Podcasts about MCPS

This episode is a full “build a business in 40 minutes” demo showing how AI collapses what used to take teams (creative production + sales ops + support) into a handful of prompts. Samruddhi generates a high-production video ad in Google AI Studio using a JSON-style prompt framework, then spins up a working voice sales/support agent in Vapi via Claude Desktop + MCP—so the agent is created from a single prompt instead of clicking through the UI. The conversation also covers why “interfaces matter less” in an agent-first world, why workflow tools (like n8n) still have a role, and how memory layers like Mem0 unify context across channels (email/WhatsApp/etc.) so you can take actions without hunting.Timestamps0:00 — “Single person billion-dollar company” belief + AI driving 10x execution speed1:57 — Plan: create the ad in Google AI Studio (Veo 3.1) + build a voice agent using Vapi MCP via Claude Desktop2:42 — Smithery: marketplace for MCP servers3:39 — MCP for non-technical listeners: “like an API, but agents use it to talk to external services”4:22 — Inside Vapi MCP: tool list = APIs the agent can choose from5:06 — AI Studio setup: video generation playground + select Veo 3.16:16 — JSON prompting framework begins (structure → production-level output)6:28 — Keys: description, style, camera, lighting, environment, elements, motion, ending, text9:05 — Prompts/scripts can be AI-generated (humans provide guardrails)10:41 — Need an API key to generate videos in AI Studio10:54 — Ad review: strong realism; last segment looks AI-ish → iterate prompt13:05 — Install Vapi MCP via npx from Smithery + add Vapi API key13:46 — Claude Desktop: Vapi MCP appears under Connectors/Tools (not Claude web)14:05 — Prompt the agent build: “Fresh Pause” + role, tasks, FAQs, call flows18:23 — Testing: “Talk to assistant” starts a live call simulation19:20 — Deployment: assign a phone number; Vapi provides free/test numbers (up to a limit)21:57 — Mem0 / Supermemory: memory layer across apps/agents to keep context24:13 — Why memory layers help: fewer MCPs → less slowdown/hallucination; no need to specify where to search26:36 — MCPs + slide decks: mention of Gamma MCP via Claude27:34 — Future of n8n/Zapier: they persist, but prompting increasingly generates workflows31:38 — Prediction market trading algos (Kalshi/Polymarket) + AI improves speed/decision-making36:02 — Closing vision: help orgs 10x execution speed, especially non-technical leaders (40+) with domain expertiseTools & technologies mentionedGoogle AI Studio (Video Generation Playground) — Generate an 8-second video ad.Veo 3.1 — Google video model used for “production-level” output.JSON Prompting Framework — Structured key/value prompts for story, visuals, camera, lighting, motion, ending frame.Claude Desktop — Runs connectors/tools (including MCP servers).MCP (Model Context Protocol) — Lets agents call external services/tools based on intent.Smithery — Directory/marketplace for MCP servers.Vapi — Voice agent platform; create agents + assign phone numbers.Vapi MCP Server — Enables Claude to operate Vapi via prompts (create/list/configure).npx — Installs MCP server quickly from the terminal.API Keys — Required for AI Studio generation + Vapi authentication.Mem0 / Supermemory — Cross-channel memory layer to retrieve context automatically.Knowledge Graph — Underlying structure for semantic retrieval across interactions.Glean — Referenced as a comparison point for search/context retrieval.Gamma MCP — Example of generating slide decks via MCP.n8n / Zapier — Workflow automation tools discussed in an MCP-first future.OpenClaw — Mentioned as agent tooling that can help with steps like obtaining API keys.Kalshi / Polymarket — Prediction markets referenced in the trading/AI speed discussion.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Wes and Scott talk about the state of AI coding in 2026—from editors and models to agents, skills, slash commands, MCPs, and more. They unpack what these things actually do, how they overlap, and how to use them effectively without overcomplicating your setup. Show Notes 00:00 Welcome to Syntax! 01:39 The tools: editors, terminals, GUIs 05:27 Wes' and Scott's current AI setups 13:17 Picking the right model 18:58 How exactly do agents work? 22:32 Subagents and parallel workflows 24:29 Brought to you by Sentry.io 24:54 What goes in agents.md (and what doesn't) 26:47 Skills vs agents Skills Superpowers 34:03 Slash commands as reusable prompts 36:02 Hooks and keeping your code from going off the rails 38:00 Plugins and bundling your setup 39:24 What MCP is and why it's powerful 40:54 Cloud agents and running jobs remotely 43:47 Choosing the right AI tool 47:41 Sick Picks + Shameless Plugs Sick Picks Scott: ULTRALOQ Bolt Fingerprint WiFi Smart Lock Wes: St. Denis Medical Shameless Plugs Syntax YouTube Channel Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

AI Assisted Coding: Stop Building Features, Start Building Systems with AI What separates vibe coding from truly effective AI-assisted development? In this episode, Adam Bilišič shares his framework for mastering AI-augmented coding, walking through five distinct levels that take developers from basic prompting to building autonomous multi-agent systems. Vibe Coding vs AI-Augmented Coding: A Critical Distinction "The person who is actually creating the app doesn't have to have in-depth overview or understanding of how the app works in the background. They're essentially a manual tester of their own application, but they don't know how the data structure is, what are the best practices, or the security aspects."   Adam draws a clear line between vibe coding and AI-augmented coding. Vibe coding allows non-developers to create functional applications without understanding the underlying architecture—useful for product owners to create visual prototypes or help clients visualize their ideas.  AI-augmented coding, however, is what professional software engineers need to master: using AI tools while maintaining full understanding of the system's architecture, security implications, and best practices. The key difference is that augmented coding lets you delegate repetitive work while retaining deep knowledge of what's happening under the hood. From Building Features to Building Systems "When you start building systems, instead of thinking 'how can I solve this feature,' you are thinking 'how can I create either a skill, command, sub-agent, or other things which these tools offer, to then do this thing consistently again and again without repetition.'"   The fundamental mindset shift in AI-augmented coding is moving from feature-level thinking to systems-level thinking. Rather than treating each task as a one-off prompt, experienced practitioners capture their thinking process into reusable recipes. This includes documenting how to refactor specific components, creating templates for common patterns, and building skills that encode your decision-making process. The goal is translating your coding practices into something the AI can repeatedly execute for any new feature. Context Management: The Critical Skill For Working With AI "People have this tendency to install everything they see on Reddit. They never check what is then loaded within the context just when they open the coding agent. You can check it, and suddenly you see 40 or 50% of your context is taken just by MCPs, and you didn't do anything yet."   One of the most overlooked aspects of AI-assisted coding is context management. Adam reveals that many developers unknowingly fill their context window with MCP (Model Context Protocol) tools they don't need for the current task. The solution is strategic use of sub-agents: when your orchestrator calls a front-end sub-agent, it gets access to Playwright for browser testing, while your backend agent doesn't need that context overhead. Understanding how to allocate context across specialized agents dramatically improves results. The Five Levels of AI-Augmented Coding "If you didn't catch up or change your opinion in the last 2-3 years, I would say we are getting to the point where it will be kind of last chance to do so, because the technology is evolving so fast."   Adam outlines a progression from beginner to expert:   Level 1 - Master of Prompts: Learning to write effective prompts, but constantly repeating context about architecture and preferences Level 2 - Configuration Expert: Using files like .cursorrules or CLAUDE.md to codify rules the agent should always follow Level 3 - Context Master: Understanding how to manage context efficiently, using MCPs strategically, creating markdown files for reusable information Level 4 - Automation Master: Creating custom commands, skills, and sub-agents to automate repetitive workflows Level 5 - The Orchestrator: Building systems where a main orchestrator delegates to specialized sub-agents, each running in their own context window The Power of Specialized Sub-Agents "The sub-agent runs in his own context window, so it's not polluted by whatever the orchestrator was doing. The orchestrator needs to give him enough information so it can do its work."   At the highest level, developers create virtual teams of specialized agents. The orchestrator understands which sub-agent to call for front-end work, which for backend, and which for testing. Each agent operates in a clean context, focused on its specific domain. When the tester finds issues, it reports back to the orchestrator, which can spin up the appropriate agent to fix problems. This creates a self-correcting development loop that dramatically increases throughput.   In this episode, we refer to the Claude Code subreddit and IndyDevDan's YouTube channel for learning resources.   About Adam Bilišič Adam Bilišič is a former CTO of a Swiss company with over 12 years of professional experience in software development, primarily working with Swiss clients. He is now the CEO of NodeonLabs, where he focuses on building AI-powered solutions and educating companies on how to effectively use AI tools, coding agents, and how to build their own custom agents.   You can connect with Adam Bilišič on LinkedIn and learn more at nodeonlabs.com. Download his free guide on the five levels of AI-augmented coding at nodeonlabs.com/ai-trainings/ai-augmented-coding#free-guide.

