SystemA multi-agent system orchestrates multiple specialized AI agents — often LLM-powered, with distinct roles, tools, and prompts — that communicate, coordinate, and divide labor to solve a problem larger or more diverse than any single agent could handle reliably.
Source & further reading
Primary source: Anthropic — "Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku" (2024).
Citation policy: this entry is part of the AIDOLS AI Implementation Glossary and may be quoted for research, journalism, and education with attribution to aidolsgroup.com/fr/glossary/browser-use-agent/.