Agentic Conversations (formally mlops.community)

00:58:54

The Current State of Agentic Retrieval - Qdrant...

Agentic Conversations (formally mlops.community) ·

2026/07/01

Qdrant Roundtable episode: The Current State of Agentic RetrievalJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to Qdrant for the collaboration!// AbstractAI agents are only as good as the information they can find, retrieve, and remember. In this community roundtable with the Qdrant team, we explored the latest advances in agentic memory, vector search, retrieval

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00:39:28

AI Agents in Healthcare?

Agentic Conversations (formally mlops.community) ·

2026/06/30

Kingsley Madikaegbu is the founder of HealID, a startup building agentic AI on top of the Model Context Protocol (MCP) for one of the most heavily regulated environments there is: healthcare.Recorded at MCP Dev Summit North America in New York, Kingsley sits down with Alex Salkever of the Agentic AI Foundation to break down how you give patients, doctors, caregivers, and family members each their own agent over the same medical record — without breaching HIPAA, leaking PHI, or letting an agent

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01:12:02

Coding Agents Are Secretly General Agents

Agentic Conversations (formally mlops.community) ·

2026/06/27

In this episode:🧠 Coding agents are generalist agents — why "positive transfer" means an agent that's better at code is better at everything, and how that makes them "AGI-complete"⏳ "Code will be solved in a year" — what the automation of knowledge work actually looks like, and why Jay joined ClickUp to be on it🏗️ Why the labs are crushing AI startups — free-for-two-years deals, Windsurf losing Claude access, and the brutal economics of building on top of frontier

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01:09:59

The Dark Side of MCP Servers

Agentic Conversations (formally mlops.community) ·

2026/06/23

Sam Partee (CTO & co-founder of Arcade.dev) and Nate Barbettini (Founding Engineer at Arcade.dev) sit down at the MCP Dev Summit to unpack what nobody wants to admit about the Model Context Protocol: the security model is still full of sharp edges. From tool poisoning and prompt injection to why OAuth got bolted onto the spec, this is a builder 's-eye view of where MCP breaks — and how to ship agents safely anyway.What we get into:🔓 OAuth on MCP — Why the spec adopted OAuth as its authorization

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01:19:53

Sandboxing, Agent Harnesses, and Agent Teamwork

Agentic Conversations (formally mlops.community) ·

2026/06/19

Shahram Anver is the co-founder and CEO of Cleric, the company building the first self-learning AI SRE: an autonomous agent that investigates production incidents, performs root cause analysis, and builds a continuously updated knowledge graph of your infrastructure. Before Cleric, Shahram led MLOps at Gojek, where he built the CaraML platform serving billions of monthly predictions.In this conversation we go from harness to human: how much harness is too much, why the investigation agent is now the

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00:51:27

Zipline Roundtable episode: Building Real-Time ML...

Agentic Conversations (formally mlops.community) ·

2026/06/17

Zipline Roundtable episode: Building Real-Time ML Systems with Zipline + ChrononJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to ZiplineAI for the collaboration!// AbstractReal-time ML use cases like personalization and risk decisioning come with a unique set of challenges: serving fresh feature values at low latency for inference, generating temporally consistent

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00:47:21

MCP Servers Are Becoming the UI for AI Agents

Agentic Conversations (formally mlops.community) ·

2026/06/16

Naseem Al-Naji is the co-founder of MCPcat.io and the creator of Opal — a builder with deep roots in privacy-first developer tooling. In this conversation, he breaks down why MCP servers have become a black box in production, and how MCPcat gives teams X-ray vision into how agents and users actually behave.What we get into:🐱 What MCPcat Is — Open-source analytics and live debugging built specifically for MCP servers🎬 Session Replay — Watch an agent's full journey through your server, tool call

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01:20:46

Agents & the $40M Bet on Multiplayer AI

Agentic Conversations (formally mlops.community) ·

2026/06/12

Stanislas Polu is Co-Founder & CTO of Dust — the enterprise AI agent platform used by 51,000 workers at 3,000+ companies. Before Dust, he spent three years on OpenAI's research team under Ilya Sutskever, working on mathematical reasoning in language models, and prior to that was an engineer at Stripe. He brings a rare combination of frontier AI research and product-building experience to the enterprise agent space.Agents & the $40M Bet on Multiplayer AI // MLOps Podcast #384 with

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00:55:54

From Single-Player to Multi-Player: Operating AI...

Agentic Conversations (formally mlops.community) ·

2026/06/09

James Everingham is the CEO and Co-founder of Guild.ai — the AI agent control plane for production teams. With roots at Netscape, Instagram (Head of Engineering), and Meta (Head of Dev Infra, leading a 1,000-person org), James brings rare, hard-won expertise to the challenge of operating AI agents at scale.From Single-Player to Multi-Player: Operating AI Agents at Scale // MLOps Podcast #383 with James Everingham, CEO and Co-founder of Guild.aiIn this episode, James unpacks what actually breaks when

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00:43:18

The Control-vs-Magic Spectrum Building Agents

Agentic Conversations (formally mlops.community) ·

2026/06/05

Thiago Cardoso is the Director of Data & AI at iFood and the architect behind iFood Pago's AI agent platform. This fintech system serves millions of restaurants across Brazil through WhatsApp and the iFood app. In this episode, he breaks down what it actually takes to ship agentic AI in production at scale.The Control-vs-Magic Spectrum Building Agents // MLOps Podcast #382 with Thiago Cardoso, Director of Data & AI at iFood🤖 WHAT WE COVER:🔹 Control vs. Magic — Thiago's spectrum

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00:46:39

Logs Are All You Need: Rethinking Observability with...

