Podcasts about prompts

Today we're putting AI (Artificial Intelligence) to the test with AI money expert Jeffrey Trull. He's founder of the blog and newsletter, Money Meets AI where he shares tested prompts for your money. He joins us to sort the genuinely useful from the wildly overhyped when it comes to AI. We expand our conversation into prompts, privacy, hallucinations, portfolio questions, Google vs. ChatGPT, paid vs. free tools, and where AI can actually save real time for DIYers. Along the way, Bill wrestles with the tradeoff between efficiency and original thought, Jackie pushes the "AI as thought partner" framing, and Jeffrey stresses that it's great for lower-risk questions but terrible as your all-knowing financial planner.  This episode covers: Where AI is genuinely useful for DIY personal finance Why prompts matter, but perfection is overrated Using AI to review insurance, contracts, and 401(k) plan docs Google vs. ChatGPT vs. Claude for money questions Paid vs. free AI tools and when subscriptions are worth it AI "hallucinations" and how to fact-check outputs Privacy concerns when uploading financial documents Why AI should be a thought partner, not your financial planner Agentic AI, AI shopping assistants, and what may be coming next   ====================   DEALS & DISCOUNTS FROM OUR TRUSTED PARTNERS   MONARCH MONEY The modern way to manage money! Monarch will change the way you organize your financial life. Track, budget, plan, and do more with your money – together. Get 50% off the first year using this link and entering code: CATCHINGUP50   For a full list of current deals and discounts from our partners, sponsors and affiliates, click here: catchinguptofi.com/our-partners    SUPPORT  THE  SHOW

AI is everywhere right now, and for many interior designers, it brings a quiet but very real fear. Not fear of learning something new. Not fear of using new tools. But fear of becoming irrelevant.In this episode, McClain shares highlights from a recent presentation designed to help designers better understand how artificial intelligence is changing the industry. He explains what AI can realistically support in your business, what it will never replace, and why the human side of design is becoming even more valuable.You will hear practical examples of how AI can help with everyday operational tasks like emails, workflows, documentation, and marketing. McClain also explains why emotional intelligence, client trust, real-time decision making, and creative intuition remain core differentiators that technology cannot replicate.This conversation offers both reassurance and direction. Instead of avoiding AI or feeling overwhelmed by it, designers are encouraged to begin using it in small, strategic ways. The goal is not to compete with technology, but to let it handle speed and repetition while you focus on leadership, creativity, and client experience.McClain also discusses why the interior design industry is uniquely positioned in an AI-driven landscape. As fast and generic solutions become more available, bespoke thinking, personal attention, and a clear design philosophy become stronger competitive advantages.If you have been wondering how to stay relevant, visible, and trusted as AI continues to evolve, this episode provides a grounded place to start.To get your own copy of the Free 25 Prompts for AI: https://learn.mcclainmethod.com/harnessing_ai_promptsText Me a Message!FREE VIDEO TRAINING DIRECT FROM JOHN:Design feels natural.The business side doesn't.Join this free 39-minute training for interior designers and learn the 3 secrets to building a profitable, stress-free design business without burnout or chaos.

Listening can be more complicated than it seems at first. And apparently you know this already, because I had such nice response to our most recent episode talking about listening. So I wanted to follow it up today with some prompts to help you reflect on your listening, so you could take the next step […]

World governments, deeply worried about the impact of the Iran war on energy prices, have approved a record release of strategic petroleum reserves. Plus: interviews with UAE minister of state, Noura Al Kaabi, the British Council for Offices at Mipim and Australian singer Sam Quealy.See omnystudio.com/listener for privacy information.

This is how to use ChatGPT 5 to skyrocket your Etsy sales ASAPIn today's episode, we're breaking down the best prompts that you can use today to increase Etsy orders, get help for hiring shop assistants, create shop content for TikTok, and much more!Feeling stuck with your Etsy shop? Inside our Ultimate Etsy course and coaching program, we believe there's no one size fits all strategy. Every shop is different. That's why the first step is to book a call with our team so we can understand your goals, identify what's holding your shop back, and help you create a clear path to growth.

In dieser Folge von Handwerk Next sprechen Juliane und Tim mit Dr. Michael Zeisig darüber, wie Unternehmen mit KI-Agenten arbeiten können, welche Rolle Daten und Prozesse dabei spielen und warum erfolgreiche Digitalisierung im Handwerk vor allem eine Frage von Führung und Unternehmenskultur ist.Michael berichtet aus seiner eigenen Praxis als Berater und zeigt, wie er sich Schritt für Schritt ein eigenes Team aus KI-Assistenten aufgebaut hat. Aus einzelnen Prompts wurden strukturierte KI-Teams entlang der Wertschöpfungskette, die ihn heute bei Aufgaben wie Recherche, Angebotserstellung oder Strategiearbeit unterstützen. Ein entscheidender Faktor dabei: Daten, klare Prozesse und eine gute Organisation der KI-Agenten. Doch im Mittelpunkt steht eine andere Erkenntnis: Der Erfolg von KI ist in erster Linie eine Führungs- und Kulturfrage. Unternehmen müssen ihre Mitarbeitenden mitnehmen, Nutzen sichtbar machen und Veränderung aktiv gestalten. Gerade im Handwerk bedeutet das: mehr Zeit für das eigentliche Handwerk und weniger Bürokratie durch intelligente Unterstützungssysteme. TakeawaysDer Unterschied zwischen KI-Assistenten und KI-Agenten: Agenten arbeiten stärker eigenständig und verfolgen ein Ziel statt nur einzelne Prompts.KI wird besonders wirkungsvoll, wenn sie entlang der Wertschöpfungskette eines Unternehmens organisiert wird. Der größte Hebel für erfolgreiche KI-Einführung ist nicht das Tool, sondern Führung und UnternehmenskulturUnternehmen sollten zuerst Prozesse und Daten strukturieren, bevor sie neue KI-Tools implementierenMitarbeitende akzeptieren neue Technologien nur dann, wenn sie einen klaren persönlichen Nutzen erkennen.Für Handwerksbetriebe kann KI vor allem eines bedeuten: mehr Handwerk, weniger BüroarbeitKapitel (00:00) Start in den Podcast (03:41) Einführung in die Welt der KI Agenten (05:30) Vier KI gesteuerte Teams(27:00) Change Management & Veränderungskompetenz(43:00) Zukunftsblick _______Allgemeine Links:

What does it mean to live a “good life”? This dharma talk starts there. We'll spend some time with Hui-Neng's teaching on one practice samadhi, which, it turns out, offers a surprising and slightly subversive take on living well. Prompts for discussion: 1. What makes a good life? 2. How well are you living this good life? Nate's reading is from the Platform Sutra, by Huineng.

