According to @godofprompt on X, an autonomous recruiting agent handled end to end sourcing and screening to deliver a fully qualified shortlist in under 24 hours, as reported in the original thread on X. According to the thread, the stack combined web scraping for talent discovery, LLM based resume parsing, vector search for profile matching, multi step interview question generation, and automated outreach with scheduling links. As reported by the author, the agent applied role specific rubrics, performed skills extraction, ran duplicate and conflict checks, and summarized candidate fit in structured scorecards, reducing manual recruiter hours to near zero. According to the post, the workflow used iterative retrieval augmented generation and batched evaluations to control LLM costs, with human in the loop final review before shortlist release. As stated by the author, measurable outcomes included sub 24 hour cycle time, high response rates from personalized outreach, and consistent scoring across candidates, highlighting near term opportunities for agencies and in house talent teams to cut time to shortlist and expand passive candidate coverage.