Podcasts about Apis

How to Build Your Own AI VP of Marketing Step-by-Step with SaaStr's Chief AI Officer SaaStr's CAIO Amelia LeRutte built 10K, SaaStr's AI VP of Marketing, live on stage at SaaStr AI Annual 2026 - and you can follow along and build your own right now. 10K started as a simple dashboard in January. Five months later it runs autonomous email campaigns, generates daily marketing ideas grounded in real data, sends attendee newsletters, and acts as a full co-pilot for SaaStr's entire go-to-market. In this session, Amelia walks you through the exact spec, the sample data, and the live build so you can deploy your own version before the video ends. What you'll learn: How to write a spec that gives your agent one clear goal and actually produces useful outputs How to connect Salesforce, your marketing automation platform, social media, and other APIs so your agent has real data to work with The stair-stepping approach: build one agentic workflow at a time instead of trying to automate everything at once How to set guardrails so your agent runs campaigns semi-autonomously without emailing your entire database by accident What 10K does today versus what it could do on day one, and what the realistic 30, 60, and 90-day build looks like Resources from this session: Grab the spec and sample historical data to build your own: saastrannual.com/resources Free Replit credits: use code REPLITSAASTR Read 10K's own take on whether he is a VP of Marketing: saastr.com/is10kavpofmarketing About this session: Recorded live at SaaStr AI Annual 2026 in San Mateo. Part of SaaStr's ongoing series on building and deploying AI agents

In this special HITEC edition of The Modern Hotelier, hosts David Millili and Steve Carran sit down with Apaleo co-founder Philip von Ditfurth and SVP Revenue Florian Montag to explore the future of hospitality technology, AI, and open platform architecture.The conversation dives into why Apaleo chose a composable, API-first approach long before it became an industry trend, how leading hotel brands are leveraging technology to improve both guest experiences and operational efficiency, and what hoteliers need to do today to prepare for the rise of agentic AI.Philip shares lessons learned from building technology platforms across fragmented industries, while Florian offers a hotelier's perspective on AI adoption, governance, and the importance of creating a future-ready technology foundation. Together, they discuss why flexibility, open infrastructure, and strategic technology decisions will define the next generation of successful hotel operators.Key Topics Include: The power of open APIs and composable hospitality technology  Why AI readiness starts with the right technology foundation  Lessons from innovative hotel brands like citizenM Building a future-proof hotel tech stack  The balance between guest experience and operational efficiency Watch the FULL EPISODE on YouTube: https://youtu.be/uBwm8n1ExM8Links:Philip on LinkedIn: https://www.linkedin.com/in/philip-von-ditfurth-1a570/ Florian on LinkedIn: https://www.linkedin.com/in/fmontag/Apaleo: https://apaleo.com/For full show notes head to: https://themodernhotelier.com/episode/296Follow on LinkedIn: https://www.linkedin.com/company/the-..Join the conversation on today's episode on The Modern Hotelier LinkedIn pageConnect with Steve and David:Steve: https://www.linkedin.com/in/%F0%9F%8E...David: https://www.linkedin.com/in/david-mil.

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.In this episode, Craig Thomas, Sr. Solutions Engineer at Wallarm, examines what rogue AI actually means in practice, where the risk materializes, and what it takes to move from detection to control.QuestionsWhen we say "rogue AI," what do we actually mean? Is it only malicious AI, or can legitimate systems become risky too?What are the most common ways AI systems drift outside intended boundaries? Once an organization understands what rogue AI looks like, where does that loss of control typically begin, and who is responsible for preventing it?How do shadow LLMs, unsanctioned agents, and unmanaged AI workflows create risk even when no attacker is involved? If AI drift often starts with normal business activity, where do shadow AI systems fit into that picture?Why can an AI action look legitimate in isolation but still create serious business, security, or compliance risk when viewed as part of a larger sequence of actions? As these shadow systems become more embedded in everyday workflows, why is it so difficult to recognize risk in real time?How do APIs, integrations, and connected systems amplify the impact of those seemingly legitimate actions? What changes once those actions begin flowing across APIs, business applications, and interconnected systems?What kinds of unexpected outcomes worry CIOs and CISOs most today when AI systems are operating across those interconnected environments? As that connectivity expands, what are security and business leaders most concerned about?And given those concerns, what does meaningful oversight actually look like when AI systems can act at machine speed? How should organizations distinguish between the experimentation they want to encourage and the unmanaged AI behavior they need to control? One challenge is balancing governance with innovation. How do organizations avoid slowing down AI adoption while still maintaining control?We know that many organizations can detect risky AI behavior after the fact. But if they can't stop it in real time, what critical gap still remains? Even with governance programs in place, many organizations are still operating reactively. In closing, what's the key difference between detecting AI risk and actually controlling it?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/cu-craigthomas/Full AbstractIn this episode, Craig Thomas, Sr. Solutions Engineer at Wallarm, examines what rogue AI actually means in practice, where the risk materializes, and what it takes to move from detection to control.Not every AI threat starts with an attacker. Some of the most consequential AI risks organizations face today come from systems that are working exactly as designed, just not quite as intended. An agent that calls an API it was never supposed to reach. A workflow that exposes PII because nobody mapped the data path before deployment. A shadow LLM standing up in an AWS account because a developer needed to move fast and approval processes were slow. None of these require malicious intent to create serious business, security, or compliance exposure.Rogue AI is a broader category than most governance frameworks account for. It includes the unsanctioned, the unmonitored, and the unpredictable: AI systems that drift outside intended boundaries, take actions that look legitimate in isolation but create risk in sequence, and operate at machine speed in ways that make after-the-fact detection feel like a consolation prize. The gap most organizations have is not in detecting that something went wrong. It's closing the loop fast enough to matter.Meaningful AI governance requires more than policy and discovery. It requires the ability to observe AI behavior at runtime, understand what triggered each action and what it touched, and enforce boundaries before consequences compound. That closed AI control loop, from knowing what is running to seeing what it does to stopping what it should not, is the operational standard AI transformation demands. Most organizations are not there yet.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

How prepared are businesses for a new wave of attacks targeting the apps, APIs, and AI systems now powering digital growth? In this episode, I speak with Richard Meeus from Akamai Technologies about the latest findings from Akamai's State of the Internet report, with a focus on apps, APIs, and DDoS activity across EMEA. Richard explains why APIs have become such an attractive target for attackers, especially as AI adoption accelerates. We discuss the sharp rise in API abuse, the growing use of automation to industrialize attacks, and why many organizations still lack visibility into the APIs exposing sensitive data. We also examine the rise in layer 7 DDoS attacks, how attackers are combining multiple techniques to distract defenders, and why sectors such as retail and manufacturing are facing growing pressure. Richard also shares his view on the geopolitical forces shaping DDoS activity and why hacktivist groups continue to use these attacks as a public statement. Another major theme is the security risk around AI chatbots. As more organizations deploy chatbots to improve customer service, Richard explains how overly helpful AI systems can expose data, respond to prompt injection attempts, or create new blind spots if the right controls are missing. But this conversation is not all about risk. Richard also explains why AI can help defenders strengthen visibility, improve testing, analyze logs faster, and support more proactive security strategies. So, as businesses race to adopt AI and modern digital services, are they paying enough attention to the APIs and infrastructure sitting underneath it all? Share your thoughts.

