The AI Momentum Podcast™

What we dissect in this episode:- How Claude Code changed the game- Why Amir still pays humans to sell the vision- When the AI makes a choice you may have to live with forever- Why veterans see the "AI Hype" differentlyIf you want to move at Amir's pace, here's exactly what he's using:Claude & Claude Code → The brain and CLIBase44 → The heavy-lifting backend, user management and AI agent hubSubstack → The engine for his Think Big newsletterBoardy → AI networking intern for LinkedInChatGPT & Gemini → The High-level GTM consultantsConnect with him on:LinkedIn → https://www.linkedin.com/in/amirelion/Substack → https://substack.com/@amirelionWebsite → https://amirelion.com/Castifai → https://castifai.com/Tempo Hack → https://app.tempohack.com/Glory Hack → https://gloryhack.com/ Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

If you’ve ever felt the dopamine hit of a working prototype only to realize nobody wants to pay for it, this one is for you.Nicoleta Mocanu is a Systems Engineer. She speaks the language of reliability. But when she entered the AI beauty space, she realized that the excitement of new technology was actually obscuring a massive profit leak: the industry’s $2 billion failure to accurately match makeup, foundation, for melanated skintones.As Nicoleta puts it:The industry works on bad stuff, on old technology, biased technology and it looks totally different.She didn’t just build a better tool; she had to kill her beautiful consumer vision because she realised thatbuilding big was actually a trap.We explore why founders must stop being product-first and start being friction-first.The only way to know is by talking to 500+ people a month, and ask yourself: Are you solving a friction point or are you enamoured with your own implementation? Are you hiding in your IDE?Nicoleta’s pivot is a masterclass in Momentum Protection, the uncomfortable process of killing your beautiful vision to find the one customer who will actually give you money.Find one problem for one customer that is going to go and give you feedback, and give you money.Find Nicoleta on:* LinkedIn: https://www.linkedin.com/in/nicoletamocanu/* ChrysalisX website: https://chrysalisx.ai/* Portfolio: https://nicoletamocanu.io/* GitHub: https://github.com/nmo-genio* Medium: https://blog.nicoletamocanu.io/* YouTube: https://www.youtube.com/@nicoletamocanu2694* Twitter: https://x.com/nmo_genio ; https://x.com/ChrysalisXAI* Instagram: https://www.instagram.com/nicole.chrysalisx/Find the full episode wherever you get your podcast, specifically on ;)* Youtube podcast* Spotify podcast* Apple Podcast* LinkedIn pagePlease follow me on:* LinkedIn: https://www.linkedin.com/in/pavitrast/* Instagram: https://www.instagram.com/pavitrastandon/* Facebook: https://www.facebook.com/pavitra.s.tandonAI Momentum™ is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

Leadership & AI Sentience: The moment I let a machine audit my soul with Daina ByčiūtėDaina reached a crossroad that sounds like the plot of a sci-fi movie: "AI knows me better than some of my friends do, but I'm still terrified of losing the human part of my work.", she said.She realised her AI knew her better than her friends did, she wasn't scared to bare her soul. Most leaders use AI to fix their spreadsheets but Daina used it to fix her blind spots. In this episode, we dive into the friction, and strengths, of using a machine to summarise human souls without losing the very lived experiences that make us human, that makes leadership valuable."I’m happy we’re living now... I don't think [the human connection] is replaceable and I don't want it to be replaced."AI platforms Daina uses:- ChatGPT as her primary teammate for pattern recognition in stakeholder interviews- Gemini, for being marketed as more ethical and is testing for integrated book recommendations- Runway, Rabbit for experimental video and creative explorations- Blinkist for rapid-fire knowledge consumptionConnect with Daina:LinkedIn: Daina ByčiūtėWebsite: thatplace.seFollow the Momentum: Substack | YouTube | LinkedIn page | LinkedIn PavitraListen:Spotify | Apple Podcasts Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

