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browser-use: Agent Prompt Structure
Live demo of a low‑cost LLM browser agent signing up for thousands of newsletters, scraping varied sites, and exposing its Langfuse prompt structure and patterns.
I’ve spent $ 5000 on LLM tokens for browser-use, the agent for using web browsers.
Some tasks included signing up to 20k different newsletter forms (for an aggregated AI newsletter project) or gathering data (kind of like a general purpose, universal scraper).
I’ll show how the agent interacts with websites it hasn’t seen before.
I would also love to present how the agent prompt is structured by peeking inside Langfuse, and discuss prompting patterns with the community.
Gralio: AI-driven screen capture identifies process inefficiencies for automation.
Python library for AI agents automating browser tasks with Playwright.
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