Podcasts about using ai

Matej Zak, CEO of Trezor, and I sat down at their Prague office to discuss the new Trezor Safe 7 hardware wallet and much more.Topics:- Trezor's new device - Safe 7 - Design and Security approach - The future of self custody - Preparing for potential quantum-computing threats to crypto security - Does Trezor have plans to go public? 

Sue Yeh Johnson, Yeh and Johnson Consulting, on Using AI to Decode Trust Breakdowns, Team Alignment, and Relational Intelligence (North Fulton Business Radio, Episode 923) On this episode of North Fulton Business Radio, host John Ray welcomes Sue Yeh Johnson, Founder of Yeh and Johnson Consulting, to discuss Relational Intelligence (RI) and how leaders can decode […]

[33:33] What if AI could help you think more clearly, simplify complex ideas, and sharpen your message—without replacing your voice or creativity? In this episode of the Toastmasters Podcast, Greg Gazin welcomes back Diane Windingland, DTM, for a practical conversation on using AI as a thinking partner to improve clarity, strengthen messages, and communicate with greater impact.

What does it really mean to build an AI-forward company that is still deeply human-first? In this episode, host Susan Diaz and senior HR leader and mentor culture advocate Helen Patterson talk about jobs, guardrails, copyright, environmental impact, and why mentorship and connection matter more than ever in the age of AI. Episode summary Susan is joined by Helen Patterson, founder of Life Works Well, senior HR leader, and author of the upcoming book Create a Mentor Culture. They start with a Y2K flashback and draw a straight line from past tech panics to today's AI headlines. Helen shares why she sees AI as the latest evolution of technology as an enabler in HR - another way to clear the admin and grunt work so humans can focus on growth, development, and real conversations. From there, they dig into: The tension between "AI will kill jobs" and tens of thousands of new AI policy and governance roles already posted. How shadow AI shows up when organizations put in blanket "no AI" rules and people just reach for their phones anyway. The very real issues around privacy, copyright, and intellectual property when staff feed proprietary material into public models. The less-talked-about environmental impact of AI and why leaders should demand better facts and more intentional choices from tech providers. In the second half, Helen brings the conversation back to humanity: mentorship as a counterweight to disconnection, her One Million Mentor Moments initiative, and how everyday "micro-mentoring" at work can help people adapt to rapid change instead of being left behind. They close with practical examples of using AI for good in real life - from travel planning and research to late-night dog-health triage - without letting it replace judgement. Key takeaways This isn't our first tech panic. From Y2K to applicant tracking systems, HR has always framed tech as an enabler. GenAI is the newest layer, not an alien invasion. Looking back at history helps calm "sky is falling" narratives. Jobs are changing, not simply disappearing. Even as people worry about AI-driven job loss, platforms like Indeed list tens of thousands of AI policy and governance roles. The work is shifting toward AI-forward skills in every function. Blanket "no AI" rules don't work. When organizations ban external tools or insist on only one locked-down platform, people quietly use their own devices and personal stacks anyway - creating shadow AI with real privacy and IP risk. Guardrails and education beat prohibition. Copyright and confidentiality need more than vibes. Without clear guidance, staff will copy proprietary frameworks or documents into public models and re-badge them. Leaders need simple, well-communicated philosophies about what must not go into AI tools. Environmental impact is part of human-first. Training and running large models consumes energy. The real solution will be systemic (how tech is built and powered), but individuals and organizations can still use AI more efficiently, just like learning not to leave all the lights on. Mentorship is the ultimate human technology. Helen's work on Create a Mentor Culture and One Million Mentor Moments reframes mentoring as everyday, one-conversation acts that share wisdom, reduce fear, and help people reskill for an AI-forward world. Tech should support that, not replace it. Upskilling beats layoffs. When roles change because of AI, the most human-first response isn't to cut people loose, it's to invest in learning, mentoring, and redeployment so existing talent can grow into new, AI-augmented roles. Use AI to simplify life, not complicate it. From planning multi-country trips to triaging whether the dog really needs an emergency vet visit, smart everyday use of AI can save time, money, and anxiety - freeing up more space for the work and relationships that actually matter. Episode highlights [00:01] Susan sets the scene: 30 episodes in 30 days to build Swan Dive Backwards in public. [00:39] Helen's intro: Life Works Well, heart-centred high-performance cultures, and her focus on mentorship. [03:43] What an AI-forward and human-centred organisation looks like in practice. [04:00] Y2K memories and why today's AI panic feels familiar. [06:11] 25–35K AI policy jobs on Indeed and what that says about the future of work. [07:49] Jobs lost vs jobs created—and why continuous learning is non-negotiable. [15:19] The danger of "everyone is using AI" with no strategy or safeguards. [19:25] Shadow AI, personal stacks, and why hard bans don't stop experimentation. [21:13] A real-world IP scare: proprietary material pasted into GPT and re-labelled. [23:06] GPT refusing to summarise a book for copyright reasons—and why that's a good sign. [24:03] The case for a simple AI philosophy doc: purpose, principles, and communication. [25:24] Environmental concerns, fact-checking, and the server-room-to-laptop analogy. [30:17] New social media laws for kids and what they signal about tech accountability. [30:41] One Million Mentor Moments: why one conversation can change a career. [31:22] From elite programmes to everyday mentor cultures inside organisations. [35:01] AI for mentoring and coaching: bots, big-name gurus, and internal use cases. [36:30] Using AI for travel planning, research, and everyday life admin. [37:35] Susan's story: using AI to triage a dog-health scare instead of doom-scrolling vet sites. [38:37] Life Works Well's roots in work–life harmony and simplifying with tech. [39:35] Where to find Helen online and what's next for her book. If you're leading a team (or a whole organization), use this episode as a prompt to ask: Where are we treating AI as a tool in service of humanity - and where are we forgetting the human first? Do our people actually know what's OK and not OK to put into AI tools? How could we use mentorship - formal or informal - to help our people navigate this shift instead of fearing it? Connect with Susan Diaz on LinkedIn to get a conversation started.   Agile teams move fast. Grab our 10 AI Deep Research Prompts to see how proven frameworks can unlock clarity in hours, not months. Find the prompt pack here. You can connect with Helen Patterson on LinkedIn and follow her work on Create a Mentor Culture and One Million Mentor Moments via lifeworkswell.ca

#716 What if your origin story isn't what wins clients — but your ability to solve their problems is? In this episode hosted by Brien Gearin, Jay Owen, founder of Business Builders and host of Building a Business That Lasts, shares how he turned a teenage side hustle into a thriving multimillion-dollar agency that now runs mostly without him. Jay opens up about his early struggles, how a pivotal conversation with his wife helped him commit to entrepreneurship full-time, and the mindset shifts that helped him scale sustainably over two decades. He dives into the importance of recurring revenue, why strong messaging is more powerful than flashy design, and how agencies can stay relevant in an AI-driven world by becoming operators instead of executors. Whether you're growing your own agency or just getting started, this episode is packed with timeless advice and fresh perspective! (Original Air Date - 5/7/25) What we discuss with Jay: + Why your story isn't what sells + From teenage side hustle to agency + Importance of recurring revenue + Messaging over design every time + Scaling without burning out + Using AI to increase efficiency + Building a business, not a job + Contractors vs. employees + Speaking as a lead generator + Diversifying services and industries Thank you, Jay! Check out Business Builders at ⁠BusinessBldrs.com⁠⁠⁠⁠. Get a free ⁠⁠video course⁠⁠. Get a free ⁠AI resource⁠. Follow Jay on ⁠Instagram⁠ and ⁠LinkedIn⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

What if understanding your codebase was no longer a blocker for great testing? Most testers were trained to work around the code — clicking through UIs, guessing selectors, and relying on outdated docs or developer explanations. In this episode, Playwright expert Ben Fellows flip that model on its head. Using AI tools like Cursor, testers can now explore the codebase directly — asking questions, uncovering APIs, understanding data relationships, and spotting risk before a single test is written. This isn't about becoming a developer. It's about using AI to finally see how the system really works — and using that insight to test smarter, earlier, and with far more confidence. If you've ever joined a new team, inherited a legacy app, or struggled to understand what really changed in a release, this episode is for you. Registration for Automation Guild 2026 Now: https://testguild.me/podag26

