Here are the show notes:

MCP 101 was the spec. MCP 102 is the behavior.

In this episode we go beyond the documentation. We cover what actually happens when you flip the switch and run MCP in a real project stack.

The wireframe nobody asked for. The interaction texture shift. The difference between a tool you prompt and a system that can act.

What we cover:

The amnesia problem every AI user knows but hasn't named

Resuming from state vs. starting from zero

The three-tool stack: Anthropic MCP, Notion, and n8n

Why MCP doesn't give Claude memory, it gives structured access to your external memory

How to try this yourself in 15-20 minutes on Claude Desktop or Claude Code

The governance gap enterprise IT teams aren't ready for

Operator Verdict: Adopt (Tinkerers) / Watch (Enterprise)

Read the full article: https://open.substack.com/pub/aifrankly/p/mcp-102

Listen on: Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-frankly/id1873177211 Spotify: https://open.spotify.com/show/6iEuQyxwLeUDsR67QleSTn YouTube: https://youtube.com/@AIFrankly

AI Frankly. Are we having fun yet?

Everyone is making videos about MCP. Nobody is reading the actual documentation.

This is the full 35-minute deep dive on the Model Context Protocol, grounded entirely in official Anthropic sources. What it is, what it isn't, and why Anthropic built it.

What we cover:

- The "USB-C port for AI" analogy (from Anthropic's own docs)

- The N x M problem: 50 integrations down to 15

- Host, Client, Server: the three roles

- Resources, Prompts, Tools: the three capabilities

- Why the protocol can't enforce security

- Anthropic's real business motivation

- How to spot MCP running in Claude Desktop right now

Sources: Official Anthropic blog post, Model Context Protocol GitHub, modelcontextprotocol.io documentation. Nothing else.

Operator Verdict: Adopt (Tinkerers) / Watch (Enterprise)

Read the full article with links and sources:

https://open.substack.com/pub/aifrankly/p/mcp-101

AI Frankly. Are we having fun yet?

The full deep dive podcast on the Goldman Sachs x Anthropic story.

What we cover:

The $285 billion software sell-off and what triggered it. What Goldman actually built with embedded Anthropic engineers. What "digital co-worker" and "constrain headcount growth" really mean for the person in the chair. The pressure cascade from boardroom to your desk. Why auditability beats raw intelligence in regulated industries. And a practical exercise you can try in 5 minutes.

Read the full article: https://open.substack.com/pub/aifrankly/p/your-boss-just-saw-what-goldman-did

Watch on YouTube: https://youtu.be/CEQ9YYkMuSM

Executive Producer: NotebookLM

AI Frankly. Learn the tools before the tools learn your job.

The full deep dive. Two parts, one episode.

Part 1 explored the plumbing behind Visa's AI agents and why 4,700% bot traffic is the reason we can't have nice things yet. Part 2 asks the harder question: when AI agents start making decisions in the transaction chain, who owns the mistake?

Read Part 1: https://open.substack.com/pub/aifrankly/p/the-plumbing-behind-the-hype-visas

Read Part 2: https://open.substack.com/pub/aifrankly/p/the-plumbing-behind-the-hype-part

Watch on YouTube: https://youtu.be/aX2fKpKmOEg

Runtime: 33:47

Executive Producer: NotebookLM

AI Frankly: No hype. Just receipts.

Your prompt is a suggestion. Your source is gospel. This week we break down the Clean Room Method, a 5-step framework to stop AI tools from leaking your personal information. Covering real-world use cases for sales reps, consultants, marketers, analysts, and founders. Plus the enterprise parallels from Disney, IBM, and Anthropic that prove this isn't new.

Full article with copy/paste templates: https://open.substack.com/pub/aifrankly/p/the-clean-room-method

Executive Producer: NotebookLM

The only podcast executive produced by an AI.

Your local AI agent has system access, reads untrusted input, and can send data out. That's the Lethal Trifecta.

In this episode we dissect a case study from early 2026 and introduce the 10-Minute Cage Check.

Read the full article: [link to article post once live]

Watch the promo: https://youtu.be/Qyed6tJvkqo

AI Frankly: No hype. Just receipts.

Executive Producer: NotebookLM

What if your next RPG remembered everything?

Not just this playthrough. Every playthrough. Every choice. Every betrayal. Across every game in the franchise.

AI agent swarms are making persistent karma systems possible. The algorithm never forgets.

In this episode:

- Why current karma systems reset at the title screen

- How AI agents can track behavior across games

- The technical architecture of persistent consequence

- What this means for the future of RPGs

Watch on YouTube: https://youtu.be/RiDxe7G6pB4

Executive Producer: NotebookLM

AI Frankly: No hype. Just receipts.

Who pays when your AI agent books the wrong flight?

This episode combines two articles originally published on AI Frankly:

Part 1: "The Plumbing Behind the Hype" (December 19, 2025)

Part 2: "The Fifth Party Problem" (January 5, 2026)

The short version: AI agents are making purchases, signing agreements, and taking actions on your behalf. When something goes wrong, nobody knows who's liable.

In this episode:

- The 4,700% bot traffic problem

- Visa's five-layer verification system

- Why the Fifth Party concept is aspirational, not operational

- Protocol Wars: Visa vs Google vs Mastercard

- Insurance as the real answer (AIUC, Munich Re, Armilla)

- The KYA gap: Know Your Agent

- Trust levels and what to watch

Read the original articles:

Part 1: https://aifrankly.substack.com/p/the-plumbing-behind-the-hype

Part 2: https://aifrankly.substack.com/p/the-fifth-party-problem

Executive Producer: NotebookLM

The only podcast executive produced by an AI.

AI Frankly: No hype. Just receipts.

The tech works. The governance doesn't. Yet.

The barrier isn't Python. It isn't hardware. It's the fear of breaking something that has a 30-second fix.

In this episode:

- The 3 Fake Fears (Daily Driver, Rabbit Hole, No Undo)

- The 3 Realities (Your Safety Net)

- The Minecraft PC Standard

- Why Shadow IT is actually Distributed R&D

Read the full article: https://aifrankly.substack.com/p/fear-is-fake-why-youre-still-not

Executive Producer: NotebookLM

I repurposed my gaming rig into a local AI server with zero cloud dependency. In this deep dive, we break down why I stopped trusting managed AI services, how to set up LM Studio with Llama 3.1 8B, and how I built The Fetcher agent with FastMCP.

Full written tutorial: https://aifrankly.substack.com/p/the-nuclear-option

AI Frankly: No hype. Just receipts.