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In this episode of The Build, Tom Spencer and Cameron Rohn break down some of the biggest developments in AI infrastructure, medical reasoning, and agent deployment.
🏥 Highlights:
• Microsoft’s Agentic Medical AI paper and how LangGraph + Claude replicated the architecture
• Claude’s new MCP desktop apps — AI agents as drag-and-drop tools
• A mysterious new OpenAI model on OpenRouter with a 1M token context window • Cloudflare’s LLM paywall and “House of Mirrors” tech to trap AI crawlers • HIPAA-compliant retrieval with OpenEvidence
• Local model deployments with Gemma 3n and hybrid edge computing
• How startups are balancing inference cost vs. data infra as AI matures👀 Resources
Mentioned:
• Microsoft’s blog: https://microsoft.ai/new/the-path-to-medical-superintelligence/
• Cypher Alpha model on OpenRouter: https://openrouter.ai/openrouter/cypher-alpha:free
• OpenEvidence: https://www.openevidence.com/
• State of AI 2025 (ICONIQ): https://www.iconiqcapital.com/growth/reports/2025-state-of-ai
• LangGraph repo: https://github.com/langchain-ai/langgraph
• MedAgent demo code: https://github.com/The-Build-Podcast/mediagent
🔧 Code + Demos:→ GitHub: https://github.com/The-Build-Podcast
→ LangGraph + Claude demo walkthrough→ LangSmith traces and architecture diagrams
Chapters
00:00 Introduction and Overview
02:40 Microsoft Medical Agent Diagnosis
04:07 Claude AI and Desktop Applications
06:49 OpenAI and Competitive Landscape
09:23 State of AI Report Insights
17:58 Data Storage and Processing Costs
20:52 Cloudflare Innovations and AI Crawlers
30:29 The Explosion of AI Models
31:54 Exploring Multimodal Models
34:40 The Rise of Local AI Models
35:13 Innovations in On-Device AI
39:22 The Future of AI in Healthcare
45:53 AI in Medical Diagnostics
53:32 Limitations and Future Directions
58:11 Evaluations and Methodologies in AI
59:44 LangGraph and Langsmith Integration
01:01:05 Building a Medical Diagnostic Agent
01:04:59 Chain of Debate in Medical Diagnostics
01:08:22 Iterative Development and Debugging
01:12:55 Customizing Agent Architectures
01:18:55 Performance and Reasoning in AI Models
01:25:14 Future of AI in Medical ApplicationsShow
Links
https://openrouter.ai/openrouter/cypher-alpha:free
https://www.openevidence.com/
https://www.iconiqcapital.com/growth/reports/2025-state-of-ai
https://microsoft.ai/new/the-path-to-medical-superintelligence/
https://epoch.ai/data/large-scale-ai-models
https://www.linkedin.com/posts/tomasztunguz_remember-when-you-took-a-family-photo-ghibli-styled-activity-7343312053211734016-TcVU
https://lancedb.com/
https://theory.ventures/
https://www.cloudflare.com/en-au/press-releases/2025/cloudflare-just-changed-how-ai-crawlers-scrape-the-internet-at-large/
https://github.com/The-Build-Podcast
https://microsoft.ai/new/the-path-to-medical-superintelligence/
https://arxiv.org/abs/2506.22405 https://github.com/The-Build-Podcast/mediagent
In this episode of The Build, Tom Spencer and Cameron Rohn break down some of the biggest developments in AI infrastructure, medical reasoning, and agent deployment.
🏥 Highlights:
• Microsoft’s Agentic Medical AI paper and how LangGraph + Claude replicated the architecture
• Claude’s new MCP desktop apps — AI agents as drag-and-drop tools
• A mysterious new OpenAI model on OpenRouter with a 1M token context window • Cloudflare’s LLM paywall and “House of Mirrors” tech to trap AI crawlers • HIPAA-compliant retrieval with OpenEvidence
• Local model deployments with Gemma 3n and hybrid edge computing
• How startups are balancing inference cost vs. data infra as AI matures👀 Resources
Mentioned:
• Microsoft’s blog: https://microsoft.ai/new/the-path-to-medical-superintelligence/
• Cypher Alpha model on OpenRouter: https://openrouter.ai/openrouter/cypher-alpha:free
• OpenEvidence: https://www.openevidence.com/
• State of AI 2025 (ICONIQ): https://www.iconiqcapital.com/growth/reports/2025-state-of-ai
• LangGraph repo: https://github.com/langchain-ai/langgraph
• MedAgent demo code: https://github.com/The-Build-Podcast/mediagent
🔧 Code + Demos:→ GitHub: https://github.com/The-Build-Podcast
→ LangGraph + Claude demo walkthrough→ LangSmith traces and architecture diagrams
Chapters
00:00 Introduction and Overview
02:40 Microsoft Medical Agent Diagnosis
04:07 Claude AI and Desktop Applications
06:49 OpenAI and Competitive Landscape
09:23 State of AI Report Insights
17:58 Data Storage and Processing Costs
20:52 Cloudflare Innovations and AI Crawlers
30:29 The Explosion of AI Models
31:54 Exploring Multimodal Models
34:40 The Rise of Local AI Models
35:13 Innovations in On-Device AI
39:22 The Future of AI in Healthcare
45:53 AI in Medical Diagnostics
53:32 Limitations and Future Directions
58:11 Evaluations and Methodologies in AI
59:44 LangGraph and Langsmith Integration
01:01:05 Building a Medical Diagnostic Agent
01:04:59 Chain of Debate in Medical Diagnostics
01:08:22 Iterative Development and Debugging
01:12:55 Customizing Agent Architectures
01:18:55 Performance and Reasoning in AI Models
01:25:14 Future of AI in Medical ApplicationsShow
Links
https://openrouter.ai/openrouter/cypher-alpha:free
https://www.openevidence.com/
https://www.iconiqcapital.com/growth/reports/2025-state-of-ai
https://microsoft.ai/new/the-path-to-medical-superintelligence/
https://epoch.ai/data/large-scale-ai-models
https://www.linkedin.com/posts/tomasztunguz_remember-when-you-took-a-family-photo-ghibli-styled-activity-7343312053211734016-TcVU
https://lancedb.com/
https://theory.ventures/
https://www.cloudflare.com/en-au/press-releases/2025/cloudflare-just-changed-how-ai-crawlers-scrape-the-internet-at-large/
https://github.com/The-Build-Podcast
https://microsoft.ai/new/the-path-to-medical-superintelligence/
https://arxiv.org/abs/2506.22405 https://github.com/The-Build-Podcast/mediagent