The Wootton High School shooting revives calls to bring SROs back to MCPS schools. MontgomeryCounty Councilmember Dawn Luedtke on why. Magruder High School in Derwood often gets overlooked in MCPS planning. PTSA President Kim Glassman wants answers. The Montgomery County Democratic Central Committee can now for the first time become involved in non-partisan Board of Education races. Chair Pam Luckett explains when. College Park Mayor Fazlul Kabir on city efforts to protect its student renters. And more. Newly in public domain music by George Gershwin, Paul Whiteman band, and Marian Andersen.

Neste episódio do Papo na Arena, a gente faz mais um giro completo da semana de Inteligência Artificial, com direito a lançamento de modelo da OpenAI e Anthropic, treta pública entre labs, comerciais no Super Bowl e bilhões sendo despejados em infraestrutura. Falamos dos novos modelos Opus 4.6 da Anthropic e GPT-5.3 Codex da OpenAI, comparando performance em código, agentes, UX, velocidade, consumo de tokens e até “vibe” de co-worker. Entramos no impacto do app separado do Codex, automações, MCPs, uso híbrido de modelos (Opus + Sonnet) e como os modelos estão convergindo em capacidades — cada vez menos sobre prompt mirabolante e mais sobre experiência.Na segunda parte, a conversa entra na treta OpenAI vs Anthropic, os anúncios provocativos no Super Bowl, o lançamento de ads no ChatGPT, a saída de pesquisador de segurança da Anthropic, a transparência sobre guardrails e o mercado de “transferências milionárias” da AI. Fechamos com os números absurdos de capex das Big Tech (Google, Amazon, Meta, Microsoft e até Apple), a corrida por data centers e até a ideia de construir data center no espaço.

When it comes to agents and MCPs, the interesting security discussion isn't that they need strong authentication and authorization, but what that authn/z story should look like, where does it get implemented, and who implements it. Dan Moore shares the useful parallels in securing APIs that should be brought into the world of MCPs -- especially because so many are still interacting with APIs. Resources https://stackoverflow.blog/2026/01/21/is-that-allowed-authentication-and-authorization-in-model-context-protocol/ https://fusionauth.io/articles/identity-basics/authorization-models Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-369

MCPS proposes to move Wootton High School from Rockville to Gaithersburg and causes uproar in the community. The Montgomery County Council oversight hearing on the failure of snow response comes down to coordination and communication. We read between the lines. Howard County, MD, becomes the first in the state council to revoke a building permit in Elkridge for an ICE jail. And more. Newly in public domain music by George Gershwin, Paul Whiteman band, and Marian Andersen.

When it comes to agents and MCPs, the interesting security discussion isn't that they need strong authentication and authorization, but what that authn/z story should look like, where does it get implemented, and who implements it. Dan Moore shares the useful parallels in securing APIs that should be brought into the world of MCPs -- especially because so many are still interacting with APIs. Resources https://stackoverflow.blog/2026/01/21/is-that-allowed-authentication-and-authorization-in-model-context-protocol/ https://fusionauth.io/articles/identity-basics/authorization-models Show Notes: https://securityweekly.com/asw-369

When it comes to agents and MCPs, the interesting security discussion isn't that they need strong authentication and authorization, but what that authn/z story should look like, where does it get implemented, and who implements it. Dan Moore shares the useful parallels in securing APIs that should be brought into the world of MCPs -- especially because so many are still interacting with APIs. Resources https://stackoverflow.blog/2026/01/21/is-that-allowed-authentication-and-authorization-in-model-context-protocol/ https://fusionauth.io/articles/identity-basics/authorization-models Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-369

When it comes to agents and MCPs, the interesting security discussion isn't that they need strong authentication and authorization, but what that authn/z story should look like, where does it get implemented, and who implements it. Dan Moore shares the useful parallels in securing APIs that should be brought into the world of MCPs -- especially because so many are still interacting with APIs. Resources https://stackoverflow.blog/2026/01/21/is-that-allowed-authentication-and-authorization-in-model-context-protocol/ https://fusionauth.io/articles/identity-basics/authorization-models Show Notes: https://securityweekly.com/asw-369

I sit down with James Dickerson, a growth marketer, Claude Code power user, and the mind behind The Boring Marketer, to watch him build an entire marketing system live from the terminal. James walks me through his full workflow: deep research with the Perplexity MCP, positioning angle discovery, direct response copywriting, landing page creation, lead magnet design, ad creative generation with Remotion, and traffic strategy — all inside Claude Code using stacked skills and MCPs. By the end, we have a conversion-ready funnel for a fictional AI marketing agency serving boring local businesses, and James shares the free playbook he created from a two-hour recorded session so listeners can replicate the process themselves. Timestamps 00:00 – Intro and Camera Setup Chat 02:57 – Episode Preview: Building a Vibe Marketing System 06:33 – Perplexity MCP for Market Research 08:13 – Live Demo: Researching an AI Marketing Agency Niche 09:48 – Positioning Angles Skill 11:34 – Direct Response Copywriting Skill 15:43 – Playwright MCP for Competitive Intelligence 17:37 – Keeping Your MCP Stack Simple (Perplexity, Firecrawl, Playwright) 20:59 – Anthropic's Front End Design Skill 25:51 – Remotion: Creating Video Ads from the Terminal 28:47 – Landing Page Review: "Boring Money" Agency 30:43 – Orchestrator Skill: Deciding What to Do Next 34:10 – Lead Magnet Skill 34:10 – Are Skills Underrated 39:08 – Claude Code Costs: $200/Month Max Subscription 42:03 – Live Lead Magnet Review 43:28 – Keyword Research and Traffic Strategy Skills 45:23 – The Evolution of Vibe Marketing 47:11 – Remotion Setup and Ad Creation Demo 54:47 – Final Ad and SEO Page Review 57:25 – Final Thoughts Links Mentioned: Vibe Marketing Playbook: https://startup-ideas-pod.link/vibe_marketing_playbook Vibe Marketing Skills: https://startup-ideas-pod.link/Vibe_marketing_skills Key Points Spending an hour on upfront research with the Perplexity MCP produces dramatically better marketing outputs than jumping straight into prompting. Skills are instruction manuals for your AI agent — the expert perspective you build into them (the last 10–20%) is what separates great output from generic AI slop. You can build a complete marketing funnel — landing page, lead magnet, ad creative, SEO content, and traffic strategy — in a single Claude Code session. Remotion lets you create programmatic video ads directly from the terminal at zero cost, in multiple formats, with custom branding. An orchestrator skill can guide you through what to do next, removing the "I have a landing page, now what?" paralysis. The same Claude Code environment where you build products can also ship your entire marketing system — research, copy, design, and deployment in one place. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND JAMES ON SOCIAL X/Twitter: https://x.com/boringmarketer  LinkedIn: https://www.linkedin.com/in/jadickerson/

