AutoOnboarder: Autonomously Onboarding LLM Agents

AutoOnboarder is an autonomous system that adapts large language model agents to specific tasks by iteratively refining the agent’s foundation model, prompt, and harness code under the guidance of an intelligent coding agent called the Onboarder. The Onboarder operates with only a few examples and evaluates performance on a separate virtual machine to avoid data leakage. In experiments on genomic‑sequencing prior authorization form submission, autonomously onboarded agents matched or surpassed a Gemini 3.5 Flash baseline while reducing costs up to 29×, though performance varied and the agents were not perfect.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

• llms
• agents