The second of two glorious episodes published this week!  Bask in my mistake.  (Brett isn't here this week, something about a power failure)Nvidia discovers that you probably cannot vibe code drivers, Number 9, Gaming is just not a priority for Microsoft, and Star Citizen has a data breach.  Microsoft is still pushing Copilot BTW.   All that and so much more fun below. Timestamps:0:00 Intro00:57 Patreon02:24 Food with Josh05:07 NVIDIA finds that drivers are hard07:05 Remember Number Nine?07:45 NVIDIA's 9GB GPU10:41 Some Apple news in here somewhere15:40 Musings on Android open-ness and Epic's win17:42 Intel has a new Chairman of the Board20:52 Xbox no longer a priority for Microsoft23:09 DDR5 bots25:10 Improve Arc B Series perf by 90% with new DirectX feature?27:03 IKYMI Drop is shutting down28:13 (In)Security Corner37:19 Gaming Quick Hits42:54 Picks of the Week54:16 Outro ★ Support this podcast on Patreon ★

The San Joaquin River Parkway & Conservation Trust is hitting the brakes on using compost made from human remains at Sumner Peck Ranch after public outcry and warnings from county and state officials. Local leaders called the practice illegal under current California law, while the Picayune Rancheria of the Chukchansi Indians condemned it as deeply disrespectful to their ancestral homeland along the river. Please Like, Comment and Follow 'Broeske & Musson' on all platforms: --- The ‘Broeske & Musson Podcast’ is available on the KMJNOW app, Apple Podcasts, Spotify or wherever else you listen to podcasts. --- ‘Broeske & Musson' Weekdays 9-11 AM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Facebook | Podcast| X | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | InstagramSee omnystudio.com/listener for privacy information.

Our lead story: evacuated two months ago due to failed infrastructure and the threat of cryptosporidium, Kashechewan First Nation calls on Indigenous Services Canada minister Mandy Gull-Masty to resign following delays to much-needed repairs.

Episode #90: How Microsoft's AI Innovation Officer Actually Uses AI | Dr. Michael J. Jabbour on Thinking, Not Just Tools AI is changing our brains. How we work. How we think. And even how we feel.  The question isn't "Should I use AI?" It's "How do I direct the change?" Michael J. Jabbour says he uses AI for 70% of his work. "Not because it's faster. Because it would be irresponsible not to."

We're starting a new thing! Each day will now be either a Calm Day (I read you personal affirmations) or a Question Day (I answer silly, saucy, or personal questions), depending on how many seconds it takes me to light my candle.Today's episode was a Question Day, thanks to the random question generator 52 Prompts (not sponsored, just found them online).Mostly, this episode is just us sitting together, answering whatever comes up, and rambling through in conversation and in the depths of the cave system.If you're here to unwind, to listen to someone think out loud, or to have a gentle companion while you go about your evening, you're in the right place. Thank you for being part of this daily ritual. And if you eat something too spicy...let me know

Masterclass gratis CÓMO ESCRIBIR UNA NOVELA ➡️https://www.letraminuscula.com/como-escribir-una-novela/ SI deseas PUBLICAR escríbenos : contacto@letraminuscula.com Lláma☎ o WhatsApp: +34640667855 RESUMEN: En este vídeo se explican 22 errores comunes que cometen los escritores al usar inteligencia artificial para escribir ficción. Desde delegar toda la creatividad hasta no revisar incoherencias, abusar de clichés o perder la voz narrativa, se destaca que la IA debe ser una herramienta y no un sustituto del autor. La responsabilidad creativa siempre recae en el escritor. ⏲MARCAS DE TIEMPO: ▶️00:00 22 errores al usar IA en ficción ▶️00:21 Delegar toda la creatividad a la IA ▶️01:11 No tener visión clara del libro ▶️01:45 Aclárate antes de escribir con IA ▶️02:19 Aceptar sin revisar lo generado ▶️02:48 Descuidar tu voz narrativa propia ▶️03:29 No formarte en técnica narrativa ▶️04:29 Ignorar coherencia interna ▶️05:09 Abusar de clichés repetidos ▶️05:55 No adaptar al público objetivo ▶️06:41 Diálogos artificiales o falsos ▶️07:09 Problemas de ritmo narrativo ▶️07:26 Errores lógicos o temporales ▶️07:43 Fallos culturales o históricos ▶️08:21 No reescribir el borrador IA ▶️09:09 Perder tono y género literario ▶️09:38 Prompts vagos o mal formulados ▶️10:07 No integrar experiencia personal ▶️10:42 Depender siempre ante bloqueos ▶️11:09 Inspiración vs copia con IA ▶️11:37 Subestimar la edición humana ▶️11:53 La IA es herramienta, no autor ▶️12:22 Publica tu libro con apoyo profesional ▶️12:39 Despedida y contacto editorial