In this episode, Chris and Conor McCarthy explore the move from standard Chatbots to Agentic AI.If you are trying to figure out how to move beyond basic prompts and build systems that actually do the work for you, this conversation is for you. Conor breaks down the confusion between simple workflows and true AI agents, sharing practical examples of how to automate everything from email triage to complex coding tasks.In this episode, we cover:The 3 Levels of AI Interaction: From basic LLMs to "If/Then" workflows, and finally, true Agentic AI.The "Decision" Factor: How to trust AI to make decisions without you watching over its shoulder.Real-World Wins: How to use agents to fix your inbox and optimise marketing ads automatically.The Tech Stack: A look at "Model Context Protocols" (MCPs) and tools like Lindy.ai and Claude Code.Enjoy the show, and to learn more about AI and other subjects that will help you thrive in tomorrow's work, head to 42courses.com

Montgomery County Public Schools, which had banned AI in classrooms in 2023, now has a draft new AI policy document out for public comment. Sunil Dasgupta talks with MCPS parent, Ed tech expert, and Stoneridge School of the Scared Heart teacher Jaime Chao Mignano to break down the document and the big AI questions that are predicted to upend education itself. Newly in public domain music by George Gershwin, Paul Whiteman band, and Marian Andersen.

This Day in Legal History: “Axis of Evil”On January 29, 2002, President George W. Bush delivered his first State of the Union address after the September 11 attacks, a speech that would shape U.S. legal and foreign policy for years to come. During the address, Bush coined the term “Axis of Evil” to describe Iran, Iraq, and North Korea, alleging these nations were actively pursuing weapons of mass destruction and supporting terrorism. The speech marked a significant rhetorical shift in the U.S. posture toward preemptive military action and helped solidify a legal framework for broad executive authority in the name of national security. Citing the 2001 Authorization for Use of Military Force (AUMF), the Bush administration would go on to justify military interventions without new Congressional declarations of war.The “Axis of Evil” framing played a critical role in building public and political support for the 2003 invasion of Iraq. Though the legal justification centered on Iraq's supposed weapons programs and ties to terrorism, both claims were later discredited, leading to intense scrutiny of the legal rationale behind the war. Domestically, the period following the speech saw rapid expansion of executive power, new surveillance authorities, and detention practices that raised constitutional concerns. Internationally, the speech signaled a departure from multilateral norms and toward unilateral action under the banner of American security interests.The legal legacy of the address continues to reverberate in debates over presidential war powers and the limits of the AUMF. Critics argue the speech set a precedent for indefinite military engagement without sufficient Congressional oversight. Supporters contend it met the urgency of a new kind of threat in the post-9/11 world. Regardless of viewpoint, the 2002 State of the Union redefined the intersection of law, war, and foreign policy in the 21st century.A preliminary review by U.S. Customs and Border Protection (CBP) into the murder of Alex Pretti by federal immigration agents in Minneapolis did not state that Pretti brandished a firearm, contradicting earlier claims by Trump officials. Pretti, a 37-year-old ICU nurse, was shot after reportedly refusing to move from the street when ordered by a customs officer. Initial official statements described Pretti as an armed threat, with the Department of Homeland Security noting he had a handgun—though it was holstered—and Trump aide Stephen Miller labeling him a “domestic terrorist” without evidence. However, video footage from the scene challenged these claims, showing an agent removing a holstered weapon from Pretti's waist before the shooting.The CBP review, based on body camera footage and internal documents, said officers attempted to move Pretti and a woman from the street and used pepper spray when they didn't comply. A struggle followed, during which a Border Patrol agent shouted “He's got a gun!” before both agents opened fire. The review, which is standard protocol, was shared with lawmakers but emphasized it contained no final conclusions. The identities and experience levels of the involved officers, particularly regarding urban crowd control, remain undisclosed. The incident has sparked national controversy and prompted a more restrained response from Trump in its aftermath.U.S. review of Alex Pretti killing does not mention him brandishing firearm | ReutersThe U.S. federal judiciary may only be able to continue full paid operations through February 4 if Congress does not pass funding legislation in time to avert a partial government shutdown. Judge Robert Conrad, who oversees the Administrative Office of the U.S. Courts, issued a memo warning of the looming shortfall, stating that while courts will remain open on February 2, they would quickly exhaust available funds by February 4. The uncertainty comes amid a broader funding standoff in Congress, where a six-bill package—including money for defense, housing, transportation, and a $9.2 billion judiciary allocation—is stalled.A key point of contention is the funding of the Department of Homeland Security (DHS), especially following the fatal shooting of U.S. citizen Alex Pretti by immigration officers. Senate Democrats are now refusing to approve DHS funding without reforms, throwing into doubt whether the broader package can pass. Although the bills had passed the Republican-controlled House and previously seemed poised for Senate approval, the Pretti incident has triggered renewed partisan gridlock.If no agreement is reached, this shutdown could affect the judiciary much sooner than the previous lapse in 2025, when courts operated for over two weeks before curtailing services. The current funding crisis threatens court staffing, case management, and broader access to justice. The memo underscores the fragile position of the courts in a prolonged budget standoff, with potential furloughs and suspended operations looming if a deal isn't struck.US judiciary may not be able to fully maintain operations past Feb. 4 in government shutdown | ReutersGoogle has agreed to pay $135 million to settle a proposed class action lawsuit accusing it of collecting Android users' cellular data without their consent. The settlement, filed in federal court in San Jose, California, still needs judicial approval. The lawsuit claimed that even when users closed Google apps, disabled location sharing, or locked their devices, Google continued to gather mobile data, which users had paid for through their carriers. Plaintiffs alleged this behavior amounted to “conversion,” a legal term referring to the unauthorized taking of someone's property for one's own use.Though Google denied any wrongdoing, it agreed to stop transferring data without user consent during Android device setup. The company will also update its Google Play terms to clearly disclose data transfers and give users simpler options to disable them. The case covers Android users dating back to November 12, 2017. If approved, users could receive up to $100 each from the settlement fund.Plaintiffs' attorneys described the agreement as the largest known payout in a conversion case, and they may seek nearly $40 million in legal fees. A trial had been set for August 2026 before the settlement was reached. Google has not commented on the resolution.Google to pay $135 million to settle Android data transfer lawsuit | ReutersGoogle to Pay $135 Million to Settle Android Phone-Data SuitA Christian substitute teacher, Kimberly Ann Polk, has lost her attempt to revive First Amendment claims against Maryland's Montgomery County Public Schools (MCPS) after refusing to use transgender students' pronouns. The Fourth Circuit Court of Appeals upheld a lower court's decision, finding Polk unlikely to succeed on claims that the district's pronoun policy violated her free speech and religious freedom rights. The court ruled she failed to show any evidence of religious hostility from the school board and did not meet the legal threshold to proceed with her constitutional claims.Polk argued that MCPS's policy, which requires staff to use names and pronouns aligned with students' gender identities and bars disclosing those identities to unsupportive parents, conflicted with her belief that gender is fixed at birth. While the court dismissed her constitutional claims, it allowed her separate Title VII claim for religious accommodation to proceed. This claim argues that MCPS violated federal civil rights law by not making space for her religious beliefs in its employment practices.The decision was split, with Judge J. Harvie Wilkinson dissenting. He called the school policy a “gross assault upon the First Amendment” and argued Polk had a valid free speech claim. The case reflects ongoing national legal tensions between employee religious rights and school policies supporting LGBTQ+ students. Notably, another federal appeals court had previously sided with a teacher in a similar dispute, signaling a potential circuit split.Christian Teacher Can't Undo Pronoun Case First Amendment Loss This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