Agentic Conversations (formally mlops.community) ·

2026/06/02

Sherwood Callaway is the founder of Sazabi (YC P26), the AI-native observability platform built for engineering teams who ship fast. He previously founded and exited a YC company — now he's back, betting that logs are all you need to replace Datadog.Logs Are All You Need: Rethinking Observability with AI Agents // MLOps Podcast #381 with Sherwood Callaway, the Founder of Sazabi🔑 What's covered:🪵 Logs vs. The Three Pillars — Sherwood makes the case that the traditional observability stack

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00:56:47

AI Is Fast. AI Projects Are Slow. Let's Fix That.

Agentic Conversations (formally mlops.community) ·

2026/05/29

Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect) of RocketRide join the MLOps Community to walk through AIDE — the AI Integrated Development Environment. RocketRide is an open-source AI pipeline platform that lets developers build, debug, and run production-grade agentic AI workflows directly from their IDE, with support for 13+ LLM providers, 8+ vector databases, and full multi-agent orchestration.AI Is Fast. AI Projects Are Slow. Let's Fix That. //

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00:56:59

Architecting Modern AI Systems: Platforms, Agents,...

Agentic Conversations (formally mlops.community) ·

2026/05/28

BuzzHPC Roundtable episode: Architecting Modern AI Systems: Platforms, Agents, and Integration Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguideBig shout-out to BuzzHPC for the collaboration!// AbstractAs AI systems evolve into more autonomous, agent-driven architectures, the way we design platforms, tools, and infrastructure is rapidly changing. In this session with BuzzHPC, we

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00:02:19

[Special Announcement] MLOps Community Linux Foundation

Agentic Conversations (formally mlops.community) ·

2026/05/28

Big news: the MLOps Community is joining the Linux Foundation to become the official user community of the new Agentic AI Foundation (AAIF). The AAIF is the neutral home for open source projects like the Model Context Protocol (MCP), goose, and AGENTS.md, co-founded by Anthropic, Block, and OpenAI. With that governance and scaffolding now in place, the open source agent ecosystem has room to scale, and the MLOps Community is right in the middle of it.Everything you love about the community from the

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01:18:38

Inside Just Eat's AI Lab: Voice Agents & Agentic...

Agentic Conversations (formally mlops.community) ·

2026/05/26

Guthrie Cooper (Senior Group Product Manager, AI & Robotics) and Nidhi Sharma (Global Head of Engineering AI & Incubation) from Just Eat Takeaway.com join the MLOps.community to pull back the curtain on how one of Europe's largest food delivery platforms is running an internal innovation engine. From autonomous delivery robots to agentic AI voice assistants, they share what it actually takes to build like a startup inside a 40,000-person company.Inside Just Eat's AI Lab: Voice Agents

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00:42:19

Autonomous Agents at Work: From OpenClaw Hype to...

Agentic Conversations (formally mlops.community) ·

2026/05/19

Pramod Krishnan is a Managing Director - AI Managed Services at PwC, specializing in enterprise AI transformation — helping large organizations move from AI experimentation to production operating models. In this episode with Demetrios, Pramod breaks down exactly what the OpenClaw wave means for enterprises, and the control frameworks PwC uses before a single agent touches production.Huge thanks to ⁠PwC⁠ for supporting this episode!Autonomous Agents at Work: From OpenClaw Hype to Enterprise Reality

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00:41:11

Agents are Just While Loops

Agentic Conversations (formally mlops.community) ·

2026/05/15

Hamza Tahir, co-founder of ZenML, joins the show to cut through the hype around long-running agents — arguing that at the end of the day, an agent is just a while loop that talks to a model, calls a tool, and writes to a file system. He covers the architecture of agent harnesses (inner and outer), what durable execution actually guarantees (and what it doesn't), and why the ML pipeline paradigm is a cleaner mental model than transactions for most agent workloads.Hamza also announces Kitaru —

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00:48:13

The Latency Goldilocks Zone Explained

Agentic Conversations (formally mlops.community) ·

2026/05/12

Rafael (Head of Innovation, iFood) and Daniel (Data and AI Manager, iFood) pull back the curtain on ILO-Agent — iFood's conversational AI ordering system built for 200 million users across Latin America. Recorded live at AI House Amsterdam, this conversation goes deep into the engineering and product decisions behind building recommendation systems and agentic AI, and why the speed of your AI's response might actually be destroying user trust.The Latency Goldilocks Zone Explained // MLOps

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00:41:13

Building MCP Before MCP Existed: Inside Despegar's...

Agentic Conversations (formally mlops.community) ·

2026/05/08

Nicolas Alejandro Bogliolo is the AI PM at Despegar, the largest online travel agency in Latin America, and the engineer-product-hybrid behind Sofia, the GenAI travel concierge that beat most of the OTA world to a working multi-agent system. Before MCP was a standard and before LangChain was widely adopted, his team had already shipped their own orchestration layer and tool protocol in production. This conversation is a rare look at what it takes to build an agentic system that actually books trips,

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00:51:04

Voice Agent Use Cases

Agentic Conversations (formally mlops.community) ·

2026/05/01

This episode is brought to you by the MLflow team. Check out more information at MLflow.org.What does it actually take to build voice AI at a billion-interaction scale? This episode features an ex-Amazon voice AI engineer who built customer support systems handling 2 billion+ interactions — now working on next-gen voice agent platforms. Anurag digs deep into the real engineering tradeoffs, design patterns, and use cases that separate production-grade voice agents from demos.Voice Agent Use Cases //

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