The Build - Ai dev and product show.

Cameron Rohn and Tom Spencer

Weekly deep dives on the most interesting dev, ai and product releases, research updates and emerging trends in the AI engineering, agent development and software industry.

  1. 3 DAYS AGO

    Ep 15 - The Build

    In this episode, Tom Spencer and Cameron Rohn discuss various updates in the tech world, including the challenges of AI podcasting, the implications of H1B visa changes, and the competitive landscape of AI models from Alibaba. They also delve into the limitations of Figma in web design and explore Cloudflare's new Vibe SDK. Cameron Rohn and Tom Spencer delve into the capabilities of Cloudflare's Vibe SDK and its integration with various AI tools. They discuss the potential of creating scalable applications using Cloudflare Workers, the ease of deploying custom apps, and the importance of integrating design tools like Figma into the development process. The conversation also touches on the features of Cloudflare's AI Gateway, including data loss prevention and real-time agent kits, as well as the advancements in voice cloning technology with 11 Labs for podcasting.Chapters00:00 Introduction and Overview of Topics03:02 Visa Policies and Talent Acquisition05:26 China's K-Visa and Global Talent Competition07:56 Alibaba's New AI Models and Innovations10:55 Deep Dive into Alibaba's Omni Model13:24 Comparative Analysis of AI Models16:09 Future of AI and Global Competition33:19 Exploring Alibaba's Innovations in AI Video Generation35:32 Diving into Figma and the Rise of NanoBanana42:35 Challenges with Figma's AI Integration and Design Workflow52:45 Utilizing MCP Servers for Enhanced Design Collaboration01:00:15 Transitioning to Cloudflare's Vibe SDK and Backend Infrastructure01:01:28 Exploring Cloudflare's Ecosystem01:07:41 Understanding Durable Objects and Stateful Applications01:13:52 Integrating AI Models and Customization01:20:19 Cloudflare AI Gateway and Observability01:25:32 Guard Rails and Data Loss Prevention in AI01:26:03 Innovations in Data Loss Prevention and Real-Time Evaluation01:28:26 Exploring Real-Time Agent Kits and Cloudflare's Infrastructure01:32:09 Voice Cloning and Podcasting with 11 Labs01:39:16 Creating Interactive AI Agents for Business Applications01:45:58 Future of AI in Communication and Collaboration

    1h 48m
  2. 8 AUG

    EP 11 - Open ai OSS via open coder, Langchain open SWE, local inference with ollama turbo, virtual audiences content testing

    We recorded August 7th, right before ChatGPT launched. We dove into GPT open source, OpenCode, Ollama Turbo, and deep agent setups. I wanted to see LangChain’s open suite and test agent environments. OpenCode stood out for its flexibility — multiple model providers, easy local setup, works with Ollama Turbo for $20/month. LM Studio runs similarly. I’m considering a high-spec NVIDIA rig and DGX Spark for local inference. GPT-OSS is cheap, fast, and excellent for coding and tool-calling, but weaker on general knowledge. Running it locally means more setup work but more control. Hybrid local-plus-cloud routing feels inevitable. We demoed OpenAgent Platform — fast, multi-provider agents without writing code. Then explored LangChain SWE — an open-source, multi-threaded coding agent with planner/programmer loops, GitHub integration, Daytona sandboxes, and detailed token-cost tracking. We looked at Vercel’s v0 API for quick generative UI, and the potential to run it privately for internal teams. I closed with Google’s upcoming AI-mode ads and Societies.io — a virtual audience simulation tool for testing and optimizing content before publishing. Chapters 00:00 Introduction to ChatGPT Launch and Demos 01:40 Exploring Open Code and LangChain 04:37 Local Inference and Olamma Integration 07:25 Cloud Acceleration with Turbo Service 10:11 Open Source Model Benchmarks and Feedback

    1h 39m
  3. 25 JUL

    EP - 9 - AI Exec Orders, Qwen 3 Coder, JSON Veo3 Demo and Graph RAG Deep Dive with Neo4J

    In this episode, we dive into the latest AI news, covering new open-source models like Qwen3 Coder and OpenAI's new agent. We discuss a major AI breakthrough at the Math Olympiad, where models achieved gold medal scores, and unpack recent AI executive orders from the Trump administration. In our demo segment, we show how to use JSON for ad vanced AI video generation. We also introduce "The Build Vault," our new project for creating a searchable knowledge base from our podcast content using tools like LangGraph and Neo4j. Chapters 00:04:42 - New Open-Source AI Models00:13:45 - AI Wins Gold at the Math Olympiad00:22:42 - Trump Administration's New AI Policies00:40:48 - Demo: Advanced AI Video Generation with JSON01:00:25 - Introducing "The Build Vault"01:09:25 - How We Built the Vault: GraphRAG & Demos Insights The pace of AI development is accelerating faster than predicted, especially in complex reasoning.Training AI agents in virtual, sandboxed environments is becoming a new industry standard.Structured data like JSON provides granular control for getting better results from creative AI models.New government policies are set to significantly impact AI development, data center construction, and federal use.Knowledge graphs and retrieval-augmented generation (RAG) are powerful techniques for building intelligent apps on top of unstructured data. Keywords Qwen3 CodaOpenAI AgentJSON Veo3AI PolicyLangGraphNeo4jGraphRAGMCP 📢 Show Links📰 News & Updates Advanced version of Gemini with Deep Think (IMO Gold Medal – DeepMind) QWEN3 Coder ModelStudio Console WebDev Arena Introducing ChatGPT Agent (OpenAI) Model training in simple terms 🏛️ Executive Orders Promoting The Export of the American AI Technology Stack Accelerating Federal Permitting of Data Center Infrastructure Preventing Woke AI in the Federal Government 🧪 Demos and Discussion Veo3 JSON mode – Examples, Templates and Docs JSON Veo App JSON Veo App – GitHub The Build Vault The Build Podcast – GitHub Jupyter Notebook Embeddings Demo AssemblyAI

    2h 3m

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Weekly deep dives on the most interesting dev, ai and product releases, research updates and emerging trends in the AI engineering, agent development and software industry.

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