"We launched HireX today to solve a personal frustration: recruitment pipelines that don't scale. We built 27 autonomous agents to act as a full-time HR team so we could focus on the closing part of hiring rather than the screening part.

I m curious to learn: what is the most annoying part of your current hiring process that you just wish an AI could handle? We re looking for new use cases to build agents for!"

"We ve spent the last year building HireX, and one thing became clear: HR processes haven t evolved since 2010, even with AI tools added on top. We took a different approach instead of adding a chatbot, we deployed an ecosystem of 27+ autonomous agents to run the entire recruiting engine from sourcing to offer.

I m curious where do you draw the line? At what point does 'automating' hiring go too far? Would love to hear from anyone else in the talent space or AI infra about how you balance speed with the 'human' touch."

"Most ATS platforms focus on task-level automation (parsing, scheduling). With HireX, we ve moved to Agentic workflows where agents own the process, not just the task.

We ve seen our users cut time-to-hire by 70% by letting agents handle sourcing, semantic vetting, and negotiation orchestration. I m curious if anyone here is building similar agentic infra for B2B ops? What are the biggest hurdles you ve found in ensuring reliability (hallucinations/compliance) when your agents are managing actual human candidates?"