In episode 499 James and Frank dive into the messy, exciting world of coding agents — from burning through Copilot credits and avoiding merge conflicts to practical workflows for letting agents run tasks while you sleep. They share real tips: break big features into bite-sized tasks, have agents ask clarifying questions, and use Copilot CLI or the new SDK to resolve conflicts, auto-fix lint/build failures, and automate mundane repo work. The conversation then maps the evolution from simple completions to autonomous loops like Ralph — a structured, repeatable process that generates subtasks, runs until acceptance tests pass, and updates your workflow. If you're curious how agents, MCPs and SDKs can elevate your dev flow or spark new automations, this episode gives pragmatic examples, trade-offs, and inspiration to start experimenting today. Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us ⭐⭐ Machine transcription available on http://mergeconflict.fm

Amir (Co-Founder at Humblytics) shares how he builds an “AI-native” company by focusing less on shiny tools and more on change management: assessing AI fluency across roles, setting the right success metrics, and creating shared context so AI can reliably ship work. The big theme is convergence—engineering, product, and design are collapsing into tighter loops thanks to tools like Cursor, MCP connectors, and Figma Make. Amir demos workflows like: AI-generated context files + auto-updated documentation, scraping customer domains to infer ICPs, turning screenshots into layered Figma designs, then converting Figma to working React code in minutes, and even running an “AI co-founder” Slack bot that files Linear tickets and can hand work to agents.Timestamps0:00 Introduction0:06 Amir's stance: “no AI experts” — it's constant learning in a fast-changing field.1:59 Cursor as the unlock: not just coding, but PM/strategy/design work via MCPs.4:17 The real problem: AI adoption is mostly change management + fluency assessment.5:18 The AI fluency rubric (helper → automator → augmentor → agentic) and why it matters.8:13 Cursor analytics: measuring AI-generated code and usage across the team.9:24 “New code is ~99% AI-generated” + how they keep quality via tight review + incremental changes.10:58 Docs workflow: GitBook connected to repo → AI edits docs and pushes live fast.14:02 ICP building: export Stripe customers → scrape domains with Firecrawl → cluster personas.17:45 Hallucination in the wild: AI misclassifies a company; human correction loop matters.34:43 Wild move: they often design in code and use an AI-generated style guide to stay consistent.38:10 Best demo: screenshot → Figma Make → layered design → Figma MCP → React code in minutes.45:29 “AI co-founder” Slack bot (Pixel): turns a bug report into a Linear ticket and can hand off to agents.48:46 Amir's wish list: we “solved dev”; now we need Cursor for marketing/sales → path to $1M ARR.Tools & technologies mentionedCursor — AI-first IDE used for coding and product/design/strategy workflows; includes team analytics.MCP (Model Context Protocol) — “connector” layer (Anthropic-origin) that lets LLMs interface with external tools/services.ChatGPT — used as a common baseline tool; discussed in the context of prompting practices and workflows.Microsoft Copilot — referenced via the law firm incentive story; used as an example of “usage metrics” gone wrong.Anthropic (AI fluency framework) — inspiration source for the helper/automator/augmentor/agentic rubric.GitBook — documentation platform connected to the repo so docs can be updated and published quickly.Firecrawl (MCP) — agentic web scraper used to analyze customer domains and infer ICP/personas.Stripe — source of customer export data (domains) to build ICP clustering.Figma — design collaboration tool; used here with Make + MCP to move from design → code.Figma Make — feature to recreate UI from an image/screenshot into editable, layered designs.Figma MCP — connector that allows Cursor/LLMs to pull Figma components/designs and generate code.React — front-end framework used in the demo for generating functional UI components.Supabase — mentioned as part of a sample stack when generating a PRD.React Router — mentioned as part of the sample stack in PRD generation.Slack — where Amir runs internal agents (including the “AI co-founder” bot).Linear — project management tool used for creating tickets from Slack/agent workflows.CI/CD — their deployment/review pipeline; emphasized as the human accountability layer.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

What's happening with Uno now that .NET 10 is released? Carl and Richard talk to Jérôme Laban and Sam Basu about the latest developments in Uno, including their collaboration with Microsoft on MAUI, WASM, and more! The conversation also digs into the role of AI in the Uno Platform, bringing MCPs into play to build applications faster and make migration from legacy systems easier. A lot is going on in development today!

What's happening with Uno now that .NET 10 is released? Carl and Richard talk to Jérôme Laban and Sam Basu about the latest developments in Uno, including their collaboration with Microsoft on MAUI, WASM, and more! The conversation also digs into the role of AI in the Uno Platform, bringing MCPs into play to build applications faster and make migration from legacy systems easier. A lot is going on in development today!