255 | Welche neuen Regeln gelten für Venture Capital - und macht das überhaupt Sinn? Dazu Gedanken zu AI Kapital für Unternehmen, Dark Companies und Samuels Rückfall ins Nerd-tum.Partner dieser Folge:HOLVIFinanzen für kleine Unternehmen: Von Chaos zu Klarheit mit HOLVI - Das kostenlos Holvi Flex Konto ist perfekt für Solopreneure, Freelancer und Unternehmen, die wachsen wollen. www.holvi.comClockodoDas Time-Tracking-Tool unserer Wahl. ⁠https://www.clockodo.com/⁠optimisten Gutschein-Code: optimisten25 für 25% Rabatt.Mach das 1-minütige Quiz und finde eine Geschäftsidee, die zu dir passt: digitaleoptimisten.de/quiz.Kapitel(00:00) Intro(03:42) Samuels Magic Rückfall(08:24) Humankapital, Markenkapital - brauchen wir AI Kapital(23:11) Neue Spielregeln im Venture Capital - aber wo kommt die Kohle her?(35:24) Fast Alex' Geschäftsidee für diese Folge ARGUS(40:44) Warum nutzen Mitarbeiter in Samuels Startup AI Tools nicht? (ca. (49:36) Geschäftsidee von Alex: SpesenFix(54:58) Geschäftsidee von Samuel: Neo ITLearnings**AI-Kapital als immaterieller Unternehmenswert**AI-Kapital wird als immaterieller Wert beschrieben, der wächst, wenn Foundation-Modelle besser werden und Prozesse automatisieren. Unternehmen sollten dieses Kapital als potenziell messbaren Wert neben Marke, Finanzkapital und Reputationskapital betrachten. Hypothese: AI-Kapital wird künftig eine zentrale Rolle in der Bewertung von Unternehmen spielen.**Geschäftsmodell-First: Technologie sinnvoll integrieren**Technologie muss ins Geschäftsmodell passen, nicht jeder neue Tech-Trend erhöht automatisch Wert. Beispiele aus der Diskussion zeigen: Metaverse wird als sinnloser Nutzen gesehen; AI soll dort eingesetzt werden, wo er mehr Wert schafft. Warum relevant: Wer Technologie nur um der Technologie willen nutzt, verschwendet Ressourcen.**Dark Companies – neue Organisationsformen**Der Begriff Dark Companies beschreibt agentische Unternehmen, deren Kernfunktionen durch AI-Agenten statt durch Menschen erledigt werden. Konkrete Beispiele: Content Agent, Attention Agent, Sales Agent – dadurch wächst die Produktivität und Skalierbarkeit. Implizite Implikation: Unternehmen müssen Aufgaben, Governance und Prompts neu strukturieren, sonst scheitern sie an der Umsetzung.**Neue Fundraising- und Wachstumsbenchmarks**Die Fundraising-Realität verändert sich: früher galt Triple-Triple-Double, heute erwartet man achtfachen Umsatz innerhalb eines Jahres oder konsistent 3x-Wachstum ab ca. 5 Mio Umsatz. Zudem wird berichtet, dass Seed- und Series-A-Höhen steigen, dafür aber der Weg zu Investoren stärker an Effizienz und schnelle Skalierung gebunden ist. Implikation: Startups und Gründer sollten klare Wachstums- und Umsatzbarrieren definieren, bevor Kapital aufgenommen wird.KeywordsAI-KapitalImmaterielles KapitalDark CompaniesAgentic CompanyAI-FoundationBedeutung von AI-Kapital für UnternehmenDark Companies DefinitionAgentic Companies Use CaseSpesenfix automatische Rechnungen hochladenArgus AI Tool KonzeptNeo-IT GeschäftsideeMarkenwertReputationskapital

Doug Green, Publisher of Technology Reseller News, interviewed Ethan Ouyang, Head of the U.S. Department of Atoms at DeepWisdom, to discuss a new class of AI innovation: autonomous AI teams capable of building, launching, and operating real businesses from a single prompt. Ouyang described Atoms as a next-generation AI business solution designed to move beyond copilots and task-based agents. Rather than assisting humans with discrete workflows, Atoms functions as a coordinated, multi-agent system that can plan, execute, iterate, and grow revenue-generating products. The platform leverages open-source models and modular architecture to deliver enterprise-grade performance while maintaining cost efficiency and flexibility. A central theme of the conversation was the shift from “AI tools” to “AI organizations.” Ouyang explained that Atoms is structured to simulate functional teams—product, engineering, marketing, and operations—working collaboratively to bring an idea to market. This approach enables faster experimentation, shorter development cycles, and measurable business outcomes. For telecom, MSP, and channel audiences, the implication is significant: AI is no longer just about automation within existing businesses—it may also become a mechanism for creating entirely new lines of revenue. Ouyang also addressed the economics of AI deployment. As infrastructure costs and model usage scale, enterprises are increasingly seeking performance-per-dollar advantages. Atoms is positioned to deliver competitive output quality while reducing operational expense through optimized model orchestration and autonomous workflow design. The result, he suggested, is a more sustainable path toward AI-driven growth. Looking ahead, Ouyang framed Atoms as part of a broader transformation in how organizations think about productivity and entrepreneurship. As AI systems gain the ability to operate with greater autonomy, the competitive advantage will shift toward those who can effectively deploy and govern these digital teams. For technology providers and partners, that represents both a strategic opportunity and a call to rethink traditional business models. More information about Atoms and DeepWisdom's autonomous AI initiatives is available at https://atoms.dev/.

Im Podcast begrüßt dich Thomas Mangold und präsentiert dir vier außergewöhnliche KI-Hacks, die deine tägliche Arbeit mit künstlicher Intelligenz auf ein neues Level heben können. Ganz gleich, ob du bereits intensiv mit KI arbeitest oder sie nur gelegentlich nutzt – diese Tipps versprechen massiven Zeitgewinn, verbesserten Output und eine spürbare Vereinfachung deiner Arbeitsprozesse. Freu dich auf praxistaugliche Methoden wie die Prompt-Umkehrtechnik, das Säulendokument-Prinzip, den gnadenlosen Kritiker und das Bauplangerüst. Thomas Mangold verrät dir, wie du in Zukunft bessere Prompts erstellst, aus einem Dokument verschiedenste Inhalte generierst, deine Ergebnisse vorher smart überprüfen lässt und mit durchdachter Struktur zu optimalen Resultaten gelangst. Natürlich gibt's auch einen wahren Bonus-Tipp zum Abschluss! Viel Spaß und Inspiration beim Zuhören – und vielleicht kennst du ja jemanden, der von CAI noch profitieren kann? Dann teile gerne diese Folge! **Hier geht es zum Werbepartner dieser Podcast-Folge**: https://selbst-management.biz/podcast-partner Links: - Kostenloser Mangold-Academy Bonus-Bereich: https://my.mangold.academy/anmeldung-vip-bereich-2/ - Goodie des Monats: https://my.mangold.academy/courses/einstieg-in-das-selbstmanagement/lessons/goodie-des-monats/ - SelbstmanagementRocks Masterclass: https://selbst-management.biz/selbstmanagement-rocks-masterclass/ - Mein LinkedIn Profil: https://www.linkedin.com/in/thomasmangold/

