Property management is a brutal business: low margins, endless paperwork, and human bottlenecks everywhere. So what happens when you give AI agents the keys? In this episode of Almost Human, Eden Shochat sits with Nir Hemed, co-founder and CTO of Daisy, a New York–based startup reimagining property management through AI. Nir reveals how Daisy built a team of ten autonomous agents - each with names, roles, and Slack access, and how one of them, “Steven,” now handles complex onboarding processes once run entirely by humans. Eden and Nir unpack what it means to design trust between humans and agents, how to build eval frameworks that become a company’s secret IP, and why the future of work isn’t just automation - it’s orchestration. From Temporal workflows to generative UIs and “AI coworkers,” this episode dives into the scaffolding era of AI: where humans teach machines how to manage, reason, and evolve. Key takeaway: The companies that win in this era won’t be the ones that collect the most data, they’ll be the ones that build the best feedback loops. Please rate this episode 5 stars wherever you stream your podcasts!

Meta learning flips the script: you don’t win by hoarding the most data - you win by adapting the fastest. In this episode, Eden sits down with engineer and researcher Liran Tam to demystify meta learning for founders. We cover how to get real performance from tiny datasets, when to use adjacent tasks to supercharge learning, and why personalization and low-compute inference are perfect use cases. We also dig into transfer across domains (from video to robotics), opportunities in cybersecurity, and how the moat is shifting from “most data” to “most diverse domains.” If you’re an early-stage builder asking “Do I need Google-scale data to compete?” this one’s for you. Please rate this episode 5 stars wherever you stream your podcasts! 

Eden Shochat continues his conversation with Gilad Lotan, Head of AI/Data Science & Analytics at BuzzFeed, to unpack one of the most under-hyped ideas in AI: embeddings. Then, Eden puts Gilad in the hot seat with a rapid-fire round of questions.

Eden Shochat sits down with Gilad Lotan, Head of AI/Data Science & Analytics at BuzzFeed, to unpack the most under-hyped idea in AI: embeddings. Beyond “RAG” and chatbots, we get into how vectorizing content and users rewires recommendations, ad targeting, and even business models, without training your own foundation model or shipping another GPT wrapper.

AI talk is everywhere in Tel Aviv, but most of it? Noise. On Almost Human, Eden Shochat - Equal Partner at Aleph and a builder turned VC - cuts through the hype with sharp, first-principles takes on what’s actually transformative. Each week, Eden brings a builder’s lens and investor’s clarity to AI: what tools matter, which ideas are breaking through, and how they reshape life for startups, investors, and Israel’s tech ecosystem. He’ll share the signals he’s picking up on the frontlines, then sit down with founders, researchers, and operators at the bleeding edge to extract takeaways you can actually use. Forget endless GPT comparisons and hype cycles - this is where curiosity meets clarity, and where opportunities come into focus. Welcome to Almost Human. Let’s cut through the noise.