In this episode, I'm breaking down a guide from Ben Tossel on how you can actually build with AI agents without being technical. I walk through what he's shipped as a “non-technical” builder, why he lives in the terminal/CLI, and the exact workflow he uses to go from idea → spec → build → iterate. We also talk about the meta-skill here: treating the model like your over-the-shoulder engineer/teacher, and using every bug as a learning checkpoint. The takeaway is simple: pick a tool, ship fast, fail forward, and build your own system as you go. Ben's Article: https://startup-ideas-pod.link/Ben-Tossell-Article Timestamps 00:00 – Intro 01:04 – What Ben Has Shipped 03:21 – The Workflow: Feed Context → Spec Mode → Let The Agent Rip 07:52 – His Agent Setup 08:56 – Coding On The Go 10:07 – Things to Learn 13:33 – The New Abstraction Layer: Learning To Work With Agents 14:33 – Learning from Others 16:15 – Use The Model As Your Teacher (Ask Everything) 18:13 – Contributing to Real Products 19:13 – Why this is Different 21:31 – Asking Silly Questions 24:00 – Beyond “Vibe Coding”: A New Technical Class 24:43 – Vibe Coding is a game 27:12 – Fail Forward + Permission To Build And Throw Things Away 28:16 – Pick One Tool, Minimize Friction, Keep Shipping Key Points I don't need to be a traditional engineer to ship—I can learn by watching agent output and iterating. The terminal/CLI is the power move because it's more capable and I can see what the agent is doing. “Spec mode” works best when I interrogate the plan like a philosopher instead of pretending I understand everything. agents.md becomes my portable instruction manual so every new repo starts clean and consistent. The fastest learning path is building ahead of my capability and treating bugs as checkpoints—fail forward. Numbered Section Summaries The Thesis: Non-Technical Doesn't Mean Non-Builder I open with Ben's core claim: you can ship real software by working through a terminal with agents, even if you can't write the code yourself—because you can read the output and learn the system over time. Proof: What He's Actually Shipped I run through examples Ben built—custom CLIs, a crypto tracker, “Droidmas” experiments, an AI-directed video demo system, and automations that keep projects moving even when he's away from his desk. The Workflow: Context → Spec Mode → Autonomy High Ben's process is straightforward: talk to the model to load context, switch into spec mode to pressure-test the plan, link docs/repos for exploration, then let the model run while he watches and steers when needed. http://agents.md/ The “Readme For Agents” That Follows You Everywhere I explain why agents . md matters—one predictable place to tell your agent how you want repos structured, how to commit, how to test, and what “good” looks like so each session gets smoother. Coding On The Go: PRs, Issues, Phone, Telegram, Slack We get into the real “agent native” behavior: install the GitHub app, work via pull requests and issues, tag the agent to self-fix, and even push changes from your phone—plus using Slack as a one-person “product” with an agent in the loop. Learning The Primitives: Bash, CLIs, VPS, Skills I cover the building blocks Ben's learning: bash commands and repeatable terminal workflows, preferring CLIs over MCPs to save context, and using a VPS + syncing to keep projects always-on. The Mindset Shift: The Model Is The Teacher The real unlock is treating the model like your patient expert—ask everything you don't understand, bake “explain simply” into your agent instructions, and close knowledge gaps as they appear. Fail Forward, Pick One, Keep Shipping I end on the playbook: build ahead of your capability, treat it like play, give yourself permission to throw things away, and stop tool-hopping—pick one system and go deep. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

AI testing is everywhere — but clarity isn't. In this episode, Joe Colantonio breaks down the real test automation trends for 2026, based on data from 40,000+ testers, 510 live Q&A questions, and 50+ interviews with industry leaders. This isn't vendor hype or futuristic speculation. It's what working testers are actually worried about — and what they're doing next. You'll learn: Why 72.8% of testers prioritize AI, yet don't trust it alone The real reason AI testing feels harder instead of easier How integration chaos is blocking automation success Why "AI auditor" and "quality strategist" are emerging career paths What agentic AI, MCPs, and vibe testing really mean in practice How compliance, accessibility, and security will redefine QA in 2026 If you're a tester, automation engineer, or QA leader trying to stay relevant — this episode gives you the signal through the noise, and a clear path forward. If you're a software tester, automation engineer, or QA leader looking ahead to 2026, this episode lays out what's coming — and how to stay connected. Discount code: 100GUILDCOIN (https://testguild.me/podag26)

Jason Lemkin is the founder of SaaStr, the world's largest community for software founders, and a veteran SaaS investor who has deployed over $200 million into B2B startups. After his last salesperson quit, Jason made a radical decision: replace his entire go-to-market team with AI agents. What started as an experiment has transformed into a new operating model, where 20 AI agents managed by just 1.2 humans now do the work previously handled by a team of 10 SDRs and AEs. In this conversation, Jason shares his hands-on experience implementing AI to run his sales org, including what works, what doesn't, and how the GTM landscape is quickly being transformed.We discuss:1. How AI is fundamentally changing the sales function2. Why most SDRs and BDRs will be “extinct” within a year3. What Jason is observing across his portfolio about AI adoption in GTM4. How to become “hyper-employable” in the age of AI5. The specific AI tools and tactics he's using that have been working best6. Practical frameworks for integrating AI into your sales motion without losing what works7. Jason's 2026 predictions on where SaaS and GTM are heading next—Brought to you by:DX—The developer intelligence platform designed by leading researchersVercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the webDatadog—Now home to Eppo, the leading experimentation and feature flagging platform—Transcript: https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/182902716/my-biggest-takeaways-from-this-conversation—Where to find Jason Lemkin:• X: https://x.com/jasonlk• LinkedIn: https://www.linkedin.com/in/jasonmlemkin• Website: https://www.saastr.com• Substack: https://substack.com/@cloud—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Lemkin(04:36) What SaaStr does(07:13) AI's impact on sales teams(10:11) How SaaStr's AI agents work and their performance(14:18) How go-to-market is changing in the AI era(19:19) The future of SDRs, BDRs, and AEs in sales(22:03) Why leadership roles are safe(23:43) How to be in the 20% who thrive in the AI sales future(28:40) Why you shouldn't build your own AI tools(30:10) Specific AI agents and their applications(36:40) Challenges and learnings in AI deployment(42:11) Making AI-generated emails good (not just acceptable)(47:31) When humans still beat AI in sales(52:39) An overview of SaaStr's org(53:50) The role of human oversight in AI operations(58:37) Advice for salespeople and founders in the AI era(01:05:40) Forward-deployed engineers(01:08:08) What's changing and what's staying the same in sales(01:16:21) Why AI is creating more work, not less(01:19:32) Why Jason says these are magical times(01:25:25) The "incognito mode test" for finding AI opportunities(01:27:19) The impact of AI on jobs(01:30:18) Lightning round and final thoughts—Referenced:• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• SaaStr Annual: https://www.saastrannual.com• Delphi: https://www.delphi.ai/saastr/talk• Amelia Lerutte on LinkedIn: https://www.linkedin.com/in/amelialerutte/• Vercel: https://vercel.com• What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google): https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• ElevenLabs: https://elevenlabs.io• The exact AI playbook (using MCPs, custom GPTs, Granola) that saved ElevenLabs $100k+ and helps them ship daily | Luke Harries (Head of Growth): https://www.lennysnewsletter.com/p/the-ai-marketing-stack• Bolt: https://bolt.new• Lovable: https://lovable.dev• Harvey: https://www.harvey.ai• Samsara: https://www.samsara.com/products/platform/ai-samsara-intelligence• UiPath: https://www.uipath.com• Denise Dresser on LinkedIn: https://www.linkedin.com/in/denisedresser• Agentforce: https://www.salesforce.com/form/agentforce• SaaStr's AI Agent Playbook: https://saastr.ai/agents• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan• Brian Halligan's AI: https://www.delphi.ai/minds/bhalligan• Sierra: https://sierra.ai• Fin: https://fin.ai• Deccan: https://www.deccan.ai• Artisan: https://www.artisan.co• Qualified: https://www.qualified.com• Claude: https://claude.ai• HubSpot: https://www.hubspot.com• Gamma: https://gamma.app• Sam Blond on LinkedIn: https://www.linkedin.com/in/sam-blond-791026b• Brex: https://www.brex.com• Outreach: https://www.outreach.io• Gong: https://www.gong.io• Salesloft: https://www.salesloft.com• Mixmax: https://www.mixmax.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• Clay: https://www.clay.com• Owner: https://www.owner.com• Momentum: https://www.momentum.io• Attention: https://www.attention.com• Granola: https://www.granola.ai• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Palantir: https://www.palantir.com• Databricks: https://www.databricks.com• Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan• Rippling: https://www.rippling.com• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Pluribus on AppleTV+: https://tv.apple.com/us/show/pluribus/umc.cmc.37axgovs2yozlyh3c2cmwzlza• Sora: https://openai.com/sora• Reve: https://app.reve.com• Everything That Breaks on the Way to $1B ARR, with Mailchimp Co-Founder Ben Chestnut: https://www.saastr.com/everything-that-breaks-on-the-way-to-1b-arr-with-mailchimp-co-founder-ben-chestnut/• The Revenue Playbook: Rippling's Top 3 Growth Tactics at Scale, with Rippling CRO Matt Plank: https://www.youtube.com/watch?v=h3eYtzBpjRw• 10 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling): https://www.lennysnewsletter.com/p/10-contrarian-leadership-truths—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