In this episode of Tank Talks, recorded live at the Global Startups Conference, Matt Cohen and John Ruffolo take the stage for a wide-ranging conversation on the future of Canada's innovation economy, the AI infrastructure race, and why this moment feels different, even if John still refuses to fully believe “this time is different.” The conversation opens with SpaceX's historic IPO, massive valuation hype, and the question of whether public market demand can support a new wave of AI and frontier tech giants like OpenAI and Anthropic.Matt and John then dig into one of the biggest strategic questions facing founders today: should startups build on top of frontier AI models, or will those platforms eventually come for their margins? John draws a sharp comparison to Hootsuite's dependence on social media APIs, warning founders not to build businesses where a monopolistic platform can eventually “come calling.” From LLM unit economics and inference costs to local models, edge compute, AI sovereignty, and Canada's weak position in the full AI stack, this episode breaks down why real moats may come from deep tech, defense, energy, chips, space infrastructure, and hard-to-build businesses.The discussion also tackles Canada's AI strategy, the tension between innovation and regulation, the rise of dual-use defense startups, the shortage of domestic growth capital, and whether Canada is becoming a farm team for U.S. acquirers. John and Matt close with a candid look at family offices, immigrant founders, Canadian ambition, and what actually separates fundable founders from the noise: purpose, focus, and the ability to build something hard when everyone else is chasing the latest shiny object.SpaceX's IPO and the return of the hype machine (02:48)Matt and John open with the massive SpaceX IPO, its soaring valuation, and whether the market is being driven by fundamentals or pure scarcity-fueled hype. John argues that discounted cash flows still matter, even when investors are caught up in the next great frontier tech story.Satya Nadella's warning to AI founders (05:56)Matt brings up Satya Nadella's warning about relying too heavily on frontier models. The discussion explores why businesses built on top of OpenAI, Anthropic, or other LLM platforms may eventually face direct competition from the very infrastructure they depend on.Canada's AI strategy: long overdue, but too unfocused? (16:14)Matt and John assess the government's AI strategy and the promise that Canadian AI adoption could add massive GDP growth. John says the strategy contains useful objectives, but risks becoming a laundry list without a clear answer to the question: which pedal are we actually pressing?Building trust in AI without creating regulatory capture (21:46)The audience asks how Canada can build trust in AI adoption. John argues for clear guardrails, but warns that large AI players may eventually welcome heavy regulation because it protects incumbents and locks out smaller competitors.Defense tech is hot again, but not every startup is real (25:19)Matt and John discuss the surge of interest in dual-use defense technology. John warns that when government money appears, everyone suddenly claims to be a defense company, making it harder to separate serious builders from PowerPoint tourists.Is building in Canada patriotic or financially irrational? (33:19)Matt asks the blunt question: in 2026, is staying in Canada a patriotic endeavor or a financial mistake? John argues Canada has the talent, ecosystem, and raw materials, but lacks confidence and ambition at the capital layer.Why Canada needs real growth capital, not just early-stage funding (37:34)John explains why he created Mavericks to address the gap in Canadian growth equity. The issue is not founder ambition, but the lack of domestic capital willing to write meaningful checks once companies need to scale past the early stage.Family offices, education gaps, and Canada's missing innovation capital (43:56)Matt explains why many Canadian family offices are still learning how venture and startup investing work. Unlike real estate or private equity, venture requires patience, a tolerance for the J curve, and a different understanding of risk and return.Canada's AI edge may be hiding in resources, minerals, and chip substrates (49:43)The episode closes with a discussion of Canada's possible edge in AI infrastructure through natural gas, rare earth materials, zinc byproducts, indium phosphide, and semiconductor supply chains. Matt and John argue that Canada's issue is not a lack of resources, but a lack of permission, capital, and long-term conviction to build around them.Connect with John Ruffolo on LinkedIn: https://ca.linkedin.com/in/joruffoloConnect with Matt Cohen on LinkedIn: https://ca.linkedin.com/in/matt-cohen1Visit the Ripple Ventures website: https://www.rippleventures.com/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit tanktalks.substack.com

Steve Engelbrecht started Sitation from a rental apartment in Somerville, Massachusetts — five weeks after being laid off in the chaos that followed 9/11. Today it's a 62-person commerce enablement firm with a client roster of household names and a defensible niche the big SIs can't easily replicate.Recorded live at Salsify's Digital Shelf Summit in Atlanta, Christian sat down with Steve — founder and CEO of Sitation — for a conversation about building a services-plus-software business in commerce, how AI is rewriting the buy-vs-build equation, and why a 62-person specialist can out-maneuver Deloitte Digital and Accenture Song in product data.What we cover: The Sitation origin story and the early bet on PIM before it was a category, the three pillars of the business today (systems integration, managed services, and proprietary software), why the software-services convergence is playing out in real time, the "headless PIM in 2026" conversation with Salsify's CEO and what AI agents, MCP, and CLIs mean for the future of product data, how AI lowered the bar for participation and changed buy-vs-build, the Philips case study — a 111% conversion lift on a single SKU by optimizing content, not price, why 90%+ of Sitation's team came from industry and how that makes them stickier than the big SIs, and how Steve thinks about Sitation's future: international expansion as a platform vs. fitting neatly into a larger strategic's plans.⏱️ TIMESTAMPS0:26 — Welcome from Salsify's Digital Shelf Summit in Atlanta1:00 — The origin story: first day of work September 10, 2001, laid off five weeks later2:11 — Early to commerce enablement — and Boston as a commerce software hotbed3:02 — What Sitation does today: the three business segments5:25 — The 2019 "pick a lane" problem and why software-services convergence vindicated the strategy6:16 — How AI is changing the buy-vs-build equation7:36 — The "headless PIM in 2026" conversation with Salsify's CEO8:33 — Salesforce going headless and the new customization opportunity for SIs10:00 — APIs, the MCP revolution, CLIs, and why schema matters for AI agents11:05 — How a 62-person firm out-maneuvers multi-thousand-person SIs11:42 — Why this is a massive market, not a zero-sum game12:30 — The Philips case study: 111% conversion lift on one SKU without touching price13:30 — Why multinationals choose a boutique over Deloitte Digital or Accenture Song15:46 — The strategic question: platform play or acquisition target?16:29 — International expansion as the organic (or capital-backed) growth path17:40 — Why Sitation's platform credentials make it an attractive, hard-to-replicate target18:45 — Why you can't build Sitation's early-mover position — you have to buy it

today we examine the 2026 landscape of artificial intelligence, specifically comparing proprietary and open-source models regarding privacy, cost, and legal compliance. Organizations must choose between proprietary APIs, hosted open-source solutions, and self-hosting to balance performance with data sovereignty requirements like HIPAA or the EU AI Act. While proprietary models currently lead in complex reasoning, open-source weights offer significant long-term cost savings and transparency for high-volume users. However, true total cost of ownership includes hidden expenses such as specialized talent, hardware infrastructure, and continuous model maintenance. Legal frameworks like the EU AI Act introduce strict obligations for high-risk systems, making explainability and governance essential for enterprise deployment. Ultimately, the transition from experimental pilots to industrialized AI factories requires mastering token economics and navigating the evolving regulatory environment.

The Cycling Tech Brief: the cycling tech that actually matters this week — and whether to update, wait, or ignore.Strava launches official MCP connector giving paid subscribers direct conversational access to their full training history via Anthropic's Claude — Monitor — if you're a paid Strava subscriber and want AI-assisted training analysis, the connector is live now and worth experimenting with; just know it's read-only and Claude-only for the moment.CPSC warns riders to immediately stop using Ridstar Q20 and Q20 Pro e-bikes — 11 fire incidents confirmed, manufacturer refuses recall — Don't buy — if you own a Ridstar Q20 or Q20 Pro, stop riding and charging it immediately, remove the battery, and contact your local household hazardous-waste program for disposal.Florida man sues Amazon and Chinese e-bike brand Bigniu after battery explodes during charging, causing severe burns and a residential fire — Monitor — if you own a Bigniu BG10 or any high-wattage moped-style 'e-bike' bought through Amazon without UL or equivalent certification, stop charging it unattended and check for any CPSC action.Garmin kicks off its biggest annual spring sale — deepest-ever discount on Fenix 8 Pro — while Apple's watchOS 27 (announced at WWDC) brings cycling power zone APIs and untethered Workout Buddy to the Apple Watch ecosystem — Monitor — if you've been waiting to buy a Fenix 8 Pro or Edge 1050, this is the window; for Apple Watch cyclists, wait for watchOS 27 public beta in July before committing to new workflows.TrainingPeaks-adjacent editorial debate: FTP vs. Critical Power — are coaches and platforms measuring the same physiological ceiling? — Monitor — no platform change to act on today; but if your training zones have felt off, ask your coach whether a CP test protocol would give you more accurate data than your current FTP estimate.Daily cycling intelligence from SEMIPRO CYCLING, produced with AI-assisted research, scripting, and synthetic voice.