In a realm cursed to lie under a gray veil, one man accepts a job patrolling a neighborhood to watch for unauthorized breaches. Genre: Fantasy   Excerpt:He had given up on his childhood fantasy when he realized that people had already found ways to break the curse, and had tried those ways and failed. He had given up when he learned that some of the ways had never been tried and never would be, because the cost was too high. And over the generations, more and more people believed that the gray veil was a blessing, not a curse. A protection, not an oppression.   The Wheel of Fiction Turns. What did it land on this time?Each Season 9 story follows a theme chosen by the Wheel of Fiction. Thirteen spokes. Eight are the themes from previous seasons. One is "Turn Again." One is a wild card. And three are covered in question marks and will be revealed when the wheel lands on them. See a story trailer and a (satisfying) video of the wheel turning here: Through a Sky Gray This episode landed on PROMPTS. I wrote the story based on a writing prompt. Find more stories and episodes where a prompt inspired the story here: Year of Prompts.     MERCH!Interested in merch, like mugs and notebooks, featuring my artwork?Please visit my Store page for info on where you can buy: STORYFEATHER STORE   The Store page also has sign-up forms for my two email newsletters: Storyfeather Gazette (if you'd like to keep up with the fiction I create) Fictioneer's Field Guide (if you'd like writing tips and guidance from me)  Choose what you want. (Either way, you're choosing high jinks.)   MY FIRST BOOK (yay)Ever wonder how I've gotten all these hundreds of stories written? I have a method. You can learn it in my book called Fictioneer's Field Guide: A Game Plan for Writing Short Stories. It's now available from Amazon as an eBook, paperback, and hardcover. You can also get there from my Store page: STORYFEATHER STORE   CREDITSStory: "Through a Sky Gray" Copyright © 2022 by Nila L. PatelNarration, Episode Art, Editing, and Production: Nila L. Patel   Music:"Infinite land" by NICHOLAS JEUDY (Intro)"Don't move" by NICHOLAS JEUDY (Outro)"Abstract Vision #5" by ANDREW SITKOV (Outro)   Music by NICHOLAS JEUDY (Dark Fantasy Studio)"A story of gold""A band in the inn""Written in stones""The village near the lake""On the way""White river""Don't move""Back in the village""Fallen leaves""Signs of desolation""Elders wisdom""Compass""Infinite land"   All tracks are part of a music and sound effects bundles I purchased from Humble Bundle and sourced from GameDev Market.  Music by Nicholas Jeudy and Andrew Sitkov is licensed from GameDev MarketSound effects from AudioJungle, GameDevMarketChanges made to the musical tracks? Just cropping of some to align with my narration.   Find more music by Nicholas Jeudy and Andrew Sitkov at gamedevmarket.net Find more stories by Nila at storyfeather.com   Episode Art Description:Digital painting. Bottom half, a variety of wildflowers and grass. Top half, a solid gray expanse is split at the middle by a bright glowing light at top that streams down and expands to the sides to encompass the wildflowers below. Watermark of "Storyfeather" blends with the grass at left.

Valentine's Day is meant to feel romantic, but for many couples, it brings pressure, disappointment, or silence. In this episode, we share a simple three-conversation framework to help you design Valentine's Day (or any special holiday) with clarity instead of guessing…before, during, and after the day itself. If you're ready to trade dread and over-functioning for intentional connection, this conversation will show you how to create a Valentine's Day that actually brings you closer._______

Gio sees a lot of racing in the middle of the night on his way in. A caller wondered about Eileen Gu, and Boomer called her insufferable.

A council cost cutting decision has resulted in a local attraction. When the Horowhenua District Council stopped mowing residential berms to save money, it made Levin resident Louise McCarthy very grumpy. She refused to cut the grass herself and declined neighbours offers to trim it too, until she decided to transform the berm into an urban meadow full of wildflowers. Louise McCarthy spoke to Lisa Owen.

In dieser Folge zeigt dir Dieter Menyhart sieben konkrete KI-Prompts, mit denen Verkaufsteams in der Schweiz jede Woche bis zu zehn Stunden Zeit sparen. Keine Theorie, kein KI-Bullshit – sondern praxiserprobte Prompts aus echten B2B-Verkaufsteams. Du erfährst: Wie deine Verkäufer die Vorbereitung von 30 auf 5 Minuten senken Wie E-Mails, Einwandbehandlung und CRM-Dokumentation massiv schneller gehen Was dir das pro Verkäufer in Franken bringt – schwarz auf weiss Wenn du Verantwortung für ein Verkaufsteam trägst und mehr Termine, bessere Vorbereitung und höhere Abschlussquoten willst, ist diese Folge Pflicht.

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

AP's Lisa Dwyer reports that objections to Trump's policies on enforcement have caused a wave of prosecutorial resignations in several states, particularly Minnesota.

Remote Work ist mehr als Laptop am Strand.  In dieser Solo-Folge spricht Ann-Katrin über das Konzept vom “geliehenen Leben”, ihre ambivalente Liebe zu Kapstadt, Verantwortung als Unternehmerin und warum gute Absichten nicht automatisch etwas verändern. Außerdem: ein brisanter Musiklizenz-Streit in der Creator Economy und ein neues Baby got Business Projekt.  Worüber gesprochen wird: *Warum fühlt sich Kapstadt mehr nach Zuhause an als jeder andere Ort? *Ist Remote Work wirklich Freiheit – oder nur ein Perspektivwechsel? *Reichen gute Absichten, um wirklich etwas zu verändern? *Wie viel Verantwortung tragen wir als Creator im Ausland? *Was passiert gerade zwischen Christian Wolf und Sony Music? Timecodes: 00:00:00 - 00:03:42 Intro & KI-Crashkurs 00:03:43 - 00:15:05 Remote-Work-Kultur 00:15:06 - 00:21:03 Kapstadt zwischen Zuhause-Gefühl & Realität 00:21:04 - 00:29:13 Engagement vor Ort: Verantwortung & NGO-Arbeit 00:29:14 - 00:35:39 Creator-Drama, Secret Project & Ausblick Werbung: Hier⁠⁠⁠⁠⁠⁠⁠⁠⁠ findet ihr alle aktuellen Supporter unseres Podcasts & aktuelle Rabattcodes. In unserem KI Crash Kurs für Social Media lernst du, KI strategisch und praxisnah für Content einzusetzen – inklusive Tools, Prompts und Workflows für Bild, Video und Text. Jetzt anmelden!  In der Folge erwähnt: Hands And Feet NPC Hier findest du mehr über uns:  Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠TikTok⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Impressum⁠⁠⁠⁠ YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

Gio recalls being an ‘a-hole' on a sixth-grade trip to DC. C-Lo has more from Aaron Judge, Brian Cashman sparking a debate between Evan Roberts and Morash that required McMonigle to weigh in. Dan Hurley is unhappy with empty seats at UConn, Wendy's claims a rebuilding year, and the final Long Island Hooters closes. Finally, the guys discuss Stephen A. Smith's presidential interests, a potential Kevin Burkhardt run, and Al's theory on why Hooters fails locally.