Let me ask you this - do you treat AI as a "feature" to add to your existing builds?Well, Bryan Mills did - the opposite. After hitting a capacity cliff where he couldn't even choose what to have for dinner despite running a successful agency, he ended up taking a step back and wipe the whiteboard clean. This episode is the diagnostic of how he moved from a 40-hour grinder to a 4-hour governor week.The diagnosis will look at 4 corners, the high-friction zones of business. If momentum is leaking, it's within one of these:▶ Marketing: Are you chasing leads or being pulled in?▶ Operations: If your system just a list of tasks for you to double-check all the time?▶ Sales: Is the friction in the pitch, or the follow up?▶ Fulfilment: Are you automating the results, or the mess?The hardened logic we'll dig into:The 27 step leak: Bryan found 25 steps in his onboarding that were purely noise and a lot of chasing. He killed them all.The manual trigger trap: If a human has to always click "start" for the AI to work, it’s not a system; it’s a digital leash that will come undone one day.Bryan’s Ecosystem:The Step Back System - Free workshopYouTube: Bryan Mills - Passive BuddiesInstagram: @BryanMillsOnlineLinkedIn: @BryanMillsThe AI & Automation Stack:GoHighLevel (GHL): The core engine for business logic and built-in AI responses.Make.com: Used for advanced, multi-step "Logic Workflows" where Zapier fails.Lovable.app: The platform Bryan uses to build "Micro-SaaS" dashboards for client clarity.Closebot.ai: Advanced AI for automating high-stakes DM conversations.Google AI Studio: For raw strategic analysis and YouTube keyword mapping.Claude.ai: Bryan’s preferred model for high-nuance copywriting and logic.n8n.io: The "coder’s" alternative to automation mentioned for deep technical builds.Before the path hardens,before the choice is made,stopping decision debt in this high-stakes trade.Enjoy this episode of the AI Momentum Podcast.Follow the momentum:LinkedIn: AI Momentum Podcast | LinkedIn: PavitraST | Spotify | Apple Podcast | Instagram | Facebook | YouTube Podcast Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

For as long as we remember, we've been told that content is kind, and keywords are the currency of the internet. WE've poured billions into a game where rules were written by a Google algorithm that hasn't fundamentally changed since Blackberry was a status symbol.But the game just ended, and we have a new king.In this episode, we talk with Andreas, A mad scientist of the AI Search world, with ChatGPT recognising him as a leader in the US GEO space. With 25 years of digital marketing experience, he don't just predict trends, he build models that define them with Artios.ioA man who essentially looked at the internet in 2019, saw the writing on the wall, and decided to build his own LLM, while most of us were probably arguing about meta-descriptions.We discuss the brutal transition from SEO to GEO - Generative Engine Optimization. Mind you, this isn't just just a technical shift. It's a high stakes trade where your old strategy is actively leaking profit. Know that today, if you are still trying to rank instead of trying to be recommended, you aren't just behind. You are INVISIBLE.Key themes in this episode:► The death of the keyword: Why chasing search volume in 2026 is the strategic equivalent of trying to fix a Tesla with a steam engine► The 2019 signal: How Andreas identified the momentum leak in traditional digital marketing 3yrs before ChatGPT even existed►GEO vs SEO: A deep dive into the world of GEO and why answer engines like Claude and ChatGPT care more about user intent than your backlink profile► The Mad Scientist methodology: Moving beyond the AI Hype to find the human and strategic reality of building an agency that guarantees AI visibility► Profit leaks and decision debt: Identifying the specific choices founders make today that become permanent, expensive constraints by next quarterAI models discussed in the episode:- Join Valley- ChatGPT- ClaudeYou can connect with Andreas at:Artios.ioLinkedIn: Andreas Voniatis ProfileInstagram: @andreas_voniatisThe Book: Data Driven SEO with Python (Springer, 2022)If you use AI in your work processes, I'd love to have a chat. To be a guest on the podcast, book an intro call here.Follow & subscribe The AI Momentum Podcast on: YouTube podcast | Spotify | Apple Podcast | LinkedIn Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