By Doug Green “Governance is absolutely necessary. It's no longer optional.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Rajesh Kari, Senior Director of Products and Solutions at Versa Networks, about the emerging security challenges created as agentic AI moves into live network and security operations. Kari says Versa Networks is a leader in SASE, offering a unified platform that brings together networking, security and operations across enterprise infrastructure. As AI becomes more embedded in operations, Versa is focused on a new zero trust challenge: controlling not only users and devices, but also the hidden AI-driven sub-actions that can touch production systems. Kari explains that agentic AI is different from traditional AI because it can take action on behalf of users. Rather than simply answering a prompt or returning information, an agent may break a task into sub-queries, call APIs, use credentials, access systems and make changes inside the infrastructure. Those hidden sub-queries can create risk if organizations cannot see, validate and govern what the agent is doing. “People build agents. They know what the objective of the agents are,” Kari says. “But under the hood, what the agent actually deploys, which APIs it accesses, and what kinds of authorization and authentication it leverages can be unknown.” The podcast explores how this creates new exposure for enterprises, MSPs and channel partners. If an AI agent gains access to credentials or production systems, organizations need constant verification, validation and governance around each action. Kari says agentic AI can also hallucinate or generate unnecessary sub-queries, creating additional security and operational risk. Versa is addressing this through Versa Verbo and its Zero Trust MCP architecture. Verbo is designed to help network practitioners gain visibility, management and analytics through natural language interactions. Instead of searching through hundreds of alerts or dashboards, operators can ask questions about outages, performance issues, configuration changes, security incidents and branch health. The Zero Trust MCP architecture extends that capability by applying governance and access control to AI-driven actions. Kari says this enables AI models and agents to query Versa infrastructure securely, while maintaining controls around authentication, authorization, APIs and operational workflows. For MSPs and channel partners, Kari sees an important opportunity. Many organizations want to deploy AI quickly but do not have the internal capability to build governance infrastructure around it. Partners that develop practices around policy architecture, deployment, ongoing governance and human-in-the-loop approval can help customers adopt agentic AI more safely. Kari says AI operations copilots are becoming standard in SASE and network platforms. Network teams, infrastructure managers and executives increasingly want to use natural language to understand the health of their infrastructure instead of relying only on dashboards. But as those tools become more powerful, governance becomes the deciding factor in adoption. “If the agent has gained access into certain files or visuals which has violated any particular compliance standards, it becomes the responsibility of the organization to prove it,” Kari says. For Versa, the message is clear: agentic AI can simplify operations and accelerate decision-making, but it must be governed from the beginning. Zero trust principles need to be built into every AI agent connection. Learn more at www.versa-networks.com  

Part 1 of a 2-part episode From WEDI's Spring 2026 Conference, WEDI Board Member Pam Grosze (PNC Bank) moderates a panel of major EHR leaders who share what's live at scale versus still in pilots, where interoperability is breaking down in real clinical workflows, and the biggest blockers to moving from point integrations to broad payer coverage without increasing burden. The panel: Hans Buitendijk, Senior Director, Interoperability Strategy, Oracle Health Jason Vogt, Manager Development, APIs and Structured Documents, Meditech Sean Cotter, Software Developer, Epic Mohammad Chebli, VP of Interoperability, NextGen Gillian McCabe, Director of Product Management, Authorization Management, athenahealth

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

AI agents can search the web, manipulate files, run commands, make API requests, access cloud platforms, and operate fully autonomously. They are powerful, they are here, and most organizations have no security controls around them whatsoever.In this episode, Brad and Spencer break down the five major AI agent risk categories security teams need to understand right now, using Simon Willison's "lethal trifecta" as a framework and building on it with two additional risk areas they see in the field.In this episode:- What an AI agent actually is and why the definition matters before you can secure it - What AI agents are capable of: files, commands, APIs, memory, cloud access, and autonomous execution - The lethal trifecta: access to private data, exposure to untrusted content, and external communication - Risk category 1: Access to private data - why agents inherit your permissions and why that is dangerous - Risk category 2: Exposure to untrusted content and prompt injection attacks - Risk category 3: External communication and data exfiltration (including a real canary token experiment) - Risk category 4: Privileged access and limiting blast radius with least privilege identities - Risk category 5: Autonomous actions, approval gates, rate limits, and kill switches - Why backups, rollback plans, and recovery playbooks are more important than ever in an AI agent worldResources mentioned:- Simon Willison's lethal trifecta post (June 2025): https://simonwillison.net - Zach Korman's ContinuumCon sandbox escape workshop: https://continuumcon.com/schedule/ - offsec.blog | securit360.comNeed a pen test before end of year? Q3 slots are filling up fast. Blog: https://offsec.blog/Youtube: https://www.youtube.com/@cyberthreatpovTwitter: https://x.com/cyberthreatpovFollow Spencer on social ⬇Spencer's Links: https://spenceralessi.comWork with Us: https://securit360.com | Find vulnerabilities that matter, learn about how we do internal pentesting here.

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

In this episode, we explore the functionalities of MCPs and how they enhance the capabilities of AI tools like Claude and ChatGPT. We also discuss the differences between MCPs and APIs, share practical use cases, and highlight some of the most effective MCPs available for maximizing your AI integrations.Chapters00:00 Introduction to MCPs02:00 Understanding APIs vs. MCPs03:59 Setting Up MCPs Easily09:58 Top MCP Tools and Recommendations15:01 Benefits of Using MCPs Show LinksGet the AI Box MCP: ⁠⁠https://aibox.ai/mcpHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.We all know that you can't secure what you can't see, which is why AI discovery is a first principle for AI security, but what's really required for AI discovery? It's more than just LLMs and agents. Today's episode is entitled AI Discovery isn't just AI, and joining us is Tim Ebbers, Field CTO at Wallarm. Tim and I discuss the real requirements for AI discovery, and why the connections between assets and infrastructure are part of the puzzle.QuestionsSecurity teams often say, “You can't secure what you can't see.” In the context of AI, what exactly do they need to see? What supporting infrastructure matters most when mapping AI risk, such as APIs, cloud services, Kubernetes workloads, data stores, identities, and external integrations?Where does shadow AI typically appear first inside an enterprise environment? How can it be prevented?How do relationships between assets change the risk picture? For example, why does it matter which API an agent can call or which data source a workflow can reach?What makes AI discovery harder than traditional application or cloud asset discovery? What are the similarities and differences?How should organizations prioritize what they find? Is every AI asset equally risky?What does “continuous discovery” mean in a world where AI services can be deployed, connected, or changed in minutes?Once an organization has visibility into its AI footprint, what's next? What are the biggest gaps in today's AI security programs?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/tebbers/Full AbstractMost security teams know that you can't secure what you can't see. In the context of AI, that rule turns out to be a lot harder to satisfy than it sounds.AI discovery isn't just a matter of cataloging your LLMs and agents. The real picture includes the APIs those agents call, the data sources they reach, the infrastructure they run on, and all the AI that got deployed without anyone telling security. Building that picture requires understanding relationships, not just inventories, because risk doesn't live in assets in isolation. It lives in what those assets can do together.In this episode, Tim Ebbers, Field CTO at Wallarm, examines what a complete AI control loop actually requires at the discovery stage: what needs to be visible, why the connections between assets change the risk calculation, where shadow AI tends to appear first and how it becomes unmanaged risk, and what makes AI discovery structurally different from traditional cloud or application discovery. It also looks at what organizations should do once discovery is in place, and where the biggest gaps remain in AI security programs today.If your team is building toward continuous AI governance, this is where that work starts.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Access to healthcare doesn't start at the doctor's office—it starts with transportation.In this episode of Transit Unplugged, Paul Comfort sits down with Steven Feist, Vice President and Chief Operating Officer of Coordinated Transportation Solutions (CTS), to explore the world of Non-Emergency Medical Transportation (NEMT) and its growing role in healthcare access. Steven explains how transportation brokers connect Medicaid and Medicare beneficiaries with the rides they need to reach appointments, treatments, pharmacies, and other critical services.The conversation examines how NEMT has evolved over the past two decades, from paper manifests and phone-based eligibility checks to sophisticated platforms powered by GPS tracking, mobile apps, APIs, and virtual agents. Steven also shares how CTS partners with transit agencies such as SEPTA and coordinates with ADA paratransit providers to create more efficient, cost-effective transportation networks.Paul and Steven discuss:What NEMT is and why it matters The relationship between healthcare access and transportationHow transportation brokers coordinate rides across multiple modesPartnerships between NEMT providers and public transit agenciesThe role of ADA paratransit in medical transportationTechnology's impact on trip scheduling, eligibility, and customer serviceEconomies of scale in statewide and regional transportation programsThe future of autonomous vehicles and telehealth in NEMTWhy breaking down transportation silos is essential for better health outcomesWhether you work in transit, healthcare, mobility management, or public policy, this episode offers valuable insights into one of the most important—and often overlooked—segments of the transportation industry.CreditsHost and Producer: Paul ComfortExecutive Producer: Julie GatesProducer: Chris O'KeeffeEditor: Patrick EmileAssociate Producer: Cyndi RaskinBrand Design: Tina OlagundoyeTransit Unplugged is brought to you by Modaxo, passionate about moving the world's people.For more information, visit: www.Transit Unplugged.comDisclaimer: The views and opinions expressed in this program are those of the guests, and do not necessarily reflect the views or positions of Modaxo Inc., its affiliates or subsidiaries, or any entities they represent (“Modaxo”). This production belongs to Modaxo, and may contain information that may be subject to trademark, copyright, or other intellectual property rights and restrictions. This production provides general information, and should not be relied on as legal advice or opinion. Modaxo specifically disclaims all warranties, express or implied, and will not be liable for any losses, claims, or damages arising from the use of this presentation, from any material contained in it, or from any action or decision taken in response to it.

