AI Frankly

A note before you listen: this episode's deep dive was produced in NotebookLM. NotebookLM is our executive producer. It also mispronounces Ollama as "Alama" about forty times. We use AI to talk about AI. When the AI hits its limit, we point at it instead of hiding it. --- Three recipes for a voice assistant that doesn't have to phone home. Recipe 1 takes ten minutes — a browser-based Jarvis you ca...

MCP 202: The Missing Control Layer Between Your Agents and Your Tools. Security researchers have a name for what's happening inside most enterprise AI deployments right now: NeighborJack. This episode breaks down what NeighborJack is, why vendors are racing to sell you MCP Security Gateways, and the four questions every operator should ask about any MCP server they're running. Full article: https:...

Half a million lines of source code leaked. A federal court fight the same week. And the thing the internet actually remembered was an ASCII owl named Zornix. This episode covers what EP.15 and EP.16 didn't -- the cultural artifact that came out of the worst press week in Anthropic's history. Download the Python script (see all 18 buddies, free): https://tinyurl.com/zornix Read the full article: h...

Anthropic refused defense contract terms that would have allowed military use of Claude. A federal judge called the Pentagon's response classic First Amendment retaliation. Seven days later, the complete source architecture of Claude Code was permanently mirrored across GitHub. This is the full deep dive. 41 minutes covering the Pentagon lawsuit, Judge Rita Lin's ruling, KAIROS, Undercover Mode, t...

On March 31, 2026, an intern at a blockchain security firm checked the npm registry for the newest release of Claude Code. Within 30 seconds he found a 59.8MB source map file that should never have shipped to production. Inside: 512,000 lines of TypeScript, 1,900 files, and the complete architecture of one of the most important AI developer tools ever built. This is the full deep dive. 45 minutes...

Anthropic shipped six major products in March 2026. A federal lawsuit over autonomous weapons. And a quietly revised safety pledge with no hard stop. All in the same 30 days. In this episode we unpack the full operator picture -- what shipped, what it means for enterprise security, and what every IT practitioner needs to know before deploying any of it. In this episode: Claude Computer Use and the...

Nobody hacked Anthropic. A misconfigured CMS left roughly 3,000 unpublished assets publicly accessible. One described a new model nobody was supposed to see yet. Cybersecurity stocks dropped billions in a single session. Not a breach. A config error. In this episode we unpack the full anatomy of the incident, what actually leaked, why Wall Street panicked, and what it means for every enterprise IT...

MCP hit 30 CVEs in 60 days. 38 percent of public MCP servers had zero authentication. The protocol works. The governance layer doesn't exist yet. This episode covers the real threat model for MCP in production: three villains, five layers of defense, and a six-question self-audit you can run against any MCP server today. MCP didn't break your security model. It exposed that you didn't have one. To...

Bonus Episode - Season 1 Anthropic didn't have a week. They had a product conference that nobody announced. This deep dive breaks down everything that shipped in March 2026, sorted by who it actually affects: everyday Claude users, developers building with Claude Code, and enterprise operators responsible for securing all of it. What we cover: Persistent memory and the governance nightmare Sonnet...

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,...

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 b...

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 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 regul...

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://o...

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: ht...

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 episo...

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 p...

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 thi...

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: Not...

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...