>> Hi, everyone. I'm Tracy and this is Shang. We are engineers from LinkedIn's hiring team.And today we're going to talk about how we built hiring agents using LangChain and LangGraph that cut time to interview by 60% for small businesses. Some quick agenda. So we will cover why hiring is an agent problem, then how we evolved and adopted LangChain and LangGraph, and also how we evaluate it, and last, some lessons learned. So why is hiring an agent problem.When we talk to small business hiring managers, ofte ...

Well, hello everyone. Can you hear me all. Okay.Yes. Perfect. Well, welcome to our talk, our workshop actually.Um, I know maybe you were expecting uh Burgett also. he couldn't come but we make this workshop together for you. Okay.So as you see you have there a QR code you can go ahead and go there is um our page for Asian health protocol so that you have it and I don't have to spell it for you. Um, okay. So, my whole idea today is instead of like me telling you stuff and you do this and show you how to do s ...

Industry Evolution and Agent Spectrum - The AI industry has evolved over the past 18 to 24 months, shifting from basic LLMs to advanced agents and harnesses [2][6][24] - The agentic spectrum transitions across different levels of autonomy, comparable to self-driving technology [6] - Local harnesses have been widely adopted for daily coding tasks, while cloud harnesses provide 24/7 always-on capabilities [3][4][13] Technical Capabilities and Architecture - Harnesses are characterized by high durability, doggedness, planning modes, and parallel sub-agents running for hours or days [8][9] - Cloud-based architectures utilize cloud sandboxes to enable greater resource allocation and advanced parallelism compared to local machines [15] - Advanced harness features include session-long tool approvals, automatic context window compaction, and dynamic skill generation [10][12][21] Market Trends and Future Outlook - The "Harness Era" represents a phase where every harness tends to expand into a claw through technological, economic, and psychological drivers [2][25] - Historical platform shifts, such as the emergence of Android and iOS in the 2010s, indicate that consumer brain space limits the long-term survival of multiple applications [28][30] - The industry anticipates a future shakeout phase in the late 2020s, requiring developers to ensure high economic value or high frequency of use for their AI agents [32][34][36]

And the pace is climbing: about 72,800 of those agents registered in the past 30 days alone.Registration is step one, transaction volume is step two, and the rails for it are already live on mainnet: escrowed jobs, per-request payments, verifiable reputation. ...