AI Frankly

AI Frankly

Playing with AI tools and sharing what happens. What worked, what broke, and what I learned. Executive Producer: NotebookLM. No hype. Just receipts. aifrankly.substack.com

Episodes

  1. 3D AGO

    MCP 103: I Gave Claude Code Someone Else's Tools (Full Deep Dive)

    Here are the show notes: MCP 103: I Gave Claude Code Someone Else's Tools (Full Deep Dive) Season 1, Episode 11 This week I wired three public MCP servers into Claude Code and gave it one sentence. It touched GitHub, n8n, and Notion without being asked which ones to use. No ticket filed. No audit trail. This episode covers the full lab report: what I connected, what Claude did without being told, and why the governance conversation is happening after the fact in most enterprises right now. Topics covered: GitHub MCP: read-only access and unprompted anomaly detection n8n MCP: autonomous workflow chaining across three automations Notion MCP: persistent memory that survives the conversation window What happened when all three were connected simultaneously The connectors panel moment: that list is your attack surface Glasses ON: enterprise governance gap Glasses OFF: the Minecraft PC Standard still applies Try This Yourself: n8n, one test workflow, 30 minutes Read the full article: https://open.substack.com/pub/aifrankly/p/mcp-103-i-gave-claude-code-someone Watch on YouTube: https://youtu.be/0idx_l2o5X0 Settings: Title: MCP 103: I Gave Claude Code Someone Else's Tools (Full Deep Dive) Season 1, Episode 11, Full RSS toggle: ON Send via email: OFF No paywall Ready to upload the audio? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    37 min

  2. MAR 2

    MCP 102: Claude Already Knows (Full Deep Dive)

    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? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    24 min
  3. MCP 101: I Read the Documentation So You Don't Have To (Podcast)

    FEB 23

    MCP 101: I Read the Documentation So You Don't Have To (Podcast)

    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? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    35 min

  4. FEB 20

    Your Boss Just Saw What Goldman Did With AI (Full Deep Dive)

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    38 min

  5. FEB 18

    The full deep dive. Two parts, one episode.

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    34 min

  6. FEB 16

    The Clean Room Method

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    40 min

  7. FEB 9

    Local Does Not Equal Safe

    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 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    22 min
  8. Karma as Code: The Rise of the Persistent RPG

    FEB 5

    Karma as Code: The Rise of the Persistent RPG

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    31 min

  9. FEB 5

    The Fifth Party Problem: Who Pays When AI Agents Go Rogue

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    34 min
  10. Fear is Fake: Why You're Still Not Running Local AI

    FEB 4

    Fear is Fake: Why You're Still Not Running Local AI

    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 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    32 min

  11. JAN 30

    The Nuclear Option: How I Turned My Gaming Rig Into a Sovereign AI Server

    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. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aifrankly.substack.com

    34 min
  • 11 Episodes

About

Playing with AI tools and sharing what happens. What worked, what broke, and what I learned. Executive Producer: NotebookLM. No hype. Just receipts. aifrankly.substack.com

Information

  • Creator
    AI Frankly
  • Years Active
    2K
  • Episodes
    11
  • Rating
    Clean
  • Copyright
    © AI Frankly
  • Show Website
    AI Frankly