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

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.ai
• https://github.com/docling-project/docling-workshops
• https://github.com/docling-project/docling
• https://github.com/docling-project/docling-mcp
• https://www.ibm.com/think/news/doclings-rise-llm-ready-data
• https://www.ibm.com/community/ibm-techxchange-conference/

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.

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/

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

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.

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.

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.