The Flow AI Podcast

David Jones-Gilardi
  • 5.0（5則評分）
  • 科技
  • 每週更新兩次

A developer-focused video podcast on AI, Agents, and MCP that delves into AI platforms using code and Langflow.

集數

  1. 6月9日

    Unbloat Your MCP with Prathmesh Patel from MCPJam

    On this episode of The Flow, we dive into the rapidly evolving world of MCPJam with CEO Prathmesh Patel to explore one of the biggest hidden challenges in modern AI agent systems: token bloat. As MCP servers connect LLMs to tools, APIs, and databases, developers are discovering that not all MCP servers are created equal. Some are engineered efficiently, while others expose massive schemas, bloated responses, and poorly scoped tools that quietly consume huge amounts of context and drive up cost, latency, and agent instability.We unpack how MCPJam helps developers visualize and debug these issues through tool tracing, response inspection, and token analysis, while sharing practical strategies for building leaner, faster, and more reliable AI agent systems. If you're a developer working on or with MCP, this episode is for you. Check it out here:MCPJam - https://www.mcpjam.comOpenRAG - https://www.openr.ag

    56 分鐘

  2. 4月13日

    Models Are Smart. Data Is Everything. Building Context-Rich AI Systems with Unstructured.

    In this episode of "The Flow," hosts David Jones-Gilardi and Roy Derks welcome Chris Maddock from Unstructured. The conversation explores the impact of AI-powered pipelines on data preparation, the evolution of Unstructured's platform, and its integration with AI and enterprise systems. Chris shares insights into his coding journey, the challenges of document processing, and the innovative features that make data transformation more efficient.

    47 分鐘

  3. 2月23日

    Postman AI and the Rise of MCP Apps

    In this episode of The Flow, host David Jones-Gilardi is joined by Ruben Casas and Roy Derks to discuss the evolution of Postman, the importance of APIs in AI, and the rise of MCP apps. They explore Ruben's early coding experiences, the integration of AI with APIs, and the future of user interaction through generative UI. The conversation also touches on security concerns in AI applications, the differences between MCP and CLI approaches, and the potential for collaboration between AI and users. Demos of MCP apps showcase the exciting possibilities for developers and enterprises alike.

    59 分鐘

  4. 2025/12/29

    Taming MCP Chaos with Mihai Criveti from IBM / ContextForge

    In this holiday episode of The Flow, hosts David Jones-Gilardi and Carter Rabasa welcome Mihai Criveti, a distinguished engineer at IBM, to discuss MCP Context Forge. The conversation covers Mihai's early programming experiences, the rapid adoption of MCP, and the features of Context Forge that simplify the integration of AI tools. They delve into the differences between A2A and MCP protocols, the importance of plugins for security, and the observability features that enhance performance monitoring. The episode concludes with insights into the future of AI development and the open-source nature of MCP Context Forge.

    55 分鐘

  5. 2025/10/20

    How to Use OAuth in MCP with Max Gerber from Stytch

    In this episode of "The Flow", hosts David Jones-Gilardi and Carter Rabasa are joined by Max Gerber, product engineer at Stytch. The discussion delves into the integration of security in AI applications, focusing on OAuth and MCP servers. Max shares his experiences with coding, the evolution of OAuth, and the role of Stytch in enhancing secure data access for AI agents. If you are curious about the security landscape for AI and MCP, don't miss this one. Resources: https://stytch.com/docs/guides/connected-apps/overview - Product docs https://github.com/stytchauth/stytch-b2b-mcp-demo - Code https://www.notelydemo.com/mcp - live product demo

    1 小時 4 分鐘

  6. 2025/09/15

    Master Unstructured Data in AI with Michele Dolfi from Docling

    In this episode of "The Flow", hosts David Jones-Gilardi and Carter Rabasa welcome Michele Dolfi, a senior researcher at IBM and core committer to Docling. The conversation explores the significance of data in AI, the origin and functionality of Docling, and its role in processing documents, particularly PDFs. Michele shares insights into his coding journey, the challenges faced in document processing, and the innovative features of Docling that enhance developer experience. Docling resources: docling.aihttps://github.com/docling-project/docling-workshopshttps://github.com/docling-project/doclinghttps://github.com/docling-project/docling-mcphttps://www.ibm.com/think/news/doclings-rise-llm-ready-datahttps://www.ibm.com/community/ibm-techxchange-conference/

    58 分鐘

  7. 2025/09/08

    Unlock Real-Time Video Insights and Semantic Search with James Le from TwelveLabs

    In this episode, we delve into the technical intricacies of video AI with James Le from TwelveLabs and explore how TwelveLabs leverages advanced AI models to transform video data into actionable insights. James demonstrates the use of their video embedding and language models, showcasing applications from semantic video search to anomaly detection. Perfect for developers, this episode provides a comprehensive look at integrating TwelveLabs' API into your tech stack, enabling powerful video analysis and indexing capabilities.