Assessing Climate RisksAs climate change accelerates, climate risks are beginning to impact every aspect of society from infrastructure and transportation to health, biodiversity, and air and water quality. A climate risk is the potential for climate change to have adverse consequences for a human or ecological system. Climate risks have implications for property and infrastructure, posing a threat to the global financial system at large. The rate at which climate change and its associated risks are increasing can be reduced through mitigation and adaptation actions such as investing in green infrastructure and implementing energy efficiency standards. The assessment of climate risk involves the identification and quantification of the potential impacts of climate change on an organization, region, or community. Many organizations utilize climate risk assessments, which involve evaluating current and future vulnerabilities to climate-related hazards, taking into account factors such as infrastructure resilience, economic stability, and social vulnerability. To quantify those impacts, assessments typically estimate the level of damage in financial terms. In order to streamline this process and make it easier for companies to identify their potential risk, riskthinking.AI has developed a platform to leverage climate change risks and impacts through AI software.Integrating AI technology into climate risk assessmentsRiskthinking.Ai integrates AI technology with climate change data to evaluate financial risk management through their development of the ClimateEarthDigitalTwin (CDT). The CDT integrates physical asset data with the latest climate projections like extreme weather and temperature shifts. Rather than using deterministic forecasts, CDT relies on probabilistic distributions to simulate a range of future scenarios and project changes in an asset's value over time. The CDT platform quantifies exposure and impacts from climate change. Riskthinking.Ai identifies which specific risk factors, such as extreme heat and floods, contribute to overall exposure. This approach can guide decision-making and help assess the complex risks posed by climate change and inform future infrastructure investments, risk mitigation, and climate adaptation strategies.Upsides to AI assessment Riskthinking.Ai enables organizations to evaluate future financial impacts of climate change, integrating climate risks into business decisions. Countries especially vulnerable to climate change may benefit from this algorithm, as it allows for a better understanding of the threats they face due to a changing climate. By providing countries, governments, and corporations with a better understanding of how they may be at risk due to their geographical location and respective climate vulnerability, AI technology can guide decision-making to inform proper adaptation and mitigation into the future. Downsides to AI assessment Although Riskthinking.Ai provides a tangible strategy in informing proper adaptation and mitigation, many argue that the use of AI technology to address environmental crises is counterintuitive due to AI's negative impacts on the environment. By 2040, it is predicted that the emissions from the Information and Communications Technology (ICT) industry will amount to 14% of global emissions, with the majority being driven through ICT infrastructure, specifically data centers and communication networks which AI relies upon to operate. In addition to the significant energy consumption required to power AI technology, a large amount of water is needed for cooling data centers. Further, AI relies on critical minerals and rare elements which are mined for unsustainability and the rapidly increasing data centers contribute to the growing body of electronic waste. However, as AI becomes increasingly applied to environmental problems, it can prove to be a valuable tool in combating climate change. Thus, working to reduce the environmental impact of AI technology will not only be vital in its application for climate risk assessments, but in mitigating the harmful effects brought about by its rapidly increasing societal demand.About our GuestDr. Ron Dembo, founder and CEO of Riskthinking.Ai, has utilized his multi-factor scenario modeling expertise to create a data platform and analytics engine for measuring and managing climate financial risk. Dr. Ron Dembo has been an Associate Professor at Yale, visiting professor at MIT, and has received many awards for his work in risk management, optimization, and climate change.ResourcesEarth Scan, What is climate risk and what does it mean for your organizationIBM, What is climate risk?NOAA, Climate Change ImpactsRiskthinking.AI, Climate Data & Analytics that Power Enterprise Risk, Research and ReportingEarth.Org, The Green Dilemma: Can AI Fulfil Its Potential Without Harming the Environment?Further ReadingMIT News, Explained: Generative AI's environmental impactNASA, The Effects of Climate ChangeUN, AI has an environmental problem. Here's what the world can do about that.For a transcript of this episode, please visit https://climatebreak.org/using-ai-for-climate-risk-assessment-with-dr-ron-dembo/. 

Ok, fine, says Sam, here's a new GPT model so you'll hopefully stop saying we're behind. Broadcom as another AI bellwether. Now that Disney is in bed with OpenAI, they're ceasing and desisting Google. And, of course, The Weekend Longreads Suggestions. OpenAI Launches GPT-5.2 as It Navigates ‘Code Red' (Wired) GPT-5.2 is OpenAI's latest move in the agentic AI battle (The Verge) Trump threatens funding for states over AI regulations (Reuters) Broadcom beats on earnings and revenue, says AI chip sales will double in current quarter (CNBC) Disney Accuses Google of Using AI to Engage in Copyright Infringement on ‘Massive Scale' (Variety) Weekend Longreads Suggestions: Want This Hearing Aid? Well, Who Do You Know? (Wired) Tech bros head to etiquette camp as Silicon Valley levels up its style (The Washington Post) Why AGI Will Not Happen (Tim Dettmer) Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode is all about one of the smartest Amazon PPC bidding systems you'll ever come across. Priscilla, our guest, has spent years building her own custom bidding logic — not using software, but by creating a super detailed, data-heavy Excel system that she keeps improving over time. She breaks keywords into different behavior groups, figures out how many clicks each match type really needs to get a sale, checks organic rank, placements, inventory signals, and basically connects all those data points to decide exactly how every bid should move. What's cool is that she didn't learn this from any tool — she built it herself after studying a giant Excel file a VA once gave her. If you want to hear how someone can take PPC bidding way deeper than “raise bid, lower bid,” this episode is a super interesting look into how Priscilla thinks and why her approach works so well.We'll see you in The PPC Den!

Brandon Sammut (Chief People and AI Transformation Officer at Zapier), Jenny Molyneaux (VP of People, Vercel), and Valerie Gobeil (Head of Talent Management, Workleap) joined us for a live session on how HR teams are actually using AI today. We talked about how to get organizations AI-ready, avoid “AI debt,” make smarter build vs buy decisions, and we walked through live demos of AI-powered performance reviews, hiring workflows, interview coaching, engagement insights, and more.----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode272Sponsor Links:

"Efficiency is the new equity." In the traditional agency model, growth usually means hiring more people to do more manual work. This linear relationship eats into your margins, complicates your operations, and ultimately caps your agency's valuation. To truly scale, you have to break the link between revenue growth and headcount.My guest, Rodney Mattos Sr., returns to the show to break down the math behind this shift. In this episode, we explore how his platform allows agencies to move from "people hours" to "precision hours." We get into the financial mechanics of how reducing OpEx through automation doesn't just increase profit - it expands your EBITDA multiple, exponentially increasing your enterprise value. This is the strategy for building a predictable, high-value agency that investors love.▶▶ Sign Up For Your Free Discovery Callhttps://calendly.com/aneary/strategy-sessionKEY MOMENTS(00:00:00) How AI Multiplies Agency Value (00:16:18) The "Post Office" Solution: Solving Data Gridlock (00:23:41) The Mirror Effect: Technology That Reflects Human Judgment (00:35:28) The Math: How Efficiency Expands Your Multiple (00:41:47) The Shift From "People Hours" to "Precision Hours" (01:05:03) The Goal is Freedom, Not Fewer PeopleCONNECT WITH ANDY NEARY

