#ai-agents
470 episodes
#5972: AI Meeting Agents Are Becoming Stand-Ins
Bots now book follow-ups, update CRMs, and attend on your behalf. Here's what's real, what's speculative, and where the etiquette is heading.
#5957: The Scientific Plugins Hiding in Plain Sight
ChatGPT's plugin directory has 5,723 entries — but the real scientific AI work is happening in arXiv papers, not plugins.
#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.
#5949: Inside Deep Research Agents: Claims, Citations, and the 84.7% Orchestrator Problem
Why 84.7% of citation errors originate at the orchestrator — and how a claim ledger fixes it.
#5948: LangGraph, LangChain, and Deep Agents in 2026
Runtime, framework, harness — how three LangChain layers actually fit together, and what changed in 2026.
#5940: The Missing Middle: Content APIs and ISR for a 6,000-Episode Catalog
When your catalog is too big to rebuild on every change, what has to change? Turns out the missing middle might already exist.
#5915: How Multi-Agent AI Simulations Keep a Shared World State
Concordia keeps the world in a dictionary an LLM writes to. Generative Agents keeps it in a spreadsheet. CAMEL keeps it in the chat log.
#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...
#5869: Scraping AliExpress Specs: Selectors, Agents, or Neither?
Daniel wants to snapshot AliExpress spec sheets into his inventory system. The selector approach is already dead — here's what actually works.
#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?
#5812: One Number, Every Hard Question: Agent Session State
A shopping bot that holds one cart total turns out to contain every hard problem in agent state management.
#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.
#5773: Declaring Environments: Compose, Nix, and the Agent Boundary
Docker Compose, Nix, devcontainers, microVMs — how automated provisioning works, and where the boundary moves when an agent needs a workspace.
#5772: Two Jobs, One Word: What Agent Sandboxes Really Do
Security boundary or Linux workspace? The word "sandbox" quietly split in two — and the split explains where agents actually run now.
#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.
#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.
#5643: Do Git Branches Actually Nest? AI Agents and Stacked PRs
Git branches don't nest — so what are we really doing when AI agents stack pull requests?
#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.
#5536: Staging Environments for Blog Posts and AI Pipelines That's 54 characters. This captures both the content workflow angle and the AI pipeline angle. Good.
Content teams are reinventing staging, draft states, and version history on their own — and AI pipelines are adding autonomous review stages betwee...
#5524: Why AI Voice Agents Can't Hang Up
Two polite AI agents, one endless goodbye loop — and a phone bill that never stops climbing.