Join Natalie Buda Smith, Director of AI at the Library of Congress, as she explores how digital interfaces and AI are revolutionizing access to human knowledge and cultural memory. In this episode, you'll learn about the shift from primary source access to information intermediated by AI, the importance of preserving historical context through multiple digitization versions, and the challenges of navigating proprietary data and open APIs. Natalie Buda Smith shares firsthand insights into empowering staff with AI tools, fostering personalized information delivery, and how collaborative, AI-powered projects are surfacing new connections and creative storytelling across diverse collections.

Topics covered in this episode: pi + superpowers Terminal: Warp.dev + OhMyZSH {Blink,kitty} + mosh + tmux Claude code MacWhisper or Handy Tailscale Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Six Feet Up is hosting a LinkedIn Live Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Calvin: @calvinhp@sixfeetup.social / @calvinhp.com (bsky) Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Calvin #1: pi + superpowers terminal-first, open-source coding agent Session management is a first-class citizen Extension model is what makes pi special — it's aggressively composable Superpowers brings a structured software development methodology as loadable skills Steps back and asks you what you're really trying to do “hand you the keys to the car” mode vs guardrails might not be for everyone Michael #2: Terminal: Warp.dev + OhMyZSH If you're using the base terminal with default settings, you have so much head-room for improvement. I've been using Warp.dev since Elvis talked me into it. ;) Remarkable terminal but the AI side of things is a bit junky, can be turned off OhMyZSH gives better autocomplete e.g. git branch [HTML_REMOVED] lists all branches in the local repo! Commandbookapp.com is excellent to keep the terminal focused on terminal things and more server commands and other automation in Command Book. Calvin #3: {Blink,kitty} + mosh + tmux Kitty Terminal — GPU-accelerated terminal emulator for macOS, Linux, and Windows with support for graphics, ligatures, and a powerful tiling layout system built right in. Blink Shell — The go-to terminal for iPad/iPhone power users; full SSH and Mosh client with a gorgeous interface built specifically for mobile professional workflows. Mosh — Mobile Shell replaces SSH for remote connections, surviving network switches, sleep cycles, and flaky Wi-Fi with zero dropped sessions — essential for staying connected to long-running agentic jobs. tmux — Terminal multiplexer that keeps sessions alive on your Linux server indefinitely; detach from a Mosh session on your Mac, reconnect from your iPad, and your agent is right where you left it. The combo — Kitty or Blink + Mosh + tmux creates a "persistent remote brain" pattern: your beefy Linux homelab runs the compute-heavy agent sessions 24/7, and any device becomes a thin client to drop in and out at will. Michael #4: Claude code I prefer the IDE experience, the new PyCharm + Claude integration is really good. VS Code too. Why IDE? Because we should still be present with our code and managing context is much easier. Use the best/latest models on high thinking. “Speed” is not your friend, it's just shortcuts. Create skills and agents and use them. Curate your own rules (e.g. Talk Python's Claude.md) Works well on non-coding things. Just create a folder, put a ton of files in there and it's like NotebookLM + Chat + more. Calvin #5: MacWhisper or Handy Transcribes your speech using your choice of Whisper or Parakeet models. All transcription is done on your device, no data leaves your machine. Automatic Speaker Recognition with local models. Handy is more basic, but open source and runs on all platforms. Michael #6: Tailscale No need to open ports at all, Tailscale makes machines inside the same network accessible to each other Works great for laptops, desktops, etc. But also available for servers. Though I still use cloud firewalls for servers. How I use it: My dev database server, preloaded with QA data, is always running on my home mac mini m4 pro. All my apps look for that server before looking locally and tailscale makes them always accessible to each other My local LLMs expose OpenAI API compatible APIs. Tailscale makes these accessible even while traveling or at a coffee shop. Use my mini as an exit node. All traffic is routed outbound from my local fiber network. Great to restricted IPs like accessing my servers without caring about the local IP. Screen share back to my home machines even while traveling. Listen to the Talk Python episode with Alex for a deeper conversation. Extras Calvin: Telescopo great Mac Markdown viewer/editor. Michael: One more: Typora markdown editor. Created formal documentation for many of my open source packages using Great Docs. Via Mark Little: Statement on the US government directive to suspend access to Fable 5 and Mythos 5 Joke: No second date

A pronounced infrastructure dependence on third-party AI models has emerged across the MSP ecosystem, largely due to the rapid adoption and integration of AI-powered features within vendor products. This structural shift is increasingly opaque, as providers are sold features rather than transparent access to underlying models, leaving MSPs exposed to changes in technologies and policies enacted upstream by vendors or regulators. The episode highlights how this dependency extends to delivery teams and end clients, with operational continuity tightly linked to decisions and actions outside the MSP's direct control. The most consequential development referenced is Anthropic's release and rapid withdrawal of its Fable 5 AI model following a directive from the U.S. Commerce Department, which ordered a cutoff of model access to foreign nationals within 72 hours of public launch. According to published benchmarks, Fable 5 surpassed GPT 5.5 in performance, but the government-mandated suspension exposed how quickly model access can be rescinded. The policy move immediately impacted any MSP or client with offshore or nearshore staff relying on AI features invisibly powered by that model. Further supporting the central theme, companies such as PAX8, Enforcer, and CloudRadio are embedding AI capabilities into platforms used by MSPs to manage Microsoft 365 environments, automate ticketing, and support scalable client operations. In parallel, vendors like Proofpoint are integrating compliance solutions directly with AI model APIs, further entwining risk management tools with the same core AI infrastructures. A Netrio survey cited in the episode found that while 82% of mid-market IT leaders have AI in production, only 26% report organization-wide governance, highlighting an accountability and visibility gap. Operationally, MSPs face heightened contract and vendor risk. Most lack an accurate inventory of which AI models underpin their services and how rapidly these dependencies can be affected by regulatory directives or vendor shifts. The discussion underscores the need for explicit procurement protocols, delivery mapping, and outage runbooks that account for opaque model dependencies. As clients seek greater transparency and contractual assurances regarding model use and continuity, MSPs who anticipate and document these dependencies may be positioned to reduce exposure and establish clearer accountability. 00:00 Switched Off  03:19 Painted Over 05:20 Govern or Absorb 08:41 Why Do We Care?  Supported by: Pax8 Sign up for the SMB Online Conference: www.smbonlineconference.com

#136Josh and Mike sit down with Ming-Tai Huh, restaurateur, MIT graduate, former Toast and Square executive, and co-founder of Cambridge Street Hospitality Group. Ming shares the unlikely path that took him from management consulting and technology into the restaurant industry, beginning with a spontaneous decision to open a restaurant after becoming deeply involved in his local Cambridge community. He reflects on his early days at Toast, helping to build foundational products such as online ordering, loyalty, APIs, and partnerships, and explains how his experience as both an operator and a technologist shaped the way he thinks about restaurant software.The conversation dives into the future of restaurant technology, AI, SaaS, restaurant operations, and why supply chain management remains one of the industry's biggest unsolved problems. Ming discusses the rise of AI agents, the growing gap between experienced operators and first-time restaurateurs, the realities behind scaling restaurant software, and why he believes marketing attribution and ROI measurement remain major opportunities for innovation. Along the way, he shares stories about getting married inside an unfinished restaurant, building Puritan & Company from scratch, and what operators can learn from both the restaurant and technology worlds.Links and resources