When dealer principal Joe Shaker of Shaker Auto Group started digging into customer feedback, he uncovered a hard truth: even loyal, satisfied customers still felt uncertainty about what was happening behind the service doors. That insight sparked the creation of TruVideo, now one of the most widely used communication platforms in automotive.In this episode, Joe walks through the journey — the early “aha” moments, the data that changed everything, the role of AI, and how video has redefined transparency in the modern dealership. He and Kaylee break down why doubt persists, how clear communication transforms revenue and retention, and what dealers can do right now to close trust gaps and elevate the customer experience.If you're ready to build real transparency, automate stronger processes, and modernize how your parts and service teams communicate, this episode is your roadmap.--------------------------------------------This show is powered by PartsEdge: Your go-to solution for transforming dealership parts inventory into a powerhouse of profitability. Our strategies are proven to amp up parts sales by a whopping 20%, all while cutting down on idle inventory. If you're looking to optimize your parts management, visit

In this bonus episode of Banking on Fraudology, powered by Safeguard , Hailey Windham talks with Ben Graf, a self-taught AI expert in the neobank space. Ben embodies the spirit of curiosity and courage driving the next wave of fraud-fighting transformation.The conversation dives into what it really looks like to learn AI from the ground up, emphasizing that the future of fraud prevention isn't about replacing people, but empowering them through technology.Key Takeaways: AI, Innovation, and Fraud-Fighting EmpowermentUsing AI to Learn AI: Ben explains how he used varying LLM chats (like ChatGPT, Claude, and Gemini) as a coach or mentor, experimenting for hours to understand their capabilities, consistency, and how to effectively prompt them.This approach helped him translate technical language and practices (like data analysis, SQL, and JavaScript) into actionable knowledge for his team, breaking down communication barriers.The hardest part was knowing where to start, but the key was realizing that "something is better than nothing" and compounding knowledge quickly breaks down barriers.Practical AI Applications for Eliminating Busy Work: AI should be used to make teams more efficient and help professionals focus strategically.Automating Document Verification: AI can use OCR to pull data, flag inconsistencies, and serve up summaries for identity, business, and income documents, which are often the most time-consuming parts of a review.Data Retrieval and System Silos: AI can help team members write their own SQL queries to retrieve data from data warehouses, dramatically reducing requests to the data team.Product and Feature Proposals: AI tools can mock up full dashboard concepts and even provide code snippets to give engineers a visual and break down communication barriers between fraud and technical teams.The Power of Empowerment and Buy-In: Leadership should create a culture where fraud fighters are empowered to explore and innovate.The magic of time savings lies in filling the time freed from "busy work" (like false positives) with new, high-impact tasks, whether that's cost savings in fraud loss or better customer retention.Teams are advised to keep proprietary or PII information out of the loop and find safe spaces to explore, remembering that everyone is still figuring out what AI can do.Get in the mood of being grateful for the fraud-fighting community, and be reminded of how strong the fraud-fighting community truly is. About Hailey Windham:As a 2023 CU Rockstar Recipient, Hailey Windham, CFCS (Certified Financial Crimes Specialist) demonstrated unbounding passion for educating her community, organization and credit union membership on scams in the market and best practices to avoid them. She has implemented several programs within her previous organizations that aim at holistically learning about how to prevent and detect fraud targeted at membership and employees. Windham's initiatives to build strong relationships and partnerships throughout the credit union community and industry experts have led to countless success stories. Her applied knowledge of payments system programs combined with her experience in fraud investigations offers practical concepts that are transferable, no matter the organization's size. Connect with Hailey on LinkedIn: https://www.linkedin.com/in/hailey-windham/

How do you take a niche SaaS product from zero to $150k MRR in under two years — without venture capital?In this episode of Founder Views, Kosta Panagoulias sits down with Nadav Boaz, co-founder of VoiceDrop, to break down exactly how they scaled fast by combining cold email mastery, SEO execution, and ruthless operational discipline.This isn't theory. Nadav shares what actually worked — and what didn't — across dozens of past businesses before VoiceDrop finally clicked.We cover:How VoiceDrop reached $150k MRR with a lean, remote teamThe exact 3 growth channels they double down on (and why)How cold email is used strategically — not spammySEO tactics that helped them rank #1 and show up in AI searchWhy pre-authorizing trial users increased conversions from 12% → 50%Managing churn in a high-ticket SaaSWhy “usage” matters more than loginsLessons from running (and failing) dozens of businesses before successIf you're a SaaS founder focused on execution, leverage, and real growth, this episode delivers.Chapters / Timestamps00:00 – Why VoiceDrop caught Kosta's attention02:00 – What VoiceDrop does (ringless voicemail explained)04:00 – Team size, remote setup, and founder roles07:00 – Using past businesses as leverage for new SaaS launches10:20 – The 3 growth pillars: SEO, cold email, Google Ads13:30 – SEO execution: keywords, authority, and SOPs with VAs16:00 – Ranking in AI search (ChatGPT, Gemini, etc.)18:10 – Cold email infrastructure that actually works22:00 – Targeting, segmentation, and ARPU strategy26:00 – When SEO overtook outbound as the #1 channel27:00 – Boosting trial-to-paid conversion to 50%30:00 – Pre-authorization: filtering tire-kickers32:00 – Human vs product-led conversions36:00 – Using AI inside the product (voice cloning, scripts)39:00 – AI for outbound replies and internal leverage41:30 – Scaling fast without burning out as a founder45:30 – Customer support, tooling, and cost control50:00 – Managing churn in a high-ticket SaaS53:30 – The single metric Nadav watches daily54:20 – Favorite business book & lifestyle choices56:20 – One billboard lesson for SaaS founders 

In this episode, host Peter Bauman (Le Random's editor in chief) speaks with transdisciplinary artist Stephanie Dinkins about AI as a container for preserving oral history, tradition, and the kinds of community knowledge that rarely make it onto the internet.Dinkins shares how a chance encounter with Bina48 in 2014 reshaped her practice. They discuss how this connects to her push for small, community-driven data that protects nuance and self-definition, especially for Black and Brown communities, against the homogenizing pull of large corporate models.They also cover Not the Only One as a “living archive” of family memory, the politics of access, privacy, and consent, and why Dinkins treats imagination (and hyperstition) as a practical method for building the AI futures we actually want.Monday's editorial (Beeple on Robot Dogs as Canvas): https://www.lerandom.art/editorial/beeple-on-robot-dogs-as-canvasChapters

These days there seems to be nothing AI can't do for you. Write emails, grocery lists, stories, summaries, and even Christmas messages. But should you be getting an AI to write what should be a heartfelt personal message? Kevin Milne can't help but find the thought of connecting with friends and loved ones this way extremely shabby. LISTEN ABOVE See omnystudio.com/listener for privacy information.