Summary In this conversation, Ali Damron and Kylie Larson explore the intersection of artificial intelligence and health and fitness. They discuss the benefits of AI in nutrition tracking and meal planning, while also addressing its limitations in personal health assessments. The conversation emphasizes the importance of human insight in navigating health decisions, particularly when it comes to mental health and hormonal issues. They reflect on the balance between leveraging technology and maintaining cognitive engagement in health practices. Takeaways AI is widely used for nutrition tracking and meal planning. The effectiveness of AI depends on the quality of prompts given. AI can exhibit biases in its responses, often aligning with user preferences. Human input is crucial for interpreting AI-generated health advice. AI can provide information, but action is necessary for results. Understanding personal health requires more than just data; context matters. Mental health and hormonal issues often intertwine, complicating diagnoses. AI can help organize thoughts but shouldn't replace human creativity. Cognitive engagement is essential for maintaining mental acuity. Health decisions should consider both physical and mental health factors. Sound bites "Prompts are everything with AI." "AI can be biased in its responses." "Are we outsourcing our thinking?" Chapters 00:00 Introduction to AI in Health and Fitness 02:57 AI's Role in Nutrition and Meal Planning 05:57 The Limitations of AI in Personal Health 09:06 Understanding the Human Element in Health Decisions 11:54 Navigating Mental Health and Hormonal Issues   Kylie's Instagram: https://www.instagram.com/thekylielarson/ Ali's Resources:  Consults with Ali  BIOptimizers Magnesium Breakthrough 10% off using code ALIDAMRON10 www.alidamron.com/magnesium Master Your Perimenopause Course + Toolkit "Am I in Perimenopause?" Checklist.  What Hormone is Imbalanced? Quiz! Fullscript (Get 10% off all supplements) "How To Balance Your Hormones For Better Sleep, Mood, Periods and Energy" Free, On Demand Training Website  Ali's Instagram Ali's Facebook Group: Holistic Health with Ali Damron 

I deleted every AI product I'd ever bought. 127 prompts, three courses, a dozen template bundles. All of it, gone. And I haven't missed any of it for a single second.In this episode, I'm pulling apart the assumption that every AI product on the market shares: that you need better prompts, better techniques, or better tools. I'll explain the three specific reasons this "better inputs" approach is a dead end, share what I discovered actually works after spending over $2,000 on products that didn't, and challenge you to do a digital graveyard audit of your own downloads folder.If you've ever bought a prompt library and used it exactly twice before it started collecting digital dust, this one's for you.Plus, a beta update on The AI Content Club: 8 founding member spots remaining.Key Takeaways1. Every AI product shares the same flawed assumption. Prompt libraries, courses, and templates all assume you need better inputs. The real problem is that AI has zero information about who you are.2. A better prompt is just a clearer request to a stranger. No amount of prompting skill compensates for missing context. The stranger still doesn't know your voice, your audience, or your beliefs.3. Prompt libraries teach width, Foundation Documents build depth. 10,000 prompts give you 10,000 ways to get the same mediocre result. Five Foundation Documents give AI everything it needs to write like you.4. Products get consumed. Systems compound. Prompt libraries, courses, and templates are consumable purchases you'll replace. Foundation Documents are assets that increase in value over time.5. The question that changes everything. What if you stopped buying products that assume you're the problem and tried something that actually solves the problem?Quotables From This Episode"I deleted 127 prompts and don't miss any of them. Not even a little.""A better prompt is just a clearer request to a stranger. The stranger still doesn't know you.""Prompt libraries teach width. Foundation Documents build depth.""Products get consumed. Systems compound.""What makes your content remarkable lives inside your head, not inside a prompt template."Resources MentionedJoin The AI Content Club (Beta, 8 spots): https://bossladybloggers.com/ai-content-clubThe AI Content Club: What $97/Month Gets YouWhen You Join→ 5 Custom Foundation Documents ($500 value)→ AI Business Partner Setup ($200 value)→ 90-Day Content Calendar ($150 value)Every Month→ 4 Blog Posts in YOUR voice ($600 value)→ 30 Social Captions ($300 value)→ Email Sequence ($400 value)→ Lead Magnet ($100 value)→ Weekly Office Hours + Prompt Lab ($300 value)Beta Member Bonuses→ Custom Offer Suite Blueprint ($500)→ SEO Keyword Strategy Map ($300)→ Email List Accelerator Kit ($200)→ 30 Branded Pinterest Pin Templates ($150)→ Content Repurposing Playbook ($100)8 founding member spots. $97/month locked in for life.https://bossladybloggers.com/ai-content-clubTakeaways: The experience of deleting unused AI products was both liberating and...

Guest: Patrick K. O'Donnell. A failed Union raid on Richmond carrying orders to kill Jefferson Davis prompts the Confederacy to escalate irregular warfare and political influence operations. As the Confederate Secret Service aids the Copperhead movement, author Herman Melville embeds with Union cavalry to witness the hunt for the elusive John Mosby1880 GAR PICNIC MN

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM  This episode tracks how Manbhawan Prasad and the Word team are evolving Copilot from simple prompt-based help to goal-based “agent mode” that can plan and edit documents directly. You will hear practical, enterprise-focused examples: using SharePoint knowledge as authoritative context, reducing blank-page inertia, mirroring customer language from emails and meeting transcripts, and using AI as an always-on reviewer for structure, clarity, and accuracy. 