The Gift of Simtheory: https://simtheory.ai---2025 Model Timeline: https://simulationtheory.ai/5fd0e964-4c41-4f9a-bbb3-2a398d8500f0It's the long-anticipated holiday special... except Mike and Kris forgot to prepare so it's just a normal episode.

Today I break down a big news item I think is flying under the radar: OpenAI quietly launched Skills for Codex, and I explain what that means (and how it differs from sub-agents and MCPs). I then share a fast-moving trend I'm watching and why it's a strong wedge for a simple app. After that, I recommend the to-do app I've used for 14 years and give away a startup idea. I close with a practical 6-step framework for going from idea → viral validation → mobile app launch in 2026. Timestamps 00:00 – Intro: the new format (news, trend, app, startup idea, framework) 00:40 – AI New Item: OpenAI launches Skills for Codex 05:45 – Trend: Face Yoga 07:56 – App Recommendation: Things 09:33 – Startup Idea: Call-an-expert service for non-developers stuck at 80% done 14:44 – Framework: Viral Mobile App Framework Key Points OpenAI “Skills” make Codex/ChatGPT more reusable and consistent by packaging repeatable workflows. A “skill” is the recipe, a “sub-agent” is extra worker instances, and an “MCP” is the tool access plug. Face yoga is an emerging sub-niche with clear app potential (simple routines, monetization via paid or ads). Last 20 is a practical marketplace idea: pay for 15 minutes of expert unblock help to finish the last 20%. Viral validation favors apps that are visually obvious, explainable in three words, and tied to insecurity-driven outcomes. Numbered Section Summaries OpenAI Skills: The Quiet Upgrade I walk through OpenAI's launch of Skills for Codex—reusable bundles of instructions/scripts/resources that can be called directly or chosen automatically. I'm excited because this makes agent workflows more consistent and scalable across tasks. The Foundation: Skill vs Sub-Agent vs MCP I clarify the taxonomy: a skill is the written playbook, sub-agents are extra “worker” copies of the model that split a big job, and MCPs are what let the model access external systems like tickets or repos. This is the mental model I want everyone using going into 2026. The Trend: Face Yoga As An App Wedge I share a niche trend I'm seeing—face yoga—and why it's a product opportunity similar to how yoga apps became huge. I call out the obvious app angles: guided routines, jawline/face-slimming programs, and content-driven growth via short videos. The Tool: Things (My Simple Focus System) I recommend the Things to-do app because it's simple: “Today,” “Upcoming,” and “Someday,” without a monthly fee. I also note what's missing (I'd like more AI features), but it still wins for focus if you don't want a “kitchen sink” system. The Startup Idea: Last 20 (Phone-A-Friend For Vibe Coders) I give away the idea: builders get stuck at 80% after using Cursor/Replit/V0, so Last 20 matches them with someone who's solved that exact wall before. The product is a fast screen-share session—problem solved—priced per session or bundled for teams/agencies, with the marketplace taking a cut. The Distribution Framework: Viral Validation → Launch I share a 6-step process: warm up the account, design a visually obvious app, build a tiny MVP fast, post daily until something hits, build the community before the product, then launch with a hard paywall and keep content rolling. It's a simple playbook for getting to organic traction in 2026. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

On episode 28 of Open Source Ready, Brian Douglas and John McBride reflect on the biggest themes that shaped open source and AI in 2025. From sustainability and security to MCPs, agents, and infrastructure, they revisit key conversations with guests and unpack how the industry evolved over the year. The episode closes with bold predictions for what 2026 may bring for developers, maintainers, and open source communities.

This week in the security news: Linux process injection Threat actors need training too A Linux device "capable of practically anything" The Internet of webcams Hacking cheap devices Automating exploitation with local AI models Lame C2 Smallest SSH backdoor Your RDP is on the Internet These are not the high severity bugs you were looking for Low hanging fruit Your TV is spying on you, again no such thing as "offensive security" MCPs and RCEs Browser extensions collecting your AI chats And flooding TikTok with AI influencers Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-905

This week in the security news: Linux process injection Threat actors need training too A Linux device "capable of practically anything" The Internet of webcams Hacking cheap devices Automating exploitation with local AI models Lame C2 Smallest SSH backdoor Your RDP is on the Internet These are not the high severity bugs you were looking for Low hanging fruit Your TV is spying on you, again no such thing as "offensive security" MCPs and RCEs Browser extensions collecting your AI chats And flooding TikTok with AI influencers Show Notes: https://securityweekly.com/psw-905

In this episode, we're joined by Youssef Hounat, product leader, ex-auditor, and (unexpectedly) freestyle-rap-ready builder of tools for accountants. He went from training at Ernst & Young to helping scale DataSnipper into one of the Netherlands' unicorns, and now he's building again as Head of Product at ComplianceWise. We unpack what's actually changing inside product teams: AI stops being a rewrite/search tool and becomes a teammate that takes real work off your plate. Youssef shares how the best teams reduce context switching, turn customer research into a habit, and use agentic workflows + MCPs to connect tools like email, Jira, Figma, and docs without becoming a “fleshy meat puppet” copy-pasting between 10 tabs. Here are some of the key questions we address: Why do 99% of teams still use AI wrong, and what mindset shift fixes it? How do you turn customer research into a continuous habit using transcripts + automated pipelines? What's a real example of AI helping product push back on “build this to close the deal” and finding the true request underneath? How do top teams use MCP + coding agents to move from idea → PRD → Jira tickets without leaving the terminal? What's the difference between a prototype you build to learn vs a product you build to earn — and why vibe-coded output can't go straight to production? How do you avoid reinventing the wheel and start with small weekly automations that compound? What's the real risk behind shadow AI usage  and how do you get IT onside instead of blocked?