Collab with Artlist and get 2 extra months for free here:https://artlist.io/artlist-70446?artlist_aid=the505podcast_2970&utm_source=affiliate_p&utm_medium=the505podcast_2970&utm_campaign=the505podcast_2970The 10 Minute Personal Brand Kickstart (FREE): https://the505podcast.courses/personalbrandkickstartWhat's up Rock Nation! Today we're joined by Jeff Su. He's an ex-Google employee, turned full-time creator and AI educator. Jeff helps solopreneurs and creators turn AI tools into real leverage, not just shortcuts.In this episode, Jeff shares why AI-native creators will outpace everyone in 2026, how to use AI to replace a 10-person content team, and why good prompts are built on systems, not templates. He also breaks down his repurposing workflow, the red team prompt strategy, and why AI won't replace you, but a smarter creator using AI will.Check out Jeff here:https://www.youtube.com/ ⁨@JeffSu⁩  https://www.instagram.com/j.sushie/SUSCRIBE TO OUR NEWSLETTER: https://the505podcast.ac-page.com/rock-reportKostas' Lightroom Presetshttps://www.kostasgarcia.com/store-1/p/kglightroompresetsgreeceCOP THE BFIGGY "ESSENTIALS" SFX PACK HERE: https://courses.the505podcast.com/BFIGGYSFXPACKTimestamps: 0:00 – Intro1:03 – How Creators Can Use AI as a Tool, Not a Threat2:53 – AI Isn't Replacing You—Bad Creators Are Replaceable4:16 – Why AI Content Won't Kill Human-Made Content5:12 – Using AI at Google vs. as a Creator6:49 – What Are Gemini Gems and How Do They Work?8:09 – ChatGPT vs Claude vs Gemini: Which AI for What Task?10:41 – Why Most People Should Start with ChatGPT12:03 – AI's Impact on Solo Creators and Business Scaling12:44 – The Smart Way to Create 50+ Podcast Clips a Month14:18 – Sponsored Segment: Artlist15:49 – The Biggest Trap Creators Fall Into with AI18:59 – A Hybrid Approach to AI Video Clipping20:32 – The 3 Levels of AI Fluency: Curious, Literate, Native22:19 – Why You Need to Use Text Expanders for Prompting23:18 – Text Expander Tools: Alfred, Raycast & More25:39 – Getting Better AI Results Starts with Better Prompts26:28 – Why Most People Never Advance with AI Tools28:57 – There's No AI Playbook (Yet)—And Why That Matters32:02 – Winning Skeptics Over to the Power of AI33:21 – Reverse Prompt Engineering Explained35:28 – Building a Prompt Database in Notion37:50 – Organizing Your AI Workflow Like a Pro39:21 – Jeff's Research Process Using ChatGPT & Notion41:25 – What is Red Teaming and How to Use It With AI43:12 – Behind Jeff's YouTube Workflow: From Idea to Upload46:02 – How AI Helps Explain Complex Concepts Clearly47:12 – What to Include in Your ChatGPT Custom Instructions50:02 – Evergreen vs. Limiting Custom Instructions50:58 – Why Custom Instructions Can Hurt More Than Help52:53 – Best Practices for Structuring Effective Prompts54:50 – How Prompting Is Like Excel Shortcuts for AI56:16 – Why You Need Battle-Tested Prompts for Your Workflow1:01:33 – Why Reverse Prompting Saves You Hours1:02:13 – Prompting with Hashtags & XML: Advanced Tips1:04:09 – Using AI to Improve Video Prompts for GenAI Tools1:07:05 – Notion Setup: Jeff's Full YouTube Content System1:10:05 – Using AI to Add Clarity Without Losing Personality1:11:33 – Avoid the “Curse of Knowledge” With AI Assistance1:13:40 – How Custom Instructions Shape AI Tone of Voice1:14:40 – Where Most People Go Wrong With Custom Instructions1:16:36 – How Overly Specific Instructions Pigeonhole AI1:17:46 – Bad vs. Good Examples of Custom Instructions1:19:19 – AI Bias: Why Tools May Overfit to Your Role1:20:06 – Best Custom Instructions for General Use1:26:06 – How AI Boosts Productivity Across Roles1:27:15 – Final Tips for Personalizing AI Assistants1:29:36 – Balancing Efficiency With Authenticity in Content1:32:19 – Post Pod DebriefIf you liked this episode please send it to a friend and take a screenshot for your story! And as always, we'd love to hear from you guys on what you'd like to hear us talk about or potential guests we should have on. DM US ON IG: (Our DM's are always open!) Bfiggy: https://www.instagram.com/bfiggy/ Kostas: https://www.instagram.com/kostasg95/ TikTok:Bfiggy: https://www.tiktok.com/bfiggy/ Kostas: https://www.tiktok.com/kostasgarcia/

Morgan Brennan sits down with Will Marshall, Planet Labs CEO, on the latest episode of Manifest Space. They discuss how the company is using AI in its satellite imagery to help countries quickly identify the location of security and economic threats around the world. Plus, the natural advantages for data centers in space—and how Planet Labs how to capitalize on the opportunity.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hey Community Family, in today's episode Kristina is joined by the powerhouse Monique Bryan. She is an AI consultant and personal brand strategist!In this conversation she is walking us through what it looks like to have a human-first AI approach that truly amplifies your strategy and brand, not washes it out.Monique unpacks how AI tools like ChatGPT and Perplexity became her thought partners, helping her scale content, analyze market data, and brainstorm like never before. But she doesn't stop there, she is also breaking down how to actually train AI to sound and think more like YOU, inject your personality and business goals into your prompts, and create custom GPTs that act like team members.You'll also learn why AI doesn't replace human connection, but it can actually amplify it. If you've ever wondered:How do I actually use ChatGPT better?What are some AI tools that are worth trying?How do I keep my brand voice strong in an AI-generated world?Will AI replace personal branding?This is the episode for you.Connect with Monique:Instagram: moniquebryan_coWebsiteMarketing Team in a DayMentioned in the Episode:GammaNotebook LMHow To Rank On ChatGPT with Kelsey ReidlTake our quiz!Send me a text!Support the showFor Your Information: • Host your podcast on Buzzsprout! •Join The High Vibe Women Online Community! • Join our favourite scheduling platform Later • FLODESK Affiliate Code | 25% off your first year! Don't forget to come say hi to us on Instagram @thesocialsnippet, join the Weekly Snippet or follow us on any social media platform! Website . Instagram . Facebook . Linkedin

Almost everyone's using generative AI, but not in the same ways. And why are the best use cases being gatekept by marketers in the know? Peyton and Allen lead a discussion with other Gorillas to go through the use cases and AI strategy most exciting for industrial marketers today.

Morgan Brennan sits down with Will Marshall, Planet Labs CEO, on the latest episode of Manifest Space. They discuss how the company is using AI in its satellite imagery to help countries quickly identify the location of security and economic threats around the world. Plus, the natural advantages for data centers in space—and how Planet Labs how to capitalize on the opportunity.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"Spear phishing is a direct attack." Connect With Our SponsorsGreyFinch - https://greyfinch.com/jillallen/A-Dec - https://www.a-dec.com/orthodonticsSmileSuite - https://getsmilesuite.com/ Summary In this conversation, Gary Salman, CEO of Black Talon Security, discusses the critical importance of cybersecurity in the dental and orthodontic fields. He shares insights on the evolution of cyber threats, particularly focusing on social engineering and phishing attacks. Gary emphasizes the need for comprehensive training for dental staff to recognize and prevent these threats. He also highlights the significance of understanding cyber risk ratings and the role of AI in enhancing cybersecurity measures. The discussion concludes with practical advice for practices to safeguard patient data and navigate the complexities of modern cybersecurity challenges. Connect With Our Guest Black Talon Security - https://www.blacktalonsecurity.com/ Takeaways Gary has over 33 years of experience in dental technology.He emphasizes the importance of cybersecurity in practices.Social engineering is a major threat, often leading to phishing attacks.Training staff is crucial as 60% of cyber attacks result from human error.Spear phishing is a targeted attack that can compromise email accounts.Antivirus software may not detect legitimate software used by hackers.Cybersecurity requires a proactive approach, similar to healthcare.Understanding cyber risk ratings is essential for practices.AI can enhance cybersecurity but requires due diligence.Practices must be aware of their vulnerabilities and take action.Chapters 00:00 Introduction02:02 Gary Salman's Background and Black Talon Security06:33 Understanding Social Engineering Attacks14:14 Preventative Measures and Training25:58 Understanding Cyber Risk in Dental Practices27:52 The Importance of Cyber Risk Ratings28:19 Known Exploitable Vulnerabilities and Network Security33:13 AI in Healthcare: Benefits and Risks36:09 Best Practices for Using AI in Practices38:49 Final Thoughts and Contact Information Episode Credits:  Hosted by Jill AllenProduced by Jordann KillionAudio Engineering by Garrett LuceroAre you ready to start a practice of your own? Do you need a fresh set of eyes or some advice in your existing practice?Reach out to me- www.practiceresults.com.    If you like what we are doing here on Hey Docs! and want to hear more of this awesome content, give us a 5-star Rating on your preferred listening platform and subscribe to our show so you never miss an episode.    New episodes drop every Thursday!   