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

In this episode of Project Synapse, the hosts discuss how "agentic" AI has rapidly accelerated and become widely distributed, using the explosion of OpenClaw (with claims of ~160,000 instances) as a sign that autonomous agent tools are now in anyone's hands.  Hashtag Trending  would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt They compare the speed and societal impact of current AI progress to COVID-19's early days, arguing the pace may be even more destabilizing. They cover Anthropic's Claude 4.6 and OpenAI's Codex 5.3, including claims that Claude 4.6 helped produce a functional C compiler for about $20,000, and that a Cowork-like tool could be replicated in a day with Codex 5.3 after Claude reportedly took two weeks to build Cowork.  The conversation highlights improved long-context memory performance (needle-in-haystack-style metrics reportedly in the 90% range) and increasingly autonomous behavior such as self-testing, self-correction, and coordinating teams of agents. The hosts then focus on security: MCP (Model Context Protocol) as a widely adopted but "fundamentally insecure" connector requiring broad permissions; the risk of malicious tools/skills and malware in agent ecosystems; and the rise of "shadow AI," where employees or individuals deploy agents without organizational vetting—potentially leaking sensitive data or running up massive token bills.  They discuss incentives that push both humans and models toward fast answers and risky deployment, referencing burnout and an HBR study on rising expectations without proportional hiring. The episode also touches on realism and deepfakes, citing impressive new AI video generation (including a Chinese model "SEEDANCE 2.0" example) and how this erodes trust in what's real.  They conclude with practical advice for organizations—don't just say "no," create safe outlets and governance ("say how")—and briefly discuss wearables/AR, Meta's continued AI efforts (including the Meta AI app and "Vibes"), and the coming integration of AI into always-on devices. Sponsor: Meter, an integrated wired/wireless/cellular networking stack (meter.com/htt). 00:00 Cold Open + Sponsor: Meter Networking Stack 00:18 Welcome to Project Synapse (and immediate chaos) 00:57 'Something Big Is Happening': AI feels like COVID-speed disruption 02:57 OpenClaw goes viral: 160k instances and easy DIY clones 04:03 Claude Code 'Cowork' on Windows… and why it's broken 06:47 Rebuilding Cowork in a day with OpenAI Codex 5.3 08:18 Why Opus 4.6 feels like a step-change: memory, autonomy, agent teams 11:24 Model leapfrogging + the end of 'can AI write code?' debates 14:45 Hallucinations, 'I don't know,' and self-correction in modern models 18:42 Autonomous agents in practice: cron-like loops, tool use, and fallout 21:00 MCP security: powerful connectors, scary permissions, and 500 zero-days 24:33 Shadow AI & skill marketplaces: the app-store malware analogy 32:02 Incentives drive risk: move fast culture, confident wrong answers, burnout 34:16 AI Agents Boost Productivity… and Raise the Bar at Work 35:14 Warnings of a Coming AI-Driven Crash (and Why We're Not Steering Away) 36:28 "I Quit to Write Poetry": Existential Dread & On the Beach Vibes 37:21 Tech Safety Is Reactive: Seatbelts, Crashes, and the AI Double-Edged Sword 39:42 Fast-Moving Threats: Agents Hacking Infrastructure & Security Debt 40:54 From Doom to Adaptation: Using the Same Tools to Survive the Disruption 42:21 Why We're Numb to AI Warnings + The 'Free Energy' Thought Experiment 46:43 AGI Is Already Here? Prompts, Ego, and the 'If It Quacks Like a Duck' Test 48:56 Deepfake Video Leap: Seedance, Perfect Voices, and What's Real Anymore 52:39 Contain the Damage: 'Don't Say No—Say How' and Shadow AI in Companies 54:58 Holodeck on the Horizon: VR + GenAI + Wearables (Meta, Apple, OpenAI/Ive) 59:53 Meta's AI Reality Check: Bots, the Meta AI App, 'Vibes,' and Who's Making Money 01:04:41 Final Wrap + Sponsor Thanks

More than half of U.S. adults are now using AI to manage stress, anxiety, or emotional overwhelm. Among people who already use AI for mental health, nearly half say it's the first place they turn when something feels wrong. So the real question isn't whether AI is good or bad. It's this: Can AI actually support mental health in a meaningful way? Or does it accidentally reinforce the very patterns people are trying to heal? In this episode, I unpack where AI genuinely helps, and where it quietly breaks down when it comes to changing your old patterns. We cover: • Why AI feels supportive — and why that can be misleading • The difference between insight and integration • How systems are trained to mirror and validate • The risk of comfort without accountability • Why real emotional safety includes friction • How self-trust erodes when authority gets outsourced • Practical ways to configure AI so it challenges you instead of agreeing with you Timestamps 00:00 — Is AI your best friend or your emotional echo chamber? 04:12 — The data: how many people are already using AI for mental health 07:35 — Why AI feels so validating 11:20 — Insight vs. integration: what most people miss 16:45 — Comfort without responsibility 21:10 — Real emotional safety includes friction 25:40 — Where self-trust quietly erodes 29:30 — How to configure ChatGPT to reduce sycophancy 33:10 — Prompts for deeper self-awareness 38:05 — When AI becomes a red flag instead of a tool 41:20 — Growth requires integration Understanding yourself is powerful. But growth happens when your nervous system learns something new. In real relationships, under real conditions. Insight can start the process. Integration is moving from self-awareness to changing your behaviors. This is what changes your life. If this episode resonated and you're realizing insight isn't the same as change, that's exactly what The Practice is built for. It's a community focused on integration. Building nervous system capacity, relational skill, and real-time repair. Not just understanding your patterns, but interrupting them. You can learn more and join the waitlist at kimpolinder.com Kim's Instagram: https://www.instagram.com/kp_counseling/ Kim's YouTube: https://www.youtube.com/@engineeringlovepodcast

You're not doing everything yourself because you want to. You're doing it because letting go feels risky.You step in before things fall apart. You tell yourself it's faster if you do it yourself. And somehow, you're still the one carrying it all.This episode builds on Part Two of the Beyond Awareness series.Journal Prompts to Help You Stop Doing Everything YourselfName one task at work you're still doing even though someone else could handle it. Why are you really holding onto this? Not the surface reason. The honest one.Imagine you delegated this and it was done differently than you would do it. What do you believe would happen next? What is the worst-case outcome your mind is trying to prevent?If you weren't the one checking, fixing, or holding everything together, who would you be? What would that mean about your value, your role, or how you're seen?What would you need to believe about yourself, your work, or the people around you to let this go? What permission do you need to give yourself?If something came up while you were writing, that's the point. You didn't need a better system. You found the belief running the pattern.Work with me:Breakthrough Intensive - You already know you should slow down, delegate more, stop overcommitting & be emotionally present. So why can't you? That's what we figure out in 90 minutes + integration call 2 weeks later. Book your BreakthroughExhale: Private Coaching - For women ready to do this work until it sticks and you can't revert back. 4 open spots: Work with meConnect with Sam: Instagram | Facebook

Did you know that when you ask ChatGPT for a product recommendation, ChatGPT can recommend 50+ different brands for the same prompt?In this episode, we break down Rand Fishkin's latest research on the extreme variance in AI search results across ChatGPT, Claude, and Google AI Overviews. His team gathered 600 volunteers, ran nearly 3,000 queries, and the findings are eye-opening. Here are some key insights:LLMs can share 50 different companies for each product related prompt. The chance of getting the exact same list of brands twice is less than 1%.The top 6 brands are mentioned over 80% of the time. So what does this mean for marketers trying to track their GEO (Generative Engine Optimization) performance? Most AI visibility tools give you a misleading snapshot — you ran one prompt, you showed up, and you think you're winning. But run it again and you might not show up at all.We walk through Rand's key charts and takeaways, explain why "rank" is meaningless in AI results (unlike SEO), and show how the top brands in any category still get mentioned consistently 70-90%+ of the time. Then we hop into Traqer.ai to show how our topic-based GEO approach — running multiple prompt variations per topic — gives you a far more accurate and responsible picture of your actual AI visibility.If you're doing GEO or reporting on AI visibility to leadership, this is a must-watch.

