The Build - Ai dev and product show.

EP 6 - Agentic Medical AI, Claude’s Desktop Tools & The OpenRouter Mystery Model


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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

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The Build - Ai dev and product show.By Cameron Rohn and Tom Spencer