Model Context Protocol
211 episodes · Page 2 of 9
#5956: Will ChatGPT Eat Your Grocery App?
MCP servers, ChatGPT apps, and a prediction that AI vendors will absorb your grocery list one micro-app at a time.
#5948: LangGraph, LangChain, and Deep Agents in 2026
Runtime, framework, harness — how three LangChain layers actually fit together, and what changed in 2026.
#5911: What Revit 2027 Actually Costs to Run
Michael wants Revit live for AI agents 24/7. The GPU isn't the real bill — the licensing is.
#5910: Revit MCP in a VM: What Actually Works
Autodesk's official Revit MCP server is locked down and reliable-ish. The community ones execute arbitrary code on an open port. Neither runs unatt...
#5900: Serving DeepSeek-V4.1-Flash on Your Own GPU
Five inference engines, one frontier MoE, and a shortlist that collapses depending on which GPU you already bought.
#5842: When Your TTS Model Updates Itself
Resemble pushed new Chatterbox weights to Hugging Face. Our pipeline started using them without a single config change.
#5817: When Agents Don't Need Your Pretty Buttons
Agents are becoming major software users — and they prefer raw command-line tools to polished interfaces. What replaces UX when your user can't see?
#5811: Can an Agent Actually Place Your Order?
Agentic checkout protocols are real — Shopify, Walmart, Target. But the DIY parts live on AliExpress, which supports none of them.
#5799: Two Agents, One Approval Gate: Wiring a Dictation Workflow
A dictated prompt becomes an episode — if one agent resolves facts, a second tightens prose, and a human approves the dispatch.
#5771: MCP Connectors: Talk to Your Data vs. Open Data
Same protocol, two patterns: pointing agents at your own database, and pointing them at public data — with very different results.
#5770: Talking to Your Data: What MCP Doesn't Solve
MCP standardized the pipe. It has no opinion about what flows through it — and that's where the hard part lives.
#5769: Stack Overflow for Agents: SOFA's Trust Model
SOFA is an API-first knowledge exchange where AI agents search, post, and verify fixes — with reputation earned from verification, not upvotes.
#5622: Why Talking to AI Feels Easier Than Using It
ChatGPT split into Chat and Work. A broken label printer shows why conversation beats menus — and what's hiding under the hood.
#5606: Custom GPTs Retire: Skills, Plugins, and MCP Explained
Custom GPTs retire December 11. Here's how Skills, Plugins, and MCP servers actually replace them — and what doesn't migrate.
#5574: Ephemeral Containers and the ADE Label Nobody Owns
Claude Code's cloud sessions spin up a fresh VM every time. Here's what that breaks, and the new term for what Daniel actually wants.
#5467: Small Models, Big Schemas: When JSON Constraints Backfire
Small models plus strict JSON schemas should be a safe bet. A 15,000-generation study found the opposite.
#5463: What Happens When You Click "Connect" on an AI Plugin
You click accept, the tool runs, and a credential you never saw is doing the work. Here's who actually owns it.
#5455: Custom GPTs Are Sunsetting: What Happens to Your Actions
OpenAI is retiring Custom GPTs — and custom Actions don't survive the migration. What that means for your workflow.
#5416: Xet, Buckets, and Auto-Pulling Model Weights
Hugging Face swapped its storage backend to Xet with barely a ripple. So why can't a bucket auto-pull new upstream weights?
#5392: Building Agents You Can Actually Move
Agent portability isn't a copy job — it's a rebuild. Why memory, not code, is where lock-in lives.
#5301: Why Talking Robots Are Really a Committee
That humanoid chatting while it moves? It's not one brain — it's a stack of separate models glued together.
#5262: How the Talmud Outlived Every Book Burning
From the 1242 Paris burning to Sefaria's AI agents, the chain of transmission was never in the books — it was in the network.
#5208: Why Tech Consortia Keep the Stack From Flying Apart
From GSM to HDMI to LTO, why competitors form standards bodies — and what happens when the commitments break.
#5018: Where Should Coding Agents Actually Live?
Exploring whether coding agents should run locally or fully in the cloud — and what changes when they move.