00:00 - Being Sick in Public11:08 - Dating App Prompts28:03 - Natalie's Many First Dates38:51 - Mild Social Emergency HotlineThis episode is sponsored by:- Blueland: Get 15% off your first order by going to https://www.Blueland.com/outofthepods - Blissy: Wake up with clearer skin, smoother hair, and cooler sleep. Use code OOTP for an extra 30% off at Https://www.Blissy.com/OOTP  - Marley Spoon: Head to https://www.MarleySpoon.com/offer/outofthepods for 45% off your first order and free delivery- DeleteMe: Get 20% off your DeleteMe plan when you go to https://www.JoinDeleteMe.com/OUTOFTHEPODS and use promo code OUTOFTHEPODS at checkout

The FAA has closed airspace at the El Paso airport for 10 days with no explanation. That's how we and our callers get ideas.

Bienvenidos a un nuevo episodio dedicado a la vanguardia de la Inteligencia Artificial Generativa. Hoy desglosamos "El Arte de la Mayéutica Digital", una guía diseñada para profesionales que buscan ir más allá de la automatización simple. Descubre cómo aplicar el método socrático para obligar a la IA a confrontar contradicciones y pulir conceptos complejos antes de su ejecución. Este enfoque no solo mejora los resultados técnicos, sino que nos devuelve el protagonismo cognitivo en un mundo saturado de algoritmos. Contenido destacado: Anatomía del Prompt Maestro: Identidad, restricción, metodología y evaluación. Uso estratégico: Cómo descomponer problemas en capas subyacentes. Visión de futuro: La IA como espejo de la verdad y herramienta de aprendizaje activo. Escucha este análisis profundo sobre la intersección entre la filosofía clásica y los LLM modernos. #InteligenciaArtificial #Tecnologia #PromptSocratico #FormacionIA #SergioRuiz #Cybersecurity

In the world of Generative AI, natural language has become the new executable. Attackers no longer need complex code to breach your systems, sometimes, asking for a "poem" is enough to steal your passwords .In this episode, Eduardo Garcia (Global Head of Cloud Security Architecture at Check Point) joins Ashish to explain the paradigm shift in AI security. He shares his experience building AI-powered fraud detection systems and why traditional security controls fail against intent-based attacks like prompt injection and data poisoning .We dive deep into the reality of Shadow AI, where employees unknowingly train public models with sensitive corporate data , and the sophisticated world of Deepfakes, where attackers can bypass biometric security using AI-generated images unless you're tracking micro-movements of the eye .Guest Socials - ⁠⁠⁠⁠⁠⁠Eduardo'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 Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠(00:00) Introduction(01:55) Who is Eduardo Garcia? (Check Point)(03:00) Defining Security for GenAI: The Focus on Prompts (05:20) Why Natural Language is the New Executable (08:50) Multilingual Attacks: Bypassing Filters with Mandarin (12:00) Shift Left vs. Shift Right: The 70/30 Rule for AI Security (15:30) The "Poem Hack": Stealing Passwords with Creative Prompts (21:00) Shadow AI: The "HR Spreadsheet" Leak Scenario (25:40) Security vs. Compliance in a Blurring World (28:00) The Conflict: "My Budget Doesn't Include Security" (34:00) The 5 V's of AI Data: Volume, Veracity, Velocity (40:00) Deepfakes & Biometrics: Detecting Micro-Movements (43:40) Fun Questions: Soccer, Family, and Honduran Tacos

Ereli Eran is the Founding Engineer at 7AI, where he's focused on building and scaling the company's agentic AI-driven cybersecurity platform — developing autonomous AI agents that triage alerts, investigate threats, enrich security data, and enable end-to-end automated security operations so human teams can focus on higher-value strategic work.Software Engineering in the Age of Coding Agents: Testing, Evals, and Shipping Safely at Scale // MLOps Podcast #361 with Ereli Eran, Founding Engineer at 7AIJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractA conversation on how AI coding agents are changing the way we build and operate production systems. We explore the practical boundaries between agentic and deterministic code, strategies for shared responsibility across models, engineering teams, and customers, and how to evaluate agent performance at scale. Topics include production quality gates, safety and cost tradeoffs, managing long-tail failures, and deployment patterns that let you ship agents with confidence.// BioEreli Eran is a founding engineer at 7AI, where he builds agentic AI systems for security operations and the production infrastructure that powers them. His work spans the full stack - from designing experiment frameworks for LLM-based alert investigation to architecting secure multi-tenant systems with proper authentication boundaries. Previously, he worked in data science and software engineering roles at Stripe, VMware Carbon Black, and was an early employee of Ravelin and Normalyze.// Related LinksWebsite: https://7ai.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Ereli on LinkedIn: /erelieran/Timestamps:[00:00] Language Sensitivity in Reasoning[00:25] Value of Claude Code[01:54] AI in Security Workflows[06:21] Agentic Systems Failures[12:50] Progressive Disclosure in Voice Agents[16:39] LLM vs Classic ML[19:44] Hybrid Approach to Fraud[25:58] Debugging with User Feedback[33:52] Prompts as Code[42:07] LLM Security Workflow[45:10] Shared Memory in Security[49:11] Common Agent Failure Modes[53:34] Wrap up

If you don't know the right questions to ask the magic genie, the ol adage garbage in garbage out applies. 5 AMAZING prompts to get your business a strong kick in the @ss.   https://dentco.us https://instagram.com/dentcopdr

This is an Audio Edition episode—originally published on YouTube and optimized for audio listening.Spending hours personalizing your resume and STILL not landing interviews? In this video, I share five ChatGPT prompts (plus a bonus prompt!) that will help you craft a better resume than a $500 professional rewrite. You'll see how to use AI tools like ChatGPT to analyze job descriptions, tailor your resume with the right keywords, add measurable outcomes, and condense your experience without losing impact. These proven AI resume prompts will save you time, make your application stand out, and dramatically increase your chances of landing interviews and job offers.