Martin Soler returns to explore "The PMS Wars," his ongoing series examining one of the most important shifts in hotel technology. What started as a race from legacy systems to cloud-based PMS platforms is now evolving into a conversation about AI, data infrastructure, and the future of hotel operations.In this episode, Martin explains why hospitality adopts technology differently from other industries, why changing a PMS remains one of the hardest decisions a hotel can make, and why AI will depend on strong data foundations rather than replace them. He also shares his perspective on how AI could reshape software interfaces while making the underlying PMS more important than ever.Referenced Articles:• AI and the PMS Wars, Part I• The PMS Wars and AI, Part II Key Topics:• Why cloud PMS adoption took longer than expected• The challenges of PMS migration and vendor consolidation• Why hotel technology evolves differently from other industries• The role of APIs and structured data in the AI era• How AI may change hotel software interfaces• Why PMS platforms remain the foundation of hotel operations A few more resources:If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestionsIf you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free.Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram.If you want to advertise on Hospitality Daily, here are the ways we can work together.If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve!Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

Scott and Wes sit down with Jake Archibald from Mozilla to unpack how web standards actually get made at Firefox. From browser features and developer feedback to the drama around the Prompt API. They discuss Interop 2026, the future of web APIs, and what it's really like shaping the web after a career spanning both Google and Mozilla. Show Notes 00:00 The Importance of Sunscreen 02:29 Welcome to Syntax! 04:35 Transitioning from Google to Mozilla 06:00 Brought to you by Sentry.io 06:43 Mozilla's Current Position and Development Priority HTML Sanitizer API 08:35 Feature Implementation and Developer Feedback 13:12 JPEG XL and AVIF: The Future of Image Formats 18:06 Balancing User Features and Web Standards 20:56 Navigating the AI Translation Dilemma 23:03 Understanding the Prompt API Controversy 32:56 Rethinking the Future of Prompt APIs 39:00 Exploring Local Models and User Control 44:04 The State of Firefox DevTools 45:42 Browser Stability and Developer Editions 47:39 Introduction to the Heading Offset API 51:14 Interop APIs and Their Importance Headingoffset & Headingreset attributes 54:10 Developer Feedback and Browser Features Developer Signals 58:05 Animating Display None and Its Challenges 01:00:44 HTML and Canvas: Opportunities and Concerns 01:04:01 Sick Picks + Shameless Plugs Sick Picks Scott: Wes: Jake: Clues by Sam Shameless Plugs Scott: Wes: Jake: Bluesky Mastodon Threads LinkedIn YouTube X Insatgram Tiktok 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

A $400,000 B2B card payment sounds simple until a processor flags it, the finance team cannot reconcile it, and the invoice sits open while DSO creeps up. That gap between delivering product and collecting cash is where B2B payments either become a growth engine or a constant operational headache.I sits down with Thomas Cecil, Co-Founder of PAYRA, to unpack how modern accounts receivable automation actually works when you have real scale like thousands of invoices per month and customers paying by card, ACH, wire, or check. We talk through PAYRA's approach to the invoice-to-cash cycle, why deep ERP integrations matter more than glossy dashboards, and how automated payment reconciliation into the general ledger eliminates the manual posting that blocks adoption. Thomas also explains the practical details finance teams care about, like handling surcharging and posting to multiple GL entries without breaking the books.We also zoom out to where B2B payments is headed: partnering with ISOs instead of trying to replace them, using AI agents to pull invoice metadata from legacy ERPs with limited APIs, and the growing opportunity in cross-border receivables. Thomas shares why stablecoins may reduce correspondent banking friction and why workflows and value-added services are becoming the real business model behind payments.

Andrew Mayne and Brian Brushwood dig into one of the most immediately useful applications of AI agents: hunting down waste, friction, and forgotten costs in everyday business operations. Brian explains how connecting ChatGPT to his finances helped him uncover orphaned subscriptions, duplicate services, and even a long-forgotten annual GPS dog collar charge, while Andrew describes using Codex to audit AWS charges, recurring billing in Gmail, Apple Card statements, and an overpriced web host for the podcast. Along the way they make the case that Codex is different from a normal chatbot because it can persist on tasks, work through files and folders, use connected accounts, operate websites without APIs, and function more like a capable intern than a search box. They also talk through the learning curve, privacy concerns, trust-building in stages, using AI to generate business experiments and revenue ideas, and why speed of adaptation matters more than trying to pause technological change. The recurring theme is simple: use AI to find the stupid in your systems, save real money, and free up time for more creative work. Picks: Andrew Mayne: Riley Brown’s YouTube quick-start tutorials on Codex Brian Brushwood: Just Evil Enough by Alistair Croll and Emily Ross

Andrew Mayne and Brian Brushwood dig into one of the most immediately useful applications of AI agents: hunting down waste, friction, and forgotten costs in everyday business operations. Brian explains how connecting ChatGPT to his finances helped him uncover orphaned subscriptions, duplicate services, and even a long-forgotten annual GPS dog collar charge, while Andrew describes using Codex to audit AWS charges, recurring billing in Gmail, Apple Card statements, and an overpriced web host for the podcast. Along the way they make the case that Codex is different from a normal chatbot because it can persist on tasks, work through files and folders, use connected accounts, operate websites without APIs, and function more like a capable intern than a search box. They also talk through the learning curve, privacy concerns, trust-building in stages, using AI to generate business experiments and revenue ideas, and why speed of adaptation matters more than trying to pause technological change. The recurring theme is simple: use AI to find the stupid in your systems, save real money, and free up time for more creative work. Picks: Andrew Mayne: Riley Brown’s YouTube quick-start tutorials on Codex Brian Brushwood: Just Evil Enough by Alistair Croll and Emily Ross

In this episode, Martin Soler shares where hoteliers should focus as technology and AI reshape the industry. Recorded ahead of HITEC 2026, Martin explains why strong data foundations matter more than the latest AI tools, how to evaluate technology vendors through the lens of integrations and APIs, and what hotel leaders should prioritize today to prepare for what's next. If you're trying to make smarter technology decisions in a rapidly changing environment, this conversation offers a practical starting point.Read Martin's newsletter on SubstackYou may also enjoy: AI Only Works for Hotels in This Order: Data, Intelligence, Action - Stephen German, ActablYour AI Tools Won't Save You. Your Data Will. - GB Sharma, Mosaic HospitalityWhy Our Approach to Hotel Data Earned a Patent and Prepares Hotels for AI - Clark Brayton, Joseph McGroarty & Pritesh Patel, ActablFinding Gold in Your 'Data Attic': How Margaritaville's Chief Data Officer Unlocks Hidden Opportunities A few more resources:If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestionsIf you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free.Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram.If you want to advertise on Hospitality Daily, here are the ways we can work together.If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve!Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

In this special episode, Blockworks announces its acquisition of Messari and unpacks what it means for crypto's next phase. Michael and Jason explore why Messari's breadth of data, APIs, and research complement Blockworks' deep on-chain analytics, investor relations, and disclosure products. They also address crypto's trust problem, the need for standardized data and disclosures, and how Blockworks aims to become the trusted data layer connecting issuers, investors, exchanges, regulators, and AI agents in on-chain markets. Learn more: https://blockworks.com/insights/blockworks-acquires-messari Follow Blockworks on X: https://x.com/Blockworks Follow Messari on X: https://x.com/MessariCrypto Follow Michael on X: https://x.com/MikeIppolito_ Follow Jason on X: https://x.com/JasonYanowitz

In this special episode, Blockworks announces its acquisition of Messari and unpacks what it means for crypto's next phase. Michael and Jason explore why Messari's breadth of data, APIs, and research complement Blockworks' deep on-chain analytics, investor relations, and disclosure products. They also address crypto's trust problem, the need for standardized data and disclosures, and how Blockworks aims to become the trusted data layer connecting issuers, investors, exchanges, regulators, and AI agents in on-chain markets. Learn more: https://blockworks.com/insights/blockworks-acquires-messari Follow Blockworks on X: https://x.com/Blockworks Follow Messari on X: https://x.com/MessariCrypto Follow Michael on X: https://x.com/MikeIppolito_ Follow Jason on X: https://x.com/JasonYanowitz

