Build Web Automations via Demonstration
Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
In plain words
Notte is a browser automation tool that records user interactions in a remote browser and converts them into deterministic code for repeated execution. Built for developers who need reliable automation, it captures clicks, inputs, and navigations, then generates code that runs on managed infrastructure without requiring language models at runtime. Unlike traditional codegen tools, Notte provides built-in browser management, authentication handling, logging, and optional fallback to AI agents for edge cases, making it suitable for production workflows that demand predictable behavior and versioned code.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure is handled (remote browsers, proxies, auth state) - Code runs in a deployable runtime with logs, retries, and optional agent fallback Agents are great for prototyping and dynamic steps, but for production we usually want versioned code and predictable cost/behavior. Happy to dive into implementation details in the comments. Demo: https://www.loom.com/share/f83cb83ecd5e48188dd9741724cde49a -- Andrea & Lucas, Notte Founders
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