Work & Operations
Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
n8n · Gemini
Let agents fill out web forms using text-grid page rendering
Author built TextWeb, a text-grid browser so LLM agents can fill out job applications without costly vision models.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
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Use case overview
Author built TextWeb, a text-grid browser so LLM agents can fill out job applications without costly vision models.
Reported experience
What they did
The author built TextWeb, which loads a page in headless Chromium and pulls out each visible element's position, text, and whether it's interactive. It maps these onto a character grid that keeps the on-screen layout. Interactive elements get numbers, so an agent issues commands like click 3 or type 7 followed by text. Any LLM can read it.
How it went
Each page comes out as roughly 2-5KB of text instead of a roughly 1MB screenshot, so no vision model is needed. The post gives no results from actual job applications and asks for feedback on the grid format.
Worth knowing
It installs with npm install -g textweb and plugs in through an MCP server, function-calling definitions, LangChain, CrewAI, an HTTP API, a CLI, or a Node.js library.
Example prompts
Write a small tool that renders a web page as a text grid, listing each form field, button, and link with a reference number, so an LLM agent can fill out forms without screenshots. Test it on [job application or form URL] using placeholder data and show me the filled fields. Never submit the form.
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