    1 小時 4 分鐘

  8. 2025/08/25

    Speed Up Inference and Improve Accuracy using Small Models with Yoeven Khemlani from JigsawStack

    In this episode, we talk with Yoeven Khemlani, founder and CEO of JigsawStack, about their purpose built AI models, object detection, and the latest in using small models for more efficient processing. Resources: https://jigsawstack.com/ Fun: https://codebeasts.ai/

    1 小時

  9. 2025/08/18

    Decode OpenAI's OSS Strategy and Low Latency Real-Time Voice API with Dominik Kundel from OpenAI

    In this episode, Carter and David discuss the latest "what's up?" with Dominik Kundel from OpenAI. We'll talk about GPT OSS, run GPT locally (yes, I said that), and learn some actionable tidbits for developers. https://openai.com/index/introducing-gpt-oss/ https://artificialanalysis.ai/models/open-source#intelligence-vs-active-parameters LMStudio + gpt-oss: https://lmstudio.ai/blog/gpt-oss Streamlit demo + responses API and tools all live here: https://github.com/openai/gpt-oss?tab=readme-ov-file#responses-api Harmony tool (demo website is not hosted yet): https://github.com/openai/harmony The changing of special tokens: https://colab.research.google.com/gist/dkundel-openai/eb1a8ab20264996f0849a6f5c7965d21/harmony-fun.ipynb   Other helpful resources: https://openai.com/open-models/ https://cookbook.openai.com/topic/gpt-oss

    1 小時 2 分鐘

  10. 2025/08/12

    Deploy AI with Confidence through Observability and Evaluation with Rich Young from Arize

    In this episode of The Flow, hosts David Jones-Gilardi and Carter Rabasa engage with Rich Young from Arize to discuss the intersection of AI, software development, and observability. They explore Rich's journey into programming, the mission of Arize in aiding AI builders, and the importance of observability in AI systems. The conversation delves into the innovative features of Arize, including the use of LLMs for evaluating AI outputs and the introduction of Alyx, an agentic assistant. The episode concludes with reflections on the evolving landscape of AI development tools and the excitement of continuous learning in the tech industry.

    56 分鐘

  11. 2025/07/31

    Code Real-Time AI Conversations Using Conversation Relay with Kaelyn Chresfield from Twilio

    In this episode of The Flow podcast, hosts Carter Rabasa and David Jones-Gilardi welcome Kaelyn Chresfield from Twilio to discuss the intersection of AI and communication technology. They explore Kaelyn's journey into programming, the capabilities of Twilio's API, and the innovative Conversational Relay feature that enhances user interactions. The conversation includes a live coding demonstration using Twilio and Langflow, showcasing how developers can create intelligent communication experiences. The episode wraps up with insights on the future of AI in development and the importance of staying updated with new technologies.

    1 小時 4 分鐘
  12. Unpack Web-Scale Data Crawling and Search for AI Agents and MCP with Eyal Ben Barouch from Tavily

    2025/07/21

    Unpack Web-Scale Data Crawling and Search for AI Agents and MCP with Eyal Ben Barouch from Tavily

    In the inaugural episode of the Flow Podcast, hosts David and Carter explore the world of AI, focusing on practical applications and tools for developers. Joined by Eyal from Tavily, they discuss the mission of Tavily, its features, and how it empowers developers to build AI agents. The conversation delves into the importance of pragmatic discussions around AI, the differences between various AI tools, and the future of AI development. The episode emphasizes community engagement and the innovative use cases emerging from the developer community.

    51 分鐘
  • 共 12 集

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簡介

A developer-focused video podcast on AI, Agents, and MCP that delves into AI platforms using code and Langflow.

資訊

  • 創作者
    David Jones-Gilardi
  • 活躍年代
    2025年 - 2026年
  • 集數
    12
  • 年齡分級
    兒少適宜
  • 版權
    © David Jones-Gilardi
  • 節目網站
    The Flow AI Podcast