"I used to treat hard work like a badge of honor... it was actually the complete opposite." This episode of the AI Momentum Podcast features Bryan Mills, creator of the Step Back System who shares his journey from being a burnt-out grinder to a business owner working just 4h/week. The conversation centres on the momentum leak that happens when a founder becomes the bottleneck for every decision, leading to what Bryan calls decision death. We will dissect the moment his decision capacity finally broke with a single, simple question -what's for dinner? We aren't talking about AI trends, we're focusing on the surgical removal of the founder from the daily grind. We will Triage: ► The dinner freeze: The psychological signal that your business has outgrown your brain ► Wiping that whiteboard clean: Why you have to destroy your current momentum to save your future self ► Why linear workflows are the silent killers of scale ► How to build an AI content pipeline that doesn't wait for your permission, the 0% input mornings ►The 4 Corners Framework: A 5min diagnostic to identify your profit leaks The toolkits we discussed: - The Step Back System: Free workshop Core automation & logic stack: - Go High Level (GHL) as his primary, all-in-one platform that is used to manage leads, CRM and automated client interactions - Make.com used for advanced, logic based automations that GHL cannot handle internalls - Lovable.dev to build custom micro-SaaS dashboards for himself and clients AI models & specialised systems: - ChatGPT: Used as a foundational AI engline for processing data and generating triggers - Claude: His preferred AI model for high-nuance copywriting and sophisticated logics - Closebot.ai: To automate complex direct conversations Communication & legacy tools:- Slack was his primary source of noise and constant fires that contributed to his burnout - He was a ClickFunnels fanboy before switching to GHL for better automation - Used Zapier before transitioning over to make.com for more complex, non-linear workflows - Active campaigns is a legacy tool he used for email marketing before consolidating his stack - n8n.io was a more technical, coder-friendly alternative to make.com Connect with Bryan on: YouTube: https://www.youtube.com/c/BryanMillsPassiveBuddies Instagram: https://www.instagram.com/bryanmillsonline/  LinkedIn: https://www.linkedin.com/in/bryan-mills-067a2950/ If you use AI in your work processes, I'd love to have a chat. To be a guest on the podcast, book an intro call here. Follow & subscribe on: YouTube podcast | Spotify | Apple Podcast | LinkedIn Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe

Your startup is bleeding, and you're arguing over the colour of the bandages? Most founders are treating their MVPs like a sacred relic, but vibe coded MVPs are not bulletproof. They're just very (very!) expensive, heavy anchors.In this episode of The AI Momentum Podcast™ with Moshe Mikanovsky, we will perform a visceral autopsy on the 2018 wave. Moshe has been in the Product war room for 3.5 decades and while the rest of the world was excited about emojis, Moshe was at a YC backed Legal Tech startup building NLP systems that eventually hit a wall built on decision debt.In-depth diagnostics:▶ The YC ghostHow Moshe saw the first mover advantage turn into a target for industry giants▶ The LMS scamWhy Moshe looked at production-ready softwares and realised it was actually a cage, and why he built his own in 48h instead▶ Late adopter energyWhy 35years experience can make you skeptical of the hype train, and obsessed with the signal.▶ The realityIf your AI just helps you fail at 10x the speed, you don't have a strategy, you have a catastrophe.The modular Triage stacka.k.a, the tools we'll dissect:The Brain: Perplexity for deep research without the fluffThe skeleton: base44 for prototypesThe UI: v0 & Goolge Stitch for rapid generative layoutsThe logic: Claude & ChatGPT to stress-test the product's soulThe community: Skool for flexible traction over rigid LMSConnect with Moshe:LinkedIn: Moshe MikanovskyCourse: Build your MVPThe community: Product Traction Accelerator (Skool)Podcasts:- Products for Good- Product for ProductsAuthor of book: The ResurrectorSign up to newsletter: Product Tips for Startup FoundersConnect with AI Momentum™Your product is bleeding? I find the wound with surgical precision. Let's connect:Substack | YouTube | Spotify | Apple PodcastLinkedIn | Instagram | Facebook Get full access to AI Momentum™ at pavitrastandon.substack.com/subscribe