Artificial intelligence can play a key role in detecting lameness and getting cows on the road to recovery to prevent lost milk production and the financial impact it can have on a dairy operation. In this report from the American Dairy XPO, Nedap's Steve Pavelski shares how the company's SmartSight automated lameness detection system uses... Read More

Daniel Burrus is a strategic AI advisor and Founder of Burrus Research at Burrus Research. He's looked at people utilizing AI to shop for gifts this holiday season. He says they can generate a good list of gift ideas, IF you put in a good set of prompts.

In this week's podcast, I'm talking with Kiley Tan, a co-founder and legal expert in AI with The Legal Director, who sheds light on how startups and businesses can navigate the complex landscape of AI usage, focusing on legal risks, copyright issues, and data protection. Key Discussion Points: Introduction to AI in Business: Kiley Tan shares his journey into AI, explaining how his curiosity led him to pursue an AI course to better understand its applications in business. Legal Concerns in AI: Discussion on common legal challenges related to AI, including data protection, copyright issues, and ownership of AI-generated content. Using Internal Data: Importance of leveraging proprietary internal data which can provide a significant advantage as it's owned by the company. The Role of AI in Legal Drafting: Examination of AI tools in drafting legal documents and the complexities involved. Agentic AI Risks: Examination of risks associated with autonomous agents, including liability issues if AI actions lead to unintended consequences. For more info on The Legal Director, follow this link: https://www.thelegaldirector.co.uk/ You can see Kiley's profile here: https://www.thelegaldirector.co.uk/team/kiley-tan/ You can follow Kiley here: https://www.linkedin.com/in/kileytan/

Teaser ... How AI helped shape cancer treatment for Nathan's son ... Should you tell your doctor about your AI medical adviser? ... Big leaps for Gemini 3 and Claude Opus 4.5 ... How to get the best medical advice from your AI ... The astonishing breadth of AI expertise ... AI can help on the margins ... Bob's AI cancer journey ... AI and “Right to try” ... "Turning every stone" vs falling into anxiety rabbit holes ... Gemini 3 vs Opus 4.5 ... Are scaling laws leveling off? ... AI deception ... Experiments in AI Consciousness ...

Students are motivated to learn when they have autonomy and see the purpose in what they are learning. In this episode, Tara Chklovski joins us to discuss a curriculum in which students use AI tools to solve challenging problems in their communities. Tara is the founder and CEO of Technovation, a nonprofit developer of a curriculum used in over 160 countries and reaching over 400,000 students, to prepare young women for careers in technology. A transcript of this episode and show notes may be found at http://teaforteaching.com.

What did AI actually do for the pet industry in 2025 and what's the real risk if you don't adapt going into 2026? This episode is a passionate, real-talk reflection on how AI revolutionized the pet industry in 2025 and why pet business owners can't afford to ignore it in 2026. I share real examples from inside the mastermind, my personal experiences, and exactly how AI helped us become faster, smarter, and more aligned across every area of our businesses and lives. From hiring to headshots, route planning to recruiting, I break down how AI isn't just a tool, it's a way of thinking. If you're still treating it like a copy machine, you're already behind. In This Episode, You'll Discover: The mindset shift from “Is AI safe?” to “How do I use AI authentically?” Why AI is not just about automating tasks, it's about creating freedom How I used AI to write training, create SOPs, and plan goals for my mastermind members The difference between using AI as a thought partner vs. outsourcing your brain Why even your pet sitters and dog walkers need to know AI basics What “wrapped” reports and Elf on the Shelf have to do with your next level of growth My warnings (and tough love) for those still stuck in 2023 thinking Timestamps: 00:00 — Why ignoring AI in 2026 will cost you everything02:21 — Using AI to analyze dating data (and why it matters for your business)05:00 — 30+ ways we used AI in the mastermind this year07:12 — Rewiring your brain with AI-powered goal setting13:00 — Thought partner vs. outsourced brain: which one are you?23:30 — Why even your dog walkers need to understand AI28:15 — The AI tech stack I swear by (and how to access it all for $20) Notable Quotes: “If you refuse to use AI in 2026, you're going to look like the sitter still using pen and paper.” “Most of you aren't using AI wrong—you're just not using it deep enough.” “Stop acting like ChatGPT is the entire universe. That's like insisting skinny jeans are still in when the world's moved to wide leg.” “The winners in 2026 are the ones who use AI as a co-strategist—not just a copy machine.” Resources & Links: Try Magai AI Hub: Get access to ALL the major AI models in one place (and 30% off your first 3 months) Book a 20-minute strategy call with me. Need website copy help? Get in before the rates go up. Follow me on Facebook for real-time AI examples Transcript: Welcome to another episode of Bella in Your Business. My name is Bella Vasta, and this may be one of the last episodes of 2025. As such, we're going to talk a lot today about just how far we've come and what is actually possible. I hope that this episode excites you, delights you, and lets your brain start thinking about all the things that are possible this year because of AI. I'm not exaggerating. There has never been a better time to own a business than right now. The things that we have access to and the things that we are able to do without having to go out and try to hire somebody are impeccable. If you ignore AI in 2026, and this is my warning as we look forward, you're going to look like the sitter who's using pen and paper, not online scheduling. At the start of this year, back in January 2025, I was trying to convince people that AI was not a fad and that it was actually here to stay. By the end of the year, now, most of you are no longer asking if it's safe to use. You're asking how to use it and still be authentic. That's what I've been here for every step of the way, pacing alongside you. At the same time, I have a lot happening behind the scenes where we are far ahead. I want to keep being your filter. I want to show you exactly what you need to know for your specific pet business so you don't get overwhelmed or distracted by shiny objects. AI is a spectrum. You can show up at a mediocre surface level, or you can go deep. The breadth of what you can do with it is enormous.

We're thrilled to welcome back Eva Hongyan Gao, Head of Product ESG at AMCS Group, a returning guest (episode 102) and a product leader in B2B SaaS, circular economy, and ESG, for a special episode on using LLMs securely inside the enterprise. Eva joins Matt and Moshe to offer a candid, hands-on look at how AI fits into enterprise toolkits, the challenges of data compliance, and the realities of integrating tools like Microsoft Copilot Studio within strict security frameworks.Eva brings deep experience building for demanding enterprise customers, where success is measured not just by innovation, but by strict ISO, SOC 2, and GDPR compliance. She shares what happens behind the scenes as product leaders and IT teams try to balance innovation, cost, and data protection, sometimes losing sleep over responsible tool usage and ever-climbing AI integration costs.Join Matt, Moshe, and Eva as they explore:Using AI tools in highly regulated, security-conscious B2B enterprise settingsThe compliance process: from ISO and SOC2 to GDPR and internal AI guidelinesWhy Microsoft Copilot is becoming the default LLM in enterprises, and what you still need to watch out forBuilding internal agents and chat interfaces to answer roadmap questions and handle stakeholder requestsLessons learned moving from over-engineered platforms to simpler, compliant AI toolsCreative AI workflows, including removing branded assets between Copilot and Figma and orchestrating information for various departmentsThe ongoing struggle: data redaction, internal transparency, and the limits of controlling generative modelsLLM orchestration: mixing old-school logic with new AI capabilities, and knowing when not to use AISecurity best practices and the importance of a trust-based compliance mindset across the organizationWhat happens when stakeholders use AI tools in ways product never expectedOpportunities for Copilot and DevOps to streamline maintenance, documentation, and stakeholder requestsThe future of AI in sustainability, product management, and business decision-makingAnd much more!Want to connect with Eva or learn more?LinkedIn https://www.linkedin.com/in/evagaodeYou can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcastMatt Green: https://www.linkedin.com/in/mattgreenproductMoshe Mikanovsky: http://www.linkedin.com/in/mikanovskyNote: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

In this episode of The Stockman Grassfarmer Podcast, Mike Stockton shares a clear, experience-driven look at common breeding season strategies and the decision-making process behind selecting the right approach for your operation. Drawing from his own work raising direct-market beef on leased land, Mike explains how calving timing and breeding method choices affect labor, cash flow, genetics, and long-term herd resilience. Rather than promoting a single “best” system, this episode focuses on options—helping producers evaluate what works best for their land, resources, and goals. Mike also details why he chose artificial insemination to access adapted genetics affordably, inspired by leaders like Kit Pharo, Greg Judy, Jaime Elizondo, and Gabe Brown.

