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How AI Multi-Agents Automate Recruitment & Operations | Charlie Hu with OpenMax

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On this episode of Edge Live, host Josh Kriger sits down with Charlie Hu, co-founder of OpenMax, for an unscripted, candid AI Operator Briefing.


Charlie breaks down how OpenMax transitioned from an over-hired 60-engineer team writing hand-coded software to a lean, 20-person team managing nearly 100 autonomous AI agents, cutting their monthly burn rate by 85%. He explains the fundamental flaw of single-agent chat tools: context-window information decay (the "AI Alzheimer's problem") and how OpenMax’s underlying Zyrus framework delivers persistent memory across Slack, Telegram, and Microsoft Teams.

Watch a live demonstration of OpenMax's multi-agent workspace, featuring asset-level permissions, real-time CPU/memory load monitoring, and an automated candidate screening pipeline that parses 150+ pages of resume data to score and qualify recruits in minutes.


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Use Code: REF-W8CBVH


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OpenMax

Website:openmax.com

X:https://x.com/OpenMaxAI

Linkedin:https://www.linkedin.com/company/openmaxai/


Connect with Charlie Hu

Linkedin: https://sg.linkedin.com/in/charlieyechuanhu

X: https://x.com/CharliehuAI?lang=en 



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Podden och tillhörande omslagsbild på den här sidan tillhör Eathan Janney, Jeff Kelley & Josh Kriger. Innehållet i podden är skapat av Eathan Janney, Jeff Kelley & Josh Kriger och inte av, eller tillsammans med, Poddtoppen.