This week in the security news: Linux process injection Threat actors need training too A Linux device "capable of practically anything" The Internet of webcams Hacking cheap devices Automating exploitation with local AI models Lame C2 Smallest SSH backdoor Your RDP is on the Internet These are not the high severity bugs you were looking for Low hanging fruit Your TV is spying on you, again no such thing as "offensive security" MCPs and RCEs Browser extensions collecting your AI chats And flooding TikTok with AI influencers Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-905

This week in the security news: Linux process injection Threat actors need training too A Linux device "capable of practically anything" The Internet of webcams Hacking cheap devices Automating exploitation with local AI models Lame C2 Smallest SSH backdoor Your RDP is on the Internet These are not the high severity bugs you were looking for Low hanging fruit Your TV is spying on you, again no such thing as "offensive security" MCPs and RCEs Browser extensions collecting your AI chats And flooding TikTok with AI influencers Show Notes: https://securityweekly.com/psw-905

Governor Moore calls a special legislative session to install a new speaker. The session will consider veto overrides but not redistricting. UMBC Maryland issues poll results show a clear message on what's on the minds of residents. A new affordable housing project in Montgomery County, Md, provides 98 units for $55 million. How to advocate to MCPS. The county tries to build sidewalks in the Takoma-Langley area but stranger danger is brought up. And more. Music by Kara Levchenko.

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-360

MCPS faces criticism for wrong calls and "gaslighting" over snow closure calls last week. Can this be done better? MCPS has announced adjustments to its ongoing boundary and program change proposals. The teacher's union announces Apple Ballot recommendations for next year's elections much earlier than the past. Montgomery County Council staff is now projecting declining revenues from property and income taxes. And more. Music by Kara Levchenko.

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Show Notes: https://securityweekly.com/asw-360

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-360

The MCP standard gave rise to dreams of interconnected agents and nightmares of what those interconnected agents would do with unfettered access to APIs, data, and local systems. Aaron Parecki explains how OAuth's new Client ID Metadata Documents spec provides more security for MCPs and the reasons why the behavior and design of MCPs required a new spec like this. Segment resources: https://aaronparecki.com/2025/11/25/1/mcp-authorization-spec-update https://www.ietf.org/archive/id/draft-ietf-oauth-client-id-metadata-document-00.html https://oauth.net/cross-app-access/ https://oauth.net/2/oauth-best-practice/ Show Notes: https://securityweekly.com/asw-360

Show DescriptionDave has famous people blindness, a cologne life hack is dropped, what is the killer feature of web components, MCPs are so done—focus on skills instead, should custom events exist, and thoughts about streaming HMTL. Listen on WebsiteWatch on YouTubeLinks Good Hang With Amy Poehler - The Ringer Sebastian Maniscalco Has a Little More Pepper in His Hair These Days - The Ringer Guitar Center Austin Music Store normansrareguitars.com – Norman's Rare Guitars The killer feature of Web Components - daverupert.com figma/code-connect: A tool for connecting your design system components in code with your design system in Figma Chrome DevTools (MCP) for your AI agent | Blog | Chrome for Developers Stop Using CustomEvent SponsorstldrawHave you ever wanted to build an app that works kinda like Miro or Figma, that has a zoomable infinite canvas, that's multiplayer, and really good, but you also want to build it in React with normal React components on the canvas? Good news! tldraw is the world's first, best, and only SDK for building infinite canvas apps in React. tldraw takes care of all the canvas complexities — things like the camera, selection logic, and undo redo — so that you can focus on building the features that matter to your users. It's easy to use with plenty of examples and starter kits, including a kit where you can use AI to create things on the canvas. Get started for free at tldraw.dev/shoptalk, or run npm create tldraw to spin up a starter kit.

פרק מספר 505 של רברס עם פלטפורמה - באמפרס מספר 89, שהוקלט ב-13 בנובמבר 2025, רגע אחרי כנס רברסים 2025 [יש וידאו!]: רן, דותן ואלון (והופעת אורח של שלומי נוח!) באולפן הוירטואלי עם סדרה של קצרצרים מרחבי האינטרנט: הבלוגים, ה-GitHub-ים, ה-Claude-ים וה-GPT-ים החדשים מהתקופה האחרונה.

Two interviews demonstrate the political problem of expectation-setting. Sunil Dasgupta talks to Byron Johns of the Montgomery County, Md, NAACP Parents Council, and the Black and Brown Coalition for Educational Excellence, about MCPS' proposal for six new programmatic regions and 30 magnet and special programs. And to Christine Condon, environment reporter for Maryland Matters, about the renewal draft of the interstate Chesapeake Watershed Agreement. Music by Kara Levchenko.

Data engineering is undergoing a fundamental shift. In this episode, I sit down with Nick Schrock, founder and CTO of Dagster, to discuss why he went from being an "AI moderate" to believing 90% of code will be written by AI. Being hands on also led to a massive pivot in Dagster's roadmap and a new focus on managing and engineering context.We dive deep into why simply feeding data to LLMs isn't enough. Nick explains why real-time context tools (like MCPs) can become "token hogs" that lack precision and why the future belongs to "context pipelines": offline, batch-computed context that is governed, versioned, and treated like code.We also explore Compass, Dagster's new collaborative agent that lives in Slack, bridging the gap between business stakeholders and data teams. If you're wondering how your role as a data engineer will evolve in an agentic world, this conversation maps out the territoryDagster: dagster.io Nick Schrock on X: @schrockn

In this episode of The Marketing Factor, Austin Dandridge sits down with Julian Modiano founder of Acuto and Weavely to unpack the future of data, automation, and AI inside modern marketing agencies.Julian's rare background blends deep PPC experience from Merkle and Brainlabs with true engineering chops as a Google Cloud developer — giving him a uniquely technical and marketer-centric view of what agencies actually need. We cover data warehousing, MMM vs attribution models, AI slop, automation pitfalls, BigQuery, Looker, TikTok's rise, and whether agencies should hire developers. This episode is loaded with practical insights for performance marketers, operators, founders, and anyone building the “agency of the future.”

Today we are talking about MCPs, AI Automators, and AI Agents with guest Marcus Johansson. We'll also cover AI Ecosystem Recipe as our module of the week. For show notes visit: https://www.talkingDrupal.com/529 Topics Understanding Model Context Protocol (MCP) AI Automators in Drupal Creating Complex Workflows with Automators Simple and Effective Automator Use Cases AI Image Alt Text and Contextual Understanding AI Tagging and Content Management Introduction to AI Agents in Drupal Challenges and Future of AI Agents Real-World Applications and Future of AI in Drupal Proliferation of Orchestration Tools Resources ai initiative issue queue Recipes from 1xInternet https://www.drupal.org/project/ai_recipe_image_classification https://www.drupal.org/project/ai_recipe_llm_optimized_content https://www.drupal.org/project/ai_recipe_seo_optimizer MCP xkcd Tool API Slack MCP Server Drupal MCP MCP Client JSON API wrapper Tagify Views Agent Context control center Marriage podcast Guests Marcus Johansson - workflows-of-ai.com marcus_johansson Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Martin Anderson-Clutz - mandclu.com mandclu MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to explore the AI capabilities of Drupal, but didn't know where to start? There's a Drupal recipe for that. Module name/project name: AI Ecosystem Recipe Brief history How old: created in Oct 2024 by Marcus Johansson (marcus_johansson of FreelyGive.io Versions available: 1.0.0-alpha2, which requires Drupal 10.3 or newer Maintainership Actively maintained Number of open issues: 2 open issues, both of which are bugs Module features and usage When you require and apply this recipe to your Drupal site, you'll be able to start working with a variety of LLMs and specialized AI-based services You'll be able to ingest unstructured content and map it to structured fields automatically. Or generate a detailed SEO analysis of your nodes. There are multiple translation tools, crawlers to help work across entire sites, and more. This recipe is likely something you would apply to a sandbox site, to understand the various ways to achieve something specific with AI and Drupal, and then apply whatever is best for your use case to your actual site build. But it's a useful resource for a Drupalist wanting to start exploring some of the growing list of options for working with AI, or someone familiar with AI tools who wants to start using them with Drupal.