Jesse Levey, CEO and Founder of Longevity Health, has a focus on extending the health span not just the lifespan of more people by providing access to tools and preventative health information. Lessons learned from expensive concierge medical services are being applied to a broader population, driving down health costs and democratizing longevity medicine. Using AI to build a scalable and personalized approach to wellness not just sick care, Longevity Health aims to make an AI doctor available around the globe.  Jesse explains, "Our mission is to help a billion people live to a hundred in good health. That's the vision. And the way that we get there is by building an AI doctor trains of ed on longevity medicine and distributed around the world. We have a three-phased business model. Phase one is to take the sort of hundred-thousand-dollar-a-year longevity concierge experience and deliver it for $10,000. So we've taken this really high-end experience that combines an executive physical with a longevity concierge physician and a team to help you implement the recommendations. And we've delivered that for $10,000. That's been around for about two years."  "Phase two takes that down to $1,000 with the help of AI. So it reduces the time spent by humans and the need to spend a lot of time with clinicians. And so it's a mix between clinician time and AI interactions. And then eventually, as the regulation allows and as the technology improves, we believe that we'll be able to deliver this experience for as low as $10 a month or $100 a year via an AI doctor. And so that's the future. That's what we're building towards." #LongevityHealth #Longevity #HealthyAging #HealthSpan #FunctionalMedicine #HealthAI #Aging longevityhealth.me  Listen to the podcast here

Jesse Levey, CEO and Founder of Longevity Health, has a focus on extending the health span not just the lifespan of more people by providing access to tools and preventative health information. Lessons learned from expensive concierge medical services are being applied to a broader population, driving down health costs and democratizing longevity medicine. Using AI to build a scalable and personalized approach to wellness not just sick care, Longevity Health aims to make an AI doctor available around the globe.  Jesse explains, "Our mission is to help a billion people live to a hundred in good health. That's the vision. And the way that we get there is by building an AI doctor trains of ed on longevity medicine and distributed around the world. We have a three-phased business model. Phase one is to take the sort of hundred-thousand-dollar-a-year longevity concierge experience and deliver it for $10,000. So we've taken this really high-end experience that combines an executive physical with a longevity concierge physician and a team to help you implement the recommendations. And we've delivered that for $10,000. That's been around for about two years."  "Phase two takes that down to $1,000 with the help of AI. So it reduces the time spent by humans and the need to spend a lot of time with clinicians. And so it's a mix between clinician time and AI interactions. And then eventually, as the regulation allows and as the technology improves, we believe that we'll be able to deliver this experience for as low as $10 a month or $100 a year via an AI doctor. And so that's the future. That's what we're building towards." #LongevityHealth #Longevity #HealthyAging #HealthSpan #FunctionalMedicine #HealthAI #Aging longevityhealth.me Download the transcript here

As podcast guests, showing up unprepared, overly scripted, or simply repeating yourself in every podcast interview can quickly lead to burnout and a lack of results. But, there's a quick way to ensure you're always uniquely prepared for every podcast interview! In this episode, Mike Montague explains how to utilize AI to help with preparation and positioning for upcoming interviews. Get ready to tailor your message uniquely for every host and their audiences in a way that gets you remembered!MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/361Chapters00:00 Harnessing AI for Podcast Preparation02:53 Crafting Your Podcast Persona05:45 Sharpening Your Talking Points09:04 Connecting Through StorytellingTakeawaysAI can help you show up sharper and more relevant.Great guests package their ideas well for hosts.Context builds trust, and AI can give you that context.Be interesting and memorable, not just prepared.AI can be the best brainstorming partner you've ever had.Use AI to save time in your prep and promotion.Know the show, know the host, and know the audience.Don't let AI make you sound more robotic.Treat AI like a coach, not a crutch.Find fresh stories and personal insights with AI.MORE FROM THIS EPISODE: HTTPS://PODMATCH.COM/EP/361

In this episode, Christina shows up at the end of a long day—post-walk, unfiltered, and debating whether she should even hit “upload.” But the story behind why she almost didn't post this one is worth the listen.She also pulls back the curtain on a behind-the-scenes disaster that nearly pushed her over the edge this week. Let's just say it involves a 35-minute recording, a message from her assistant, and a very real “I might cry” moment. Christina doesn't reveal every detail here… but when you hear it, you'll feel it.From there, she shares how her best podcast ideas actually come together—and why next year's episodes are about to look very different. Think: founders, CEOs, entrepreneurs, and some surprising conversations she can't wait to bring back. If you enjoyed this episode, make sure and give us a five star rating  and leave us a comment on iTunes, Podcast Addict, Podchaser and Castbox about what you'd like us to talk about that will help you realize that at any moment, any day, you too can decide, it's your turn! 

Transitioning a mature organization from an API-first model to an AI-first model is no small feat. In this episode, Yash Kosaraju, CISO of Sendbird, shares the story of how they pivoted from a traditional chat API platform to an AI agent platform and how security had to evolve to keep up.Yash spoke about the industry's obsession with "Zero Trust," arguing instead for a practical "Multi-Layer Trust" approach that assumes controls will fail . We dive deep into the specific architecture of securing AI agents, including the concept of a "Trust OS," dealing with new incident response definitions (is a wrong AI answer an incident?), and the critical need to secure the bridge between AI agents and customer environments .This episode is packed with actionable advice for AppSec engineers feeling overwhelmed by the speed of AI. Yash shares how his team embeds security engineers into sprint teams for real-time feedback, the importance of "AI CTFs" for security awareness, and why enabling employees with enterprise-grade AI tools is better than blocking them entirely .Questions asked:Guest Socials - Yash's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:20) Who is Yash Kosaraju? (CISO at Sendbird)(03:30) Sendbird's Pivot: From Chat API to AI Agent Platform(05:00) Balancing Speed and Security in an AI Transition(06:50) Embedding Security Engineers into AI Sprint Teams(08:20) Threats in the AI Agent World (Data & Vendor Risks)(10:50) Blind Spots: "It's Microsoft, so it must be secure"(12:00) Securing AI Agents vs. AI-Embedded Applications(13:15) The Risk of Agents Making Changes in Customer Environments(14:30) Multi-Layer Trust vs. Zero Trust (Marketing vs. Reality) (17:30) Practical Multi-Layer Security: Device, Browser, Identity, MFA(18:25) What is "Trust OS"? A Foundation for Responsible AI(20:45) Balancing Agent Security vs. Endpoint Security(24:15) AI Incident Response: When an AI Gives a Wrong Answer(29:20) Security for Platform Engineers: Enabling vs. Blocking(30:45) Providing Enterprise AI Tools (Gemini, ChatGPT, Cursor) to Employees(32:45) Building a "Security as Enabler" Culture(36:15) What Questions to Ask AI Vendors (Paying with Data?)(39:20) Personal Use of Corporate AI Accounts(43:30) Using AI to Learn AI (Gemini Conversations)(45:00) The Stress on AppSec Engineers: "I Don't Know What I'm Doing"(48:20) The AI CTF: Gamifying Security Training(50:10) Fun Questions: Outdoors, Team Building, and Indian/Korean Food

What does it really look like to build a tech company from scratch — as a woman, a founder, a mother, and a deeply intuitive leader? And what happens when you hit the wall of burnout… but choose to rebuild your business from a place of ease, alignment, and sovereignty instead of hustle? This week, I sit down with the extraordinary Heather Udo, Founder & CEO of Shoppable — a SaaS platform powering shoppable experiences for major retailers, global CPG brands, and creators. Heather shares the truth behind: ✨ Growing Shoppable into a profitable tech company over 14 years ✨ Navigating male-dominated startup culture ✨ Raising (or intentionally not raising) VC funding ✨ Coaching first-time tech founders ✨ Being a mother while running a company ✨ Using AI the right way for e-commerce ✨ Rebuilding after burnout ✨ Creating a life and business led by alignment, not adrenaline She also breaks down how Shoppable helps stylists, bloggers, designers & creators stop losing commission to coupon extensions (