Apply to Join Churchfront Premium Apply to Join Churchfront Pro Free Worship and Production Toolkit Shop Our Online Courses Join us at the Churchfront Conference Follow Churchfront on Instagram or TikTok: @churchfront Follow on Twitter: @realchurchfront Gear we use to make videos at Churchfront Musicbed SyncID: MB01VWQ69XRQNSN     Churchfront Podcast — Josh Kelsey | How AI Is Transforming Church Ministry   Guest background: Josh Kelsey is the Lead Pastor of Vineyard Church in California. In this conversation, Josh shares how his church is actively using AI across nearly every department—from sermon preparation and curriculum creation to operations, worship ministry, and discipleship. He offers a practical vision for how church leaders can use AI to reclaim time, reduce burnout, and focus more deeply on shepherding people.   Key Topics   AI in the church: fear vs. opportunity Josh argues that many church leaders are approaching AI with unnecessary fear. While concerns around ethics and implementation are valid, he sees AI primarily as a tool—one that can dramatically increase effectiveness while freeing leaders to focus on ministry. He believes churches that embrace these tools thoughtfully will be able to pastor more effectively, not less.   Why churches are historically slow to adopt technology Churches and nonprofits are often years behind the business world when it comes to adopting new technology. Josh believes AI is creating one of the largest technological shifts of our generation, and many church leaders risk missing opportunities simply because they haven't taken time to understand what's actually possible.   Scaling ministry without losing community One of the most intriguing ideas discussed is whether AI can help churches scale without sacrificing the personal connection that often disappears as organizations grow. Instead of hiring more specialists for every operational challenge, churches may soon be able to use AI systems to maintain consistency, communication, and care at a much larger scale.   AI as a team of specialists Rather than thinking of AI as a chatbot, Josh encourages leaders to think of it as an entire team of specialists available on demand. Administrative support, curriculum development, data analysis, planning, project management, and content creation can all be assisted by AI, allowing pastors to spend more time on teaching, discipleship, and relationships.   The future of church software The conversation explores how tools like Planning Center, HubSpot, Notion, Logos, MultiTracks, and other church software platforms will likely become deeply integrated with AI through technologies like APIs and Model Context Protocol (MCP). Instead of manually moving information between platforms, leaders will increasingly interact with a single AI layer that understands and works across their entire ministry ecosystem.   How Josh uses AI for sermon planning Josh shares his personal workflow for annual sermon planning and weekly sermon preparation. What once required multiple staff meetings and days of planning can now be completed in minutes. He uses AI to help organize ideas, structure teaching series, review theological themes, and accelerate sermon preparation while maintaining full ownership over theological convictions and final content.   Using AI without losing your voice One of the biggest concerns among pastors is whether AI will replace authentic preaching. Josh argues that AI works best as a collaborator rather than a creator. By training AI on previous sermons, theological frameworks, and ministry values, leaders can use it to refine and organize their ideas while still maintaining their unique voice and convictions.   Curriculum creation and discipleship workflows Vineyard uses AI extensively to create small group curriculum, discipleship resources, class materials, slide decks, teacher guides, and parent resources. Tools like NotebookLM help transform existing content into multiple formats, dramatically reducing preparation time while increasing consistency across ministries.   AI-powered worship ministry Worship and production teams are also leveraging AI. Josh and his worship pastor discuss using tools like Suno to create custom music, countdown tracks, and ministry-specific content. They also explore future possibilities for creating custom stems, backing tracks, and other resources that could significantly reduce production workload.   The ethics of AI and transparency Throughout the conversation, Josh emphasizes the importance of transparency. Leaders should be honest about where AI is assisting their work while recognizing that many forms of ministry have always involved collaboration, research assistance, editors, and support staff. The key is maintaining integrity while leveraging powerful new tools.   A leveling of the playing field for small churches Perhaps the most exciting implication is what AI means for under-resourced churches. Pastors who lack staff, consultants, formal training, or large budgets can now access tools that help bridge those gaps. Josh believes AI may become one of the most powerful ministry equalizers the Church has ever seen.   Notable tools mentioned   • Claude • ChatGPT • Gemini • NotebookLM • Planning Center • HubSpot • Notion • Logos Bible Software • Suno • Zapier • MultiTracks • Google Workspace   Key Quote   "Imagine if you could free up 15 hours of your week to spend more time making sure the people in your church who are most forgotten actually get seen."   • • • • •   Disclaimer: This video and description contain affiliate links.

Six months after their last roundup, Jacob sits down with Ari Morcos (Datology AI CEO, former Meta AI researcher) and Rob Toews (Radical Ventures partner, Forbes AI columnist) to take stock of an AI landscape that has shifted dramatically: coding agents crossing the long-time-horizon threshold has turned engineers into managers of agents, near-frontier open weight AI looks like it may be disappearing as Meta and the Chinese labs pull back, and Anthropic's restrictions on its newly released Fable model have its biggest supporters questioning whether safety framing is masking competitive positioning. The conversation runs through the full state of the lab wars, including Rob doubling down on his Sam Altman ouster prediction and the Bret Taylor succession theory, why Google's structural advantages remain intact despite falling behind on coding, what xAI's Cursor acquisition is really for, and Ari's claim that compute constraints could push labs to suspend their APIs entirely. The back half digs into the physical bottlenecks underneath it all, from atom and x-ray lithography startups challenging ASML to H100 prices reversing their decline, before closing with predictions: recursive self-improvement is closer than it was six months ago but slower than the takeoff narratives suggest, robotics is nearing its GPT-3 moment, and Anthropic's next chapter may be life sciences.   (0:00) Intro (1:40) Coding Agents Cross a Threshold (3:29) Is Open-Weight AI in Retreat? (7:37) Cost Crunch & Scaffolding (12:13) The "Apps Are Cooked" Debate (16:37) Sam Altman Under Scrutiny (19:44) Anthropic's Fable Backlash (23:24) How Big a Step Change Is Fable? (26:50) What's Going On at Google? (33:20) Could the APIs Go Away? (34:11) Breaking the Semiconductor Bottleneck (35:42) Beyond EUV: Atom & X-Ray Lithography (37:23) Implications of a Compute Shortage (40:20) Do Alt Chips Actually Help? (43:43) SpaceX, xAI & the Cursor Acquisition (48:50) How Close Are We to RSI? (52:21) Quickfire With your host: @jacobeffron - Managing Director at Redpoint

In this special episode, Blockworks announces its acquisition of Messari and unpacks what it means for crypto's next phase. Michael and Jason explore why Messari's breadth of data, APIs, and research complement Blockworks' deep on-chain analytics, investor relations, and disclosure products. They also address crypto's trust problem, the need for standardized data and disclosures, and how Blockworks aims to become the trusted data layer connecting issuers, investors, exchanges, regulators, and AI agents in on-chain markets. Learn more: https://blockworks.com/insights/blockworks-acquires-messari Follow Blockworks on X: https://x.com/Blockworks Follow Messari on X: https://x.com/MessariCrypto Follow Michael on X: https://x.com/MikeIppolito_ Follow Jason on X: https://x.com/JasonYanowitz

In this special episode, Blockworks announces its acquisition of Messari and unpacks what it means for crypto's next phase. Michael and Jason explore why Messari's breadth of data, APIs, and research complement Blockworks' deep on-chain analytics, investor relations, and disclosure products. They also address crypto's trust problem, the need for standardized data and disclosures, and how Blockworks aims to become the trusted data layer connecting issuers, investors, exchanges, regulators, and AI agents in on-chain markets. Learn more: https://blockworks.com/insights/blockworks-acquires-messari Follow Blockworks on X: https://x.com/Blockworks Follow Messari on X: https://x.com/MessariCrypto Follow Michael on X: https://x.com/MikeIppolito_ Follow Jason on X: https://x.com/JasonYanowitz

In this special episode, Blockworks announces its acquisition of Messari and unpacks what it means for crypto's next phase. Michael and Jason explore why Messari's breadth of data, APIs, and research complement Blockworks' deep on-chain analytics, investor relations, and disclosure products. They also address crypto's trust problem, the need for standardized data and disclosures, and how Blockworks aims to become the trusted data layer connecting issuers, investors, exchanges, regulators, and AI agents in on-chain markets. Learn more: https://blockworks.com/insights/blockworks-acquires-messari Follow Blockworks on X: https://x.com/Blockworks Follow Messari on X: https://x.com/MessariCrypto Follow Michael on X: https://x.com/MikeIppolito_ Follow Jason on X: https://x.com/JasonYanowitz

Apple is handing parents unprecedented control with new child safety and parental approval features. Rosemary Orchard and Mikah Sargent break down what's changed, how it works, and more iOS goodness during WWDC26 week! Apple's WWDC keynote reveals iOS 27 and platform-wide focus on AI, privacy, and performance Liquid Glass transparency and appearance now user-adjustable for accessibility Toolbars and UI restored for improved navigation and vision support Performance boosts: faster photos, AirDrop, and Spotlight search highlighted Intelligent networking promises smarter Wi-Fi and cellular switching Maps overhaul: more vivid detail with AI and satellite imagery New child safety features: granular app, contact, and website approvals Siri gets personal context, deeper app integration, and smart replies Advanced developer APIs and app intents previewed for on-device AI features Generative photo editing arrives: extend, clean up, and a new Reframe tool System-wide suggestions and information surfacing in Mail, Messages, and calls Quality-of-life updates: independent alarm/ringer/music volumes, swipable now playing Shortcuts Corner: Natural language shortcut creation and changes to automation workflows Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/ios