In episode 25 of Open Source Ready, Brian and John sit down with Rachel-Lee Nabors. They explore how AI agents are reshaping the web, from the decline of traditional browsers to the rise of agentic experiences powered by small language models and MCPs. Rachel-Lee explains why advertising models are collapsing and why the next web may depend on direct payments and open source innovation.

MD Attorney General Brown has filed or is participating in over 100 lawsuits maintained against the Trump Administration. State Senate President Ferguson under pressure to allow mid-term redistricting, but is it feasible? MCPS issues  detailed FAQ on Immigration Response Protocol. As Silver Spring International Middle School moves toward closing, teachers and staff feel dislocated. Washington County Humane Society is offering a $10,000 reward for information on the cat-killer of Boonsboro. And more. Music by Kara Levchenko.

Join Simtheory & experience MCPs in action: https://simtheory.ai----00:00 - Chris Has a Merch Sponsor02:42 - In Defense of Sam Altman20:29 - Are We In An AI Bubble? & What is Working in The Enterprise?43:58 - Anthropic's Code Execution with MCP: Problems with MCP Context52:44 - Kimi-K2 Thinking Model Release1:00:45 - "In the Middle of a Bubble" Song----Thanks for your support and listening, we appreciate you!Join our Discord: https://discord.gg/TVYH3HD6qs

The cities of Gaithersburg and College Park vote today.  After days of persuasion, MD Gov Moore approves $62 million in state funds to make up for the SNAP shortfall. District 16 Delegate Marc Korman on how MDOT uses a road design manual to say no. Prince George's County Planning Board does not have enough members to constitute a quorum. MCPS faces continued resistance against planned programming changes. Music by Dear Daria.

Join Simtheory to experience MCPs: https://simtheory.ai----00:00 - OpenAI's State of the Union & Why Cursor's Composer Model is a Threat44:26 - Does MCP Need To Die? Our Thoughts on State of MCP and Why The Client Implementations are the Problem1:07:53 - 1X NEO The Home Robot LOLZ1:28:05 - Greg Brockman, A Sad Song.----Thanks for listening and your continued support. We appreciate you.

MCPS' plans to expand magnet education and change school boundaries potentially turns the nation's 14th largest school system toward becoming six mini-districts. Sunil Dasgupta talks with MCPS officials leading the program changes, Jeannie Franklin and Angela McLane, about their plans, the challenges, and the possible consequences of the reorganization. Music by Seth Kibel and Flo Anito.

The Blueprint: Mastering Claude Skills for Amazon Seller Optimization Episode Overview In this episode, Danny McMillan explores the transformative potential of Claude skills for Amazon sellers, demonstrating how AI can streamline processes that typically take hours into mere minutes. He provides insights on optimizing token efficiency and developing quick, impactful applications tailored for e-commerce. This episode explores ai skills and their applications in e-commerce, token efficiency and data analysis strategies with practical insights for immediate implementation. Key Takeaways Claude skills allow Amazon sellers to reduce complex tasks that would ordinarily take days into simple 10-minute executions. Understanding and optimizing token usage is critical for maximizing the efficiency of AI tools when analyzing product data. Chapter Markers Time Chapter Description 00:01 Introduction to Claude Skills Danny introduces the concept of Claude skills and the power of AI in reducing task time significantly for Amazon sellers. 00:40 Search Term Report Demo Danny shares an example of generating a search term performance report using Claude skills, illustrating the process and outcomes. 03:00 Building Dashboards Discussion on how to build effective dashboards and the advantages of using Claude's design capabilities. 07:30 Understanding Skills vs. Sub-Agents Danny explains the distinction between skills and sub-agents, focusing on their functionalities and applications. 12:00 Using MCPs for Efficiency An overview of Model Context Protocols (MCPs) and their role in connecting AI systems for better task management. 21:30 Token Management Strategies Danny discusses strategies for managing token usage effectively during AI interactions. 37:00 Key Insights from Analysis He emphasizes how to derive actionable insights from data analysis, focusing on conversion leaks and user behaviors. 42:00 Conclusion and Future Outlook Danny wraps up by motivating listeners to embrace AI in their Amazon businesses as a tool for innovation and efficiency. Notable Quotes "The opportunity isn't just in AI; it's taking AI and fixing the broken parts of your business." Resources Mentioned

Montgomery County Public Schools in MD proposes a whopping 6-year $2.7 billion capital plan that includes a countywide elementary school boundary study as enrollment numbers head downward. A school board meeting revisits a recent I Hate Politics episode with MD House of Delegates Majority Leader David Moon who proposed the state not funding school construction projects where there are open seats in nearby schools. In College Park, MD, Mayor Fazlul Kabir wants more police services from Prince George's County for the taxes his residents pay. And more. Music by Dear Daria.

In episode 581 of Lawyerist Podcast, Zack Glaser talks with Drew Bloom of Affinity Consulting Group about how artificial intelligence is evolving from assistants into agents that can act on a lawyer's behalf. Instead of just suggesting edits or answers, agentic AI can redline contracts, search multiple documents, and connect across platforms to finish tasks before asking for approval.   Drew explains what this shift means for law firms, what tools are likely to appear in the next 12–24 months, and why preparing your data—through structure, metadata, and integrations—matters more than ever. He also shares practical ways to start experimenting with AI connectors in tools you already use, so you're ready when agentic features become standard in everyday legal work.    Listen to our other episodes on AI in Law:  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  #565: Becoming the AI Driven Leader, with Geoff Woods Apple | Spotify | LTN  #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell Apple | Spotify | LTN  #553: AI Tools and Processes Every Lawyer Should Use, with Catherine Sanders Reach Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #538: AI Is Making Law Firms Obsolete, with Alistair Vigier Apple | Spotify | LTN    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters/Timestamps:  0:00 – Introduction & Conferences Recap  2:48 – From SEO to AEO: The New Search Frontier  6:34 – Meet Drew Bloom: AI for Law Firms  8:48 – What Makes AI “Agentic”?  13:47 – Assistants vs. Agents: How They Differ  16:00 – Redlining & Real-World Use Cases  20:41 – MCPs and Custom AI Connections  27:30 – The Future: Multi-Tool AI & Mobility  29:48 – Preparing Your Firm: Data & Metadata  34:38 – Where Lawyers Can Experiment Safely