The All Local 4pm Update for Tuesday, December 9th 2025

Send us a textGroups that adopt AI thoughtfully will outpace those who don't—faster than most people realize.That's the bottom line. AI isn't some futuristic buzzword anymore. It's here, it's already changing how practices operate, and it's moving fast. Medical groups that learn how to integrate AI into their daily routines—clinically, operationally, administratively, financially—will be more efficient, more scalable, and frankly, more competitive than those who wait and see.If you're picturing robots walking around the office, let me stop you right there. We're not talking about futuristic sci-fi. We're talking about tools that write your notes for you, draft your emails, analyze your claim denials, and help you prepare for board meetings—all in a fraction of the time it used to take.Today, we're going to talk about practical, daily AI use for physicians and healthcare administrators. We're going to break it down into four key categories—areas where AI is already making a huge difference in real practices, and where it can start helping yours right away. Please Follow or Subscribe to get new episodes delivered to you as soon as they drop! Visit Jill's company, Health e Practices' website: https://healtheps.com/ Subscribe to our newsletter, Health e Connections: http://21978609.hs-sites.com/newletter-subscriber Want more formal learning? Check out Jill's newly released course: Physician's Edge: Mastering Business & Finance in Your Medical Practice. 32.5 hours of online, on-demand CME-accredited training tailored just for busy physicians. Find it here: https://healtheps.com/physicians-edge-mastering-business-finance-in-your-medical-practice/ Purchase your copy of Jill's book here: Physician Heal Thy Financial Self Join our Medical Money Matters Facebook Group here: https://www.facebook.com/groups/3834886643404507/ Original Musical Score by: Craig Addy at https://www.underthepiano.ca/ Visit Craig's website to book your Once in a Lifetime music experience Podcast coaching and development by: Jennifer Furlong, CEO, Communication Twenty-Four Seven https://www.communicationtwentyfourseven.com/

Check your grocery receipt. A new investigation exposes how Instacart is using smart algorithms to quietly jack up prices. Sometimes by dollars per item. Plus, ChatGPT vs. Gemini, Google's smart glasses and Silicon Valley's new code word for layoffs. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jump in with Carlos Juico and Gavin Ruta on episode 264 of Jumpers Jump. This episode we discuss: Using AI to translate what people are saying, Ai getting caught coughing, Lebron james retiring theory, Machop pokemon mandela effect, Follow the north star mandela effect, Jimmy page haunted house story, Ebo Noah's vision from Jesus, September 2026 laptop mystery, Breaking bones theory, Distractions for the epstein book, Holiday dates theories, Manifesting a rumour, Blood is blue mandela effect, Beatles album hidden detail, Using AI to create influencers, All roads lead to rome, Roman empire is still alive, Growing up and following rules, Nothing in life matters, Gen Z culture, Older vs younger brother, Would you be friends with your clone, Selective hearing, Craziest torture methods, Having meaningful conversations with people and much more! -Go to https://zbiotics.com/JUMPERS and use JUMPERS at checkout for 15% off any first time orders of ZBiotics probiotics -Shop all things home at https://www.wayfair.com -Download the DraftKings Casino app and use code JUMPPOD to enjoy Holidays on the House -Download Cash App Today: https://capl.onelink.me/vFut/wh9pmopc #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. Follow the podcast: @JumpersPodcast Follow Carlos: @CarlosJuico Follow Gavin: @GavinRutaa Check out the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/JumpersJumpYT⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Scott and CJ go live from JS Nation NYC to talk about how developers can actually stay current without drowning in the constant churn of new tools and trends. They break down how to see through the fluff, focus on why tech exists before adopting it, and build a healthier, curiosity-driven approach to learning in 2025 and beyond. Show Notes 00:00 Welcome to Syntax! 00:39 Scott delivering a non-technical talk at JS Nation. 03:24 Lamenting the frequency of change as developers. 03:46 Understanding why things exist before deciding to learn them. 05:11 Learning styles are a myth? 07:41 First dates and psychology exams. 10:39 Discovering is step one, playing is step two. 13:32 Learn with a project that you actually want. 18:16 Brought to you by Sentry.io. 18:34 Cutting through the noise of new tech. 21:40 Using AI as a learning tool 25:12 Sick Picks & Shameless Plugs. Sick Picks Scott: dbrand Ghost Case 2.0 CJ: analog watches 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 new report from Stanford and Common Sense Media finds that more than half of U.S. teens use AI chatbots for companionship. But, according to Dr. Darja Djordjevic, an adolescent and adult psychiatrist who co-authored the research, the bots aren't equipped to provide the kind of emotional support young people need when dealing with a mental health issue.Dr. Djordjevic and her team simulated conversations involving various mental health concerns with four of the most popular consumer chatbots and identified several risks; chiefly, their tendency to be sycophantic. A note, this conversation mentions suicide and self-harm.

A new report from Stanford and Common Sense Media finds that more than half of U.S. teens use AI chatbots for companionship. But, according to Dr. Darja Djordjevic, an adolescent and adult psychiatrist who co-authored the research, the bots aren't equipped to provide the kind of emotional support young people need when dealing with a mental health issue.Dr. Djordjevic and her team simulated conversations involving various mental health concerns with four of the most popular consumer chatbots and identified several risks; chiefly, their tendency to be sycophantic. A note, this conversation mentions suicide and self-harm.

In this episode, Ryan Deiss shares his insights on the impact of AI on business and marketing. He discusses the uncertainty surrounding the future, the shift in consumer behavior towards AI-driven results, and the steps his companies are taking to adapt. Ryan elaborates on the strategic pivot at Digital Marketer, transitioning from traditional training to leveraging AI tools trained on proprietary IP. He also provides practical advice on how businesses can audit and implement AI to improve efficiency and drive growth. Whether you're an entrepreneur, marketer, or business owner, this episode is a must-watch to understand the transformative potential of AI in today's market. 00:00 Uncertainty in the Age of AI 00:38 Exploring Ryan Deiss' Marketing Empire 01:25 Navigating Market Conditions and Deal Strategies 05:19 Reviving Businesses: The Process 12:08 The Role of AI in Business Optimization 19:32 AI's Impact on the Information and Coaching Industry 25:59 AI Integration in Business Operations 32:35 Future of Work: AI and Human Roles 36:40 AI's Influence on Business Valuations 39:21 Implementing AI in Portfolio Companies 41:36 AI Integration in the Workplace 42:26 Challenges and Fears of AI Adoption 43:23 AI as a Competitive Advantage 43:59 AI in Marketing and Acquisitions 44:45 The Future of AI in Business 48:26 Implementing AI for Efficiency 55:55 The Rise of AI Agents 01:03:50 AI's Impact on Employment and Economy 01:08:05 Digital Marketer's AI Pivot 01:17:47 Final Thoughts and Reflections

Today's episode breaks down a massive new empirical study from OpenRouter and a16z that analyzed more than 100 trillion real-world tokens to reveal what developers and power users are actually doing with AI right now, from the surge in reasoning models to the dominance of coding workloads to the unexpected rise of roleplay in open-source systems. The discussion explores how the shift toward long-context programming tasks, tool-use invocation, and hybrid stacks of closed and open models is reshaping the practical AI landscape and what patterns matter most heading into 2026. Headlines include fresh rumors around GPT-5.2, OpenAI's UX cleanup efforts, and the latest shake-ups at Apple and Meta. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gemini - Build anything with Gemini 3 Pro in Google AI Studio - http://ai.studio/buildRovo - Unleash the potential of your team with AI-powered Search, Chat and Agents - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://rovo.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? sponsors@aidailybrief.ai