Apple is handing parents unprecedented control with new child safety and parental approval features. Rosemary Orchard and Mikah Sargent break down what's changed, how it works, and more iOS goodness during WWDC26 week! Apple's WWDC keynote reveals iOS 27 and platform-wide focus on AI, privacy, and performance Liquid Glass transparency and appearance now user-adjustable for accessibility Toolbars and UI restored for improved navigation and vision support Performance boosts: faster photos, AirDrop, and Spotlight search highlighted Intelligent networking promises smarter Wi-Fi and cellular switching Maps overhaul: more vivid detail with AI and satellite imagery New child safety features: granular app, contact, and website approvals Siri gets personal context, deeper app integration, and smart replies Advanced developer APIs and app intents previewed for on-device AI features Generative photo editing arrives: extend, clean up, and a new Reframe tool System-wide suggestions and information surfacing in Mail, Messages, and calls Quality-of-life updates: independent alarm/ringer/music volumes, swipable now playing Shortcuts Corner: Natural language shortcut creation and changes to automation workflows Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/ios

Apple is handing parents unprecedented control with new child safety and parental approval features. Rosemary Orchard and Mikah Sargent break down what's changed, how it works, and more iOS goodness during WWDC26 week! • Apple's WWDC keynote reveals iOS 27 and platform-wide focus on AI, privacy, and performance • Liquid Glass transparency and appearance now user-adjustable for accessibility • Toolbars and UI restored for improved navigation and vision support • Performance boosts: faster photos, AirDrop, and Spotlight search highlighted • Intelligent networking promises smarter Wi-Fi and cellular switching • Maps overhaul: more vivid detail with AI and satellite imagery • New child safety features: granular app, contact, and website approvals • Siri gets personal context, deeper app integration, and smart replies • Advanced developer APIs and app intents previewed for on-device AI features • Generative photo editing arrives: extend, clean up, and a new Reframe tool • System-wide suggestions and information surfacing in Mail, Messages, and calls • Quality-of-life updates: independent alarm/ringer/music volumes, swipable now playing • Shortcuts Corner: Natural language shortcut creation and changes to automation workflows Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/ios

Apple is handing parents unprecedented control with new child safety and parental approval features. Rosemary Orchard and Mikah Sargent break down what's changed, how it works, and more iOS goodness during WWDC26 week! Apple's WWDC keynote reveals iOS 27 and platform-wide focus on AI, privacy, and performance Liquid Glass transparency and appearance now user-adjustable for accessibility Toolbars and UI restored for improved navigation and vision support Performance boosts: faster photos, AirDrop, and Spotlight search highlighted Intelligent networking promises smarter Wi-Fi and cellular switching Maps overhaul: more vivid detail with AI and satellite imagery New child safety features: granular app, contact, and website approvals Siri gets personal context, deeper app integration, and smart replies Advanced developer APIs and app intents previewed for on-device AI features Generative photo editing arrives: extend, clean up, and a new Reframe tool System-wide suggestions and information surfacing in Mail, Messages, and calls Quality-of-life updates: independent alarm/ringer/music volumes, swipable now playing Shortcuts Corner: Natural language shortcut creation and changes to automation workflows Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/ios

In this 5 Insightful Minutes episode, Tomáš Čupr, Co-Founder and CEO of duvo.ai and CEO of the Rohlik Group, joins Omni Talk live from Shoptalk Europe to discuss why retailers need to rethink how they approach AI adoption. Drawing from his experience building duvo.ai while leading one of Europe's largest online grocers, Tomáš explains why AI shouldn't be viewed as a replacement for people, but as a way to eliminate the manual, repetitive work that drains productivity and leaks value across organizations. He also shares why retailers need to move faster, stop waiting for perfectly clean data, and focus on solving real operational pain points today. Key Topics Covered: • Why retail employees spend too much time acting as "human APIs" between disconnected systems • How AI can eliminate repetitive tasks and unlock employee capacity • Why retailers shouldn't wait for perfect data before deploying AI • The risks of lengthy AI roadmaps and multi-year transformation strategies • Why successful AI implementations work alongside existing systems like SAP and existing ERPs • The importance of designing AI for both people and agents, rather than replacing entire workforces • How duvo.ai helps retailers automate messy processes in just a few weeks • Why Tomáš believes retailers should focus on solving today's problems instead of planning for a future that may never arrive • How his experience leading both duvo.ai and the Rohlik Group shapes a practical approach to enterprise AI adoption

Summary: In this episode of the Ops Experts Club podcast, Aaron Hovivian and Terryn Turner discuss the importance of evaluating your team, auditing workflows, and asking the right operational questions before automatically assuming growth requires more hiring. Using examples from real businesses and clients, they explore how fast-moving companies can slowly drift into inefficient habits, outdated systems, and unnecessary labor costs simply because nobody has stopped to reassess how people are spending their time. From labor allocation and profitability to workflow optimization and operational blind spots, the conversation highlights why regular business audits are essential for sustainable growth. Aaron and Terryn also dive into the growing role of AI and automation inside operations. They share practical examples of how businesses are using automations, AI tools, APIs, and custom workflows to eliminate repetitive tasks, improve reporting, streamline customer management, and elevate team performance. Whether you're running an online business, managing a growing team, or simply feeling overwhelmed by operational complexity, this episode offers actionable insights on how to identify inefficiencies, better utilize your people, and create systems that scale more effectively. Want to evaluate your own operations and identify gaps in your business? Check out the free Gap Quiz or learn more about the full Gap Analyzer process at GapAnalyzer.com Minute-by-Minute: 00:00 Introduction to the Ops Experts Club 01:31 Evaluating Your People: The Importance of Asking Questions 04:52 Leveraging AI for Efficiency 09:04 Innovative Solutions: Streamlining Processes 14:00 Auditing Performance: The Role of Gap Analyzer 16:38 Conclusion and Key Takeaways

Apple is handing parents unprecedented control with new child safety and parental approval features. Rosemary Orchard and Mikah Sargent break down what's changed, how it works, and more iOS goodness during WWDC26 week! • Apple's WWDC keynote reveals iOS 27 and platform-wide focus on AI, privacy, and performance • Liquid Glass transparency and appearance now user-adjustable for accessibility • Toolbars and UI restored for improved navigation and vision support • Performance boosts: faster photos, AirDrop, and Spotlight search highlighted • Intelligent networking promises smarter Wi-Fi and cellular switching • Maps overhaul: more vivid detail with AI and satellite imagery • New child safety features: granular app, contact, and website approvals • Siri gets personal context, deeper app integration, and smart replies • Advanced developer APIs and app intents previewed for on-device AI features • Generative photo editing arrives: extend, clean up, and a new Reframe tool • System-wide suggestions and information surfacing in Mail, Messages, and calls • Quality-of-life updates: independent alarm/ringer/music volumes, swipable now playing • Shortcuts Corner: Natural language shortcut creation and changes to automation workflows Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/ios