A listener said their life isn't dramatic enough for a story. This episode proves them wrong — with 4 AI prompts you can try today. Every artist has a story. Hopper painted his loneliness. Morandi painted the same bottles for 40 years. Your story doesn't need to be dramatic — it needs to be yours. These 4 prompts use AI to interview you, pull your story out, and save it so every caption, bio, and email already knows who you are. In this episode: Why you can't see your own story (and why that's normal) Real artists with "boring" lives who became legends 4 copy-paste prompts to pull your story out How to save your story as a context file Prompt 1 — The Origin Story Interview: I'm an artist and I need help discovering and articulating my story. I want you to interview me — ask me questions one at a time, wait for my answer, then ask a follow-up that digs deeper. Start with how I got into art. Don't accept surface-level answers — if I say "I've always liked drawing," ask me WHEN and WHERE and WHAT I was drawing and WHY. Keep going until you feel like you have enough material to write a compelling origin story. Then write it for me in first person, in a warm conversational tone — not a formal bio. Something I could read on a podcast or put on my website. Keep it under 300 words. Prompt 2 — The "Why This" Interview: Now I want you to interview me about WHY I create what I create. Ask me about my subject matter, my medium, my style. Dig into why I chose these — was it intentional or did I stumble into it? Is there a personal connection to my subjects? Don't let me get away with "I just like it" — help me find the deeper reason. When you have enough, write a short paragraph (150 words max) I can use when someone asks "Why do you paint/photograph [subject]?" Prompt 3 — The Piece Story: I'm going to describe one specific piece of art I've made. I want you to interview me about it — where I was when I made it, what was happening in my life, what I was feeling, why I chose the composition/colors/subject. Then write me a short story (100-150 words) I could use as the caption or description for this piece. Make it personal and specific — not generic art-speak. Prompt 4 — The Bio Generator: Based on everything we've discussed in this conversation, write my artist bio in three versions: 1. ONE SENTENCE — for social media profiles and quick intros. 2. ONE PARAGRAPH — for show applications, website about page, email signatures. 3. FULL PAGE — for press kits, gallery submissions, and detailed about pages. Use a warm, conversational tone. Avoid art-world jargon. Make it sound like ME, not like a museum placard. Resources mentioned: ChatGPT Projects — save your story as context Claude Projects — save your story as context Know an artist who thinks they don't have a story? Send them this episode. Related episodes: The Artwork Didn't Change. The Story Did. (Jan 2026) Context is Still King. If You Use It. (Jan 2026) Steal These Prompts (May 2025)

Kramer was going to try dating apps again, but he immediately failed.

In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa Peleja, presented during the O'Reilly Super Stream on Generative AI. Generative AI, based on large language models, responds to prompts and produces text, ideas, and analysis, but it has no initiative, goals, or independent decision-making. AI Agents, on the other hand, are given a goal and can plan tasks, use tools, interact with systems, and execute actions in sequence, with operational autonomy within defined rules. Finally, Agentic AI involves systems of agents working together, with memory, adaptability, and evolving strategies, raising major challenges around governance, ethics, and accountability. Catch the full episode to learn more!

London Writers' Salon co-founder Matt Trinetti and Head of Writer Experience Lindsey Trout Hughes share prompts from our Dreaming Big in 2026: Creative Goal Setting for Writers workshop – designed to help writers get clear on what they actually want from their writing life in 2026, and translate that desire into a plan that can survive reality in the first 1-3 months of the year.Through 8 steps – from identifying desire to committing to a 48-hour move – Matt and Lindsey step through over a dozen prompts, discuss why each is important for writers to think about, and share what's coming up for them personally for the year ahead.Download the free workbook: community.londonwriterssalon.com/dreamingbigTimestamps:(00:00) Introduction(02:07) Step 0: Two Words (bringing in & leaving behind)(08:05) Step 1: Identifying what we truly desire(17:42) Step 2: Vision (translating desire into clear vision)(25:18) Step 3: Moving from wanting to deciding(34:35) Step 4: Building a project bank(42:02) Step 5: Finding a first season focus(47:32) Step 6: Designing your creative practice(59:00) Step 7: Your 30-day plan & 48-hour move(01:04:50) Step 8: Opening up to support(01:09:40) Conclusions and next steps You'll learn:A simple “two words” ritual to decide what you're bringing into 2026 (and what you're leaving behind).Prompts to identify what you truly desire, including what you might feel embarrassed to say out loud.How to reframe desire as a helpful signal instead of something “selfish” you should downplay.How to build a project bank so you can choose one focus without feeling like you're abandoning your other ideas.Ways to use simple lists to spark clearer project options.How to choose a first-season focus (a three-month container) so you're not trying to hold the entire year at once.The importance of defining what “done” looks like for the season and setting milestones that make progress visible.How to design a writing practice while planning for obstacles before they derail you.How to set a measurable 30-day goal, choose your first moves, and turn intention into proof.   About London Writers' Salon:London Writers' Salon is a community and membership that helps writers make meaningful progress on their work, stay committed to a writing practice, and find creative friends around the world. Members can build consistency through Writers' Hour, develop craft through interviews and workshops, and connect with a global community of writers.  Resources & Links: Download the free workbook at: community.londonwriterssalon.com/dreamingbigJoin Writers' Hour - daily silent writing sessions: writershour.comAttend live events and workshops – Become a Member: community.londonwriterssalon.com/membership For show notes, transcripts and to attend our live podcasts visit: podcast.londonwriterssalon.com.For free writing sessions, join free Writers' Hours: writershour.com.*FOLLOW LONDON WRITERS' SALONTwitter: twitter.com/​​WritersSalonInstagram: instagram.com/londonwriterssalonFacebook: facebook.com/LondonWritersSalonIf you're enjoying this show, please rate and review this show!

Have you ever been interested in the journey of your potential past lives? I'm joined today by author Michelle Belanger to chat all about exploring past lives and her newest work. As a collection of over 250 open-ended prompts to inspire your past life journey, Past Life Prompts is your personal journal for self-directed memory work. M. Belanger lays out how to ethically and truthfully explore your past lives through deep sensory and emotional triggers on your own schedule while avoiding common pitfalls like cryptamnesia and wish fulfillment.Find the book and Michelle:Past Life Prompts: https://amzn.to/4rbltGaWebsite: michellebelanger.comPatreon: patreon.com/haunted Membership: michellebelanger.com/member

Grizlly Gang:https://www.patreon.com/c/thefrdishow

Geoff, Gavin and Andrew talk about food challenge, Geoff's image problems, lacation cookies, oxygen levels, Smee, egg sandwich, Tron, Jeff Bridges, Crackerjack, the pool is content, Jimmy's Tux, changing the rules, Charlie hangs around, soundtrack vs film, Steven Seagal, corndogs, art prompts, the hidden object, Skechers, a falcon tea towel, paste, games, Behind the Mirror: Inside the World of Big Brother, Mythfits, and recommendations.Check out the Episode 86 art book: https://indd.adobe.com/view/03b368ed-28d4-41a9-bc81-a57ea5062b5d Sponsored by Factor. Thanks Factor! Go to FACTORMEALS.com/REGULATION50OFF and use code REGULATION50OFF to get 50% off your first box plus Free Breakfast for 1 Year. Offer only valid for new Factor customers with code and qualifying auto-renewing subscription purchase. Also sponsored by Shopify. Sign up for a $1/month trial period at shopify.com/regulation Support us directly at https://www.patreon.com/TheRegulationPod Stay up to date, get exclusive supplemental content, and connect with other Regulation Listeners. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on. Follow Omar Khattab on X: https://x.com/lateinteractionFollow Martin Casado on X: https://x.com/martin_casadoCheck out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.