Consumer ChatGPT Agents vs Asteroid
David Mlcoch, co-founder & CEO of Asteroid, on browser automation and the last mile problem of AI
The key split is consumer convenience versus operational throughput. ChatGPT Agent is built to finish a task a person would otherwise do once, like checking a site, filling one form, or making a booking in a remote browser, while Asteroid is built for the repetitive back office version, where the same workflow has to run all day across legacy portals, with supervision, recordings, and parallel hosted browsers that can scale into a software workforce.
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OpenAI positioned Operator, later folded into ChatGPT Agent on July 17, 2025, as a general web agent for tasks like filling forms, ordering groceries, and booking travel. That framing fits ad hoc user requests more than production operations with strict reliability targets.
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Asteroid describes the enterprise problem as last mile data entry into old systems without APIs, especially in insurance and healthcare. In practice, that means taking structured inputs, logging into carrier or clinic portals, answering branching questions, and repeating the job hundreds or thousands of times.
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The infrastructure requirements diverge fast. Browserbase sells scalable hosted browser infrastructure that can spin up thousands of browser sessions, and Asteroid similarly frames its value around running many agents in parallel with monitoring and human escalation, rather than a single personal browsing session on demand.
Going forward, the market likely separates into personal agents that handle occasional consumer actions and enterprise browser automation systems that replace outsourced clerical work. As model labs make one off browsing easier, the durable value shifts to orchestration, supervision, and domain specific workflows that can run reliably at industrial volume.