Today, we are kicking off a new series entitled The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.Today's episode is entitled AI Security is API Security, and joining us is Tim Erlin, VP of Product Marketing at Wallarm. We discuss the foundational link between AI security and API security, digging into the role that APIs play in the dev, deployment, and operations of AI. We explore how they contribute to the risk profile of AI transformation projects, and how securing APIs is critical for successful AI transformation.QuestionsWhen people hear “AI security,” they often think first about models, prompts, or training data. Why do you argue that AI security starts with APIs?Where do you see organizations underestimating API risk as they move AI projects from pilot to production?How does the rise of AI agents change the stakes for API security compared with traditional application architectures?What are the most common API security assumptions that break down once AI systems begin taking action autonomously?Wallarm's ThreatStats research points to APIs as a major overlap point for AI vulnerabilities and exploited vulnerabilities. What does that tell us about where attackers are likely to focus?How should security leaders think differently about authentication, authorization, and API abuse when the “user” may be an AI agent rather than a human?What is one practical step teams can take today to strengthen API security before AI adoption expands further?Once you accept that AI security depends on APIs, what do organizations actually need to discover before they can protect it?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/tim-erlin/Full AbstractIn the first episode of the AI Control Loop series, Tim Erlin, VP Product at Wallarm, examines why AI security and API security are the same problem approached from different angles, and what organizations need to discover before they can protect either one.Every AI model needs data to act on. Every AI agent needs services to call. Every AI workflow needs integrations to function. The connective tissue running through all of it is APIs, which means the security posture of any AI system is inseparable from the security posture of the APIs underneath it.That link is not theoretical. APIs are already the most targeted attack surface in enterprise environments, and AI is making that problem significantly larger. Agents that act autonomously on behalf of users do not just consume APIs the way traditional applications do. They discover them, invoke them dynamically, chain them across workflows, and do all of it at a speed and scale that makes human review impractical. The authentication assumptions, rate limiting strategies, and abuse detection models that worked for human-driven API traffic were not designed for this, and the gaps are not subtle.Most organizations moving AI from pilot to production are underestimating how much of their AI risk surface is actually API risk surface. Shadow APIs that were never inventoried, overpermissioned integrations that made sense for a human user but not for an autonomous agent, authentication patterns that cannot distinguish a legitimate AI session from an abused one. Securing AI at the foundational level means answering the API question first: what APIs does the AI touch, what can it do through them, and what would an attacker be able to reach if any part of that surface were compromised.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://click.cash.app/ui6m/mt82fpxl #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not impressive, sales momentum sometimes slows when prospects have to imagine how the product will create value in their own environment. My perspective on this is that the flexibility that makes these tools powerful can also make them harder to evaluate. Flexibility can adversely increase the Invisible Intelligence Gap, and I think certain types of AI-based solutions (LLM) may actually increase this because the boundaries of the product are often so much wider than ever before (if not invisible to the buyer). So, how to close this gap? Well, one way is to build a visual UI that showcases what's possible with your API/feed/data solution. You take the buyer out of the conceptual space and make things concrete. So today, that's what we dig into: when to consider adding a UI, how far you need to go with it, how you can use Copilot/AI agents to help customize these example implementations, and the benefits you might see.  Highlights / Skip to: The challenges of selling API-based analytics and AI products (0:56)  Why this topic matters right now (2:48) The Invisible Intelligence Gap that may be slowing your sales (3:34) Strategies for bridging the Invisible Intelligence Gap with a UI (user interface) layer (7:01) Client case study: the impact and results you may see adding a UI on top of your technical product (14:05) Signs that you should consider adding UI to your technical product (18:23) Leveraging humans' highly developed visual system to help potential customers see the full value of your product (26:24) Conclusion (27:32) Links Invisible Intelligence Gap Azeem Azhar's Exponential View (6/4/26 episode)  

What if you could consolidate all of your fleet analytics, from toll and bypass data to safety signals, into one cohesive dashboard? Quinn Cochrane of Fleetworthy joins us to explain how they are revolutionizing fleet intelligence by consolidating multiple core products into a single, federated data source! He also shares how a unified vehicle management approach eliminates operational roadblocks for carrier networks and owner-operators and the real-world applications of smart data hydration, highlighting how combining compliance and safety data optimizes workflows, drastically reduces compliance risk, and puts actionable insights directly into the hands of fleet managers and drivers!   About Quinn Cochrane Quinn Cochrane is the Director of Product, Unified Experience at Fleetworthy, where he leads platform initiatives across connected transportation technology, data infrastructure, APIs, and embedded mobile experiences, helping organizations unlock new product capabilities and business opportunities. Quinn is based in the Seattle-area and has spent his career focused on creating scalable platforms that empower both developers and end users. Prior to Fleetworthy, he worked at Amazon. Outside of technology, Quinn is also a competent bagpiper and enjoys bringing a bit of tradition and character to friend and family events.   Connect with Quinn Website: https://fleetworthy.com/  LinkedIn: https://www.linkedin.com/in/quinn-c-93232b12/  

Rachel and Chris on the show this week to discuss a series of big changes over the last, say, six months or so with our billing system. We've essentially re-written this thing several times, and obviously this is the best time. Having three plans, two payment providers, teams, and fifteen years of history is a lot to manage. An important aspect of the journey was getting the billing information into a single table in our database, and relying more on dynamic calls out to the payment providers when needed rather than trying to keep too much data in sync. Of course we wanted to clean up the codebase and get payment APIs ported over to our latest system, but the biggest need this was all satisfying was UX. We wanted a proper pricing page, better pages for people to manage their billing, and really easy upgrade modals inside our 2.0 editor. The good news is, it all worked. Time Jumps

Needle-Free Peptides, US Manufacturing, BPC-157, Thymosin Alpha-1, GLP-1s, Microneedle Patches, and How to Avoid Contaminated Peptides Peptides are one of the most powerful tools in biohacking and anti-aging medicine, and until now, most people couldn't access them safely, legally, or without a needle. This episode changes that. -Watch this episode on YouTube for the full video experience: https://www.youtube.com/@DaveAspreyBPR -Go to Aminoinnovations.com and use “asprey20” for a discount through the next 7 days Host Dave Asprey sits down with Justin Kirkland, a longevity medicine expert with over 30 years in drug development and pharmaceutical innovation. Kirkland holds multiple drug synthesis and formulation patents, has founded multiple pharmaceutical companies, and is one of the few people in the world manufacturing peptides entirely on US soil, controlling every step of the synthesis process from raw amino acids to finished product. If you want to understand what is really inside your peptides and why it matters for your longevity and human performance, he is the person to listen to. Dave and Justin go deep on why most peptides on the gray market contain dangerous residual compounds that can spike liver enzymes and cause real harm, why Chinese-sourced APIs are not always what they claim to be, and how a new generation of needle-free delivery systems including microneedle patches and auto-injectors is making peptide therapy accessible to anyone serious about longevity and human performance. They also cover how AI and functional medicine are converging to make peptide protocols personalized based on genetics and microbiome status, why the thymus gland is one of the most overlooked anti-aging targets in the body, and what the suppression of peptide research reveals about who really controls your access to health tools. You Will Learn: Why many gray market peptides contain toxic residual acids that damage the liver and how to identify clean products How microneedle patches and auto-injectors are replacing traditional injections for peptide delivery Which peptides are most effective for longevity, immune system repair, and human performance including BPC-157, Thymosin Alpha-1, and growth hormone secretagogues Why your genetics and gut microbiome determine whether a peptide will work for you at all How the thymus gland controls your immune system and why it disappears by your mid-20s What the suppression of peptide research tells you about Big Pharma's control over your supplement and nootropics access Why US-manufactured peptides represent a new standard for safety and quality in biohacking How AI is transforming personalized peptide protocols in functional medicine Which peptides are overhyped and which ones actually move the needle on anti-aging and recovery How to store, mix, and dose peptides correctly to avoid the mistakes most people using them are making right now Thank you to our sponsors! - Danger Coffee | Grab yours at DangerCoffee.comand use code DAVEPOD at checkout for 15% off. - The One Device | Use code DAVE for $10 off at theonedevice.com/dave - Fatty15 is on a mission to support Healthy Aging for All, including all ages and stages of life. You can get an additional 15% off their 90-day subscription Starter Kit by going to fatty15.com DAVE and using code DAVE at checkout. - ENERGYbits | If you want a simpler, smarter way to support your body… this is it. Head to ENERGYbits.com and use code ASPREY for 20% off your order. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights inhealth, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: Justin Kirkland, peptides, needle-free peptides, microneedle patch, BPC-157, Thymosin Alpha-1, ipamorelin, CJC-1295, PT-141, KPV peptide, Dihexa, growth hormone secretagogue, peptide purity, TFA contamination, gray market peptides, US manufactured peptides, oral peptides, transdermal delivery, thymus gland, anti-aging, biohacking, longevity, functional medicine, peptide auto-injector, compounding pharmacy Resources: • Go to Aminoinnovations.com and use “asprey20” for a discount through the next 7 days • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15 • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: 00:00 – Intro & Guest Welcome 01:55 – Censorship & Platform Bans 06:20 – Peptide Science & Bioavailability 07:20 – Delivery Methods 14:30 – Supply Chain & US Manufacturing 17:01 – Manufacturing Risks & Contamination 24:43 – Peptide Stacks 28:41 – Immune Peptides & Thymus 30:57 – Overhyped Peptides 41:00 – Alternative Delivery (Patches, Nasal, Rectal) 47:25 – Side Effects & Risk 50:30 – Mixing & Storage Tips 54:05 – Wrap-Up & Where to Buy See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.