Intuned announced a service that builds, deploys and fixes browser automations using an AI agent.
The platform generates automation code from natural‑language prompts, runs it in the cloud, and captures execution context for each run. When a site changes and selectors break, the same AI agent attempts to repair the code without user intervention. The company cites use cases like data scraping, report extraction and form submission for websites that lack public APIs. A short demo shows a scraper being built from a prompt, and another shows the AI repairing a broken script after a site redesign.
If the claim holds, developers could avoid the constant upkeep that plagues traditional robotic‑process‑automation (RPA) tools. Automatic healing promises lower maintenance costs and more reliable schedules, which matters for businesses that rely on web‑based data pipelines. The approach also blurs the line between code‑first and no‑code solutions, offering the speed of a UI tool with the versionability of source code.
Intuned emerged from Y Combinator after a pivot from a different idea, leveraging the founders’ RPA background to target the maintenance problem rather than just automation.