BONUS: Impact Engineering—Finding Agile's Lost North Star With Tom Gilb and Simon Holzapfel The Clarity Problem: Why Organizations Start with "Fuzzy B*S*!" "Everybody seems to start from a position of fuzzy b*s*. Nice-sounding words. Management does it, professors do it, politicians do it. And they don't even feel very guilty about it."   Tom Gilb doesn't mince words when describing how most organizations define their objectives. The fundamental problem isn't a lack of ambition—it's a lack of clarity. When leaders are asked about their critical values like "extremely high security" or "employee happiness," they typically respond with circular definitions that provide no actionable direction. Tom's approach starts by exposing this gap and then demonstrating that any value—no matter how "soft" or intangible it seems—can be quantified. Using AI tools, he's shown clients over 1,400 different ways to measure human happiness alone. Why Agile Lost Its North Star "Agile's lost its North Star because the economic problems it was trying to solve within the organization are now mismatched with the digital world."   Simon Holzapfel offers a structural analysis: Agile developed primarily to allay the concerns of pre-digital capital—investors who needed reassurance that their money wouldn't disappear into failed projects. But today's digital economy operates differently. Capital now moves like a service (SaaS model), and innovation is fundamentally stochastic—you can't predict when breakthroughs will happen. Organizations using flow-focused tools when the real problem is value creation are applying yesterday's solutions to today's challenges. The First Step: Quantify Your Critical Values "If you ask AI to quantify employee happiness a hundred different ways, it will do it in one minute for free. So you can no longer be in denial."   The path forward starts with brutal honesty about what your organization actually cares about. Tom's approach involves:   Identifying the top 10 critical stakeholder values Defining clear scales of measure for each Establishing where you are now (status) Setting where you need to be to survive (tolerable level) Defining what success looks like (target/goal level)   This isn't about adding bureaucracy—it's about creating shared clarity that enables everyone to row in the same direction.   About Tom Gilb and Simon Holzapfel   Tom Gilb, born in the US, lived in London, and then moved to Norway in 1958. An independent teacher, consultant, and writer, he has worked in software engineering, corporate top management, and large-scale systems engineering. As the saying goes, Tom was writing about Agile before Agile was named. In 1976, Tom introduced the term "evolutionary" in his book Software Metrics, advocating for development in small, measurable steps. Today, we talk about Evo, the name Tom uses to describe his approach. Tom has worked with Dr. Deming and holds a certificate personally signed by him. You can listen to Tom Gilb's previous episodes here.    You can link with Tom Gilb on LinkedIn    Simon Holzapfel is an educator, coach, and learning innovator who helps teams work with greater clarity, speed, and purpose. He specializes in separating strategy from tactics, enabling short-cycle decision-making and higher-value workflows. Simon has spent his career coaching individuals and teams to achieve performance with deeper meaning and joy. Simon is also the author of the Equonomist newsletter on Substack. And you can listen to Simon's previous episodes on the podcast here.    You can link with Simon Holzapfel on LinkedIn.

If life has been lifing hard lately and you're wondering, "How am I supposed to keep showing up in my business like this?"…this episode is going to blow your mind in the most practical way. Today I'm joined by Jordan Gill, creator of Systems Saved Me, longtime VIP Day queen, and the systems brain you wish you had on retainer. We talk about how she turned a 3-hour daily school commute into a content machine that produces up to 80 pieces of content a day, without her sitting at a laptop, and without sounding like an AI robot. This conversation is part systems masterclass, part permission slip to build a life-first business and let automation and collaborations do the heavy lifting. In this episode, we dive into: How Jordan accidentally discovered she's a "systems person" and went from content strategist for a big-name online brand to founder of Systems Saved Me. Her exact "car-to-content" workflow: How she uses a 45-minute school run to answer 10 interview-style questions Why each question becomes 8 pieces of content across platforms The tools she uses (Cleft, Telegram, Zapier, Airtable, ChatGPT, Metricool) to automate everything behind the scenes. Using AI without losing your voice: how Jordan uses AI to organize, structure, and repurpose her actual words, not replace them. The number one system she recommends for non-systems people who feel overwhelmed (spoiler: it's your scheduler, not a 47-step backend build). Collaboration as a growth strategy – how Jordan approaches collabs so they feel like real relationships, not awkward "networking." Why some of her best clients come from collaborations and how she thinks about long-game reciprocity (not tit-for-tat). The "unusual" ways she runs her business: Why she's never required collaborators or speakers to promote her events Why she has always paid her speakers and how that aligns with her values Her philosophy on creating share-worthy offers that people can't help talking about Connect with Jordan →Get Her Carpool Content System Here: https://systemssavedme.spiffy.co/a/Y7zFnxeG7n/5720  →Connect with Jordan on Instagram: @systemssavedme   Connect with Meg →Snag your seat in the Edge Led Launch System Workshop: https://meganyelaney.com/black-friday-workshop-opt-in  This workshop will show you how to choose the right topics, craft edge-led messaging, and structure launches that convert even when your Instagram reach is trash. →Come say hi on Instagram: https://www.instagram.com/meganyelaney       

Are you ready to reclaim precious hours in your week? Join hosts Kelly-Jace Halls, Heather Black, and Lyn Constantine as they dive into AI-powered productivity hacks for meal planning and shopping. This episode is packed with personal stories, helpful tips, and playful banter about how tech-savvy mums can save over 10 hours a week using AI tools. From building smart shopping lists to managing leftovers, discover how real mums are transforming their kitchens and family routines – all while finding extra time for themselves and their loved ones. Whether you're juggling dietary requirements, hunting for quick meal inspiration, or just wanting to avoid those time-consuming supermarket trips, this conversation will leave you feeling empowered and inspired to give AI a try. Websites Mentioned: Melia (UK): AI meal planning and shopping integration Meal Match UK: AI-powered meal matching Eatr (focused on healthy eating and calorie counting) ChatGPT (as the primary AI tool used by the hosts) Key Points This Episode Covers: How AI can save over 10 hours a week on meal planning, shopping and food prep Real-life stories from the hosts using ChatGPT to create tailored meal plans and adapt recipes for specific dietary needs Using AI to manage leftovers and create tasty new dishes from what's in your cupboards The pros and cons of AI-powered shopping apps like Melia and others, including budget and organic food considerations Tips for streamlining the weekly shop and curbing overspending in supermarkets (including classic mum wisdom like shopping with a strict list and not shopping when hungry) Embracing voice-controlled AI for hands-free productivity at home and on the go Integrating meal planning tools with mainstream UK supermarkets for added convenience Tune in to start your journey to easier, healthier and happier family mealtimes — and let the Mums on Cloud Nine team empower you to carve out more quality time for yourself. Share your thoughts! We love hearing from our listeners. Drop your comments, suggestions or questions on your favourite podcast platform. Subscribe for more weekly tips and stories that support ambitious women and mums. Brought to you by the Supermums team. Supporting women to relaunch their careers and build a life they love since 2016.

In an interview recorded at Thrive Summit in November, we explore how innovative clinicians are leveraging athenaOne and artificial intelligence tools to overcome geographic barriers while maintaining the personal connection that's so vital to effective patient care. Dr. Allen Gee is a neurologist practicing in Wyoming, where he's one of only eight full-time neurologists serving a state of over 500,000 residents across hundreds of miles. With his focus on "neurohealth" — treating the whole person rather than just symptoms — Dr. Gee shares his insights on using athenaOne's tools for patient engagement, how AI is helping him focus on patients rather than screens, and why he believes the future of healthcare lies in the collaboration between human intelligence and artificial intelligence.

In this episode, the crew kicks things off with pure mayhem — snowstorms in Michigan, salmon rain in California, and a spontaneous performance of “It's Raining Men.” From there, the guys dive into housekeeping, holiday updates, merch drops, and a surprising announcement from Brian about his upcoming Fire Marshals International Swimsuit Calendar.But the main topic?