Hark claims browser agent outperforms GPT-5.5 at a fraction of the cost
hark released hark handoff, a browser-based agent capable of navigating sites without apis like target and linkedin. hark claims its agent is faster and cheaper than gpt-5.5 and other models, signaling a shift toward post-trained action-predicting architectures.
hark launched hark handoff, a browser-based agent designed to automate tasks on platforms like target, linkedin, and walmart by analyzing visual structure rather than relying on apis. the company claims its post-trained model, which predicts specific mouse and keyboard actions, offers performance superior to gpt-5.5 and opus 4.8 at a lower cost point. this approach challenges the dominance of general-purpose llms by prioritizing specific action-prediction over token generation for computer use. hark plans to move to pre-training later this year and opened a waitlist for availability by the end of summer.