The Prompt

“Ads are coming to ChatGPT” — and on Jim’s show, that lands as more than a product update. It’s a trust shift.In this episode, Jim Carter breaks down what OpenAI is actually testing, who will see the ads, and why this move matters far beyond a little sponsored box at the bottom of a reply. Right now, the tests are limited to logged-in adults on the free tier and the ChatGPT Go plan, with ads clearly labeled “Sponsored.” OpenAI says the ads won’t change the model’s answers. Jim doesn’t just repeat that line though — he pushes into the real question: what happens when an AI assistant no longer works only for the user?Jim walks through the business logic first. OpenAI makes huge revenue, but the cost of building and running these models is still massive. Ads, in his view, are not a random side experiment. They’re a serious attempt to keep free access alive while building a more durable business.He then makes the key distinction: this is not search advertising all over again. ChatGPT is conversational, and conversation reveals intent. When someone asks for the best CRM, headphones, or project management tool, they’re not casually browsing. They’re close to a decision. That makes AI ads potentially more powerful, more profitable, and more sensitive.For marketers, builders, and business owners, Jim sees opportunity early. New funnels, new ad tools, and new buying behavior are coming fast.This episode is a smart listen for anyone using AI seriously. If this shift affects how people discover, compare, and buy, now is the time to pay attention — and follow Jim for the next update before the market moves again.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

A child’s brain tumor comes back in as many as 30 to 50% of cases after surgery. That’s the gut punch Jim opens with in this episode, and it sets the tone fast.He tells the story of Siqi Chen and his daughter Mira, who was diagnosed with craniopharyngioma, a rare brain tumor in kids that grows in one of the worst possible places, close to the optic nerves and pituitary gland. Jim walks through the brutal reality families face: scans every few months, hard treatment choices, and the constant fear of finding out the tumor is growing again.What makes this episode hit is that it does not stop at the diagnosis. In one weekend, Siqi built MiraViewer, a free open-source MRI tool that helps families compare scans side by side or as overlays. It runs locally on a computer, not in the cloud, which means the data stays private. Jim makes the value of that crystal clear: this is not hospital software trying to do everything. It is a practical tool built for parents staring at brain scans at home and trying to understand what changed.The big takeaway is simple and powerful. AI is not just for productivity hacks and startup demos. In Jim’s telling, it becomes something more human: a way to move faster in a crisis, build useful tools, support research, and make things a little fairer for the next family.“For families tracking tumor growth, that can be the difference between guessing and seeing the change clearly.” And near the end, Jim lands the point: “This work is not just tech talk. It’s personal, and it matters.”If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

You tell it what you need in plain language, and it carries out the steps in the browser.That’s the promise Jim digs into on this episode of The Prompt: Claude’s new Chrome extension that doesn’t just chat with you — it actually does the work. Jim’s angle is simple: most people don’t need another shiny AI toy. They need time back, without adding extra steps or learning some complicated automation setup.He walks through how the extension sits in a side panel, watches what’s on your active tab via screenshots, and then clicks, types, opens tabs, and moves through multi-step workflows based on a plain-English request. Anthropic calls it “computer use,” and the big news is it’s no longer locked behind the $200/month Max plan — it’s now rolling out across paid Claude plans like Pro, Team, and Enterprise.Jim keeps it practical with real browser-heavy examples: pulling daily analytics and writing a team update, cleaning out a messy inbox by grouping newsletters and showing a reviewable bulk-delete list, and catching up CRM logging by matching calendar attendees to contacts and drafting sales activity notes. He also points out the killer habit-builder: show Claude the steps once, then let it repeat on a schedule.Key takeaways listeners can use right away:Start with repeatable, step-by-step tasks with clear “done” states (reports, forms, sorting, testing).Treat security as real: prompt injection exists, and this tool can touch sensitive pages.Use permission modes strategically: “ask before acting” for most workflows, “act without asking” only for trusted sites.If a site has no good API, browser-based automation can still get the job done.If your browser is where your time disappears, this episode is the nudge to reclaim it. Try one annoying task you do every day, teach Claude once, and see what it feels like to get that chunk of time back.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

“No way I’m paying $250 a year for e-signatures I use once every 2–3 months.” That’s the moment Jim turns a plain old renewal email into a weekend build on this episode of The Prompt.He walks through why small businesses keep getting stuck with big-company pricing and bloated tools, then shows how he responded the only way a builder can: he shipped his own alternative.QuickSign Pro starts as a simple idea on an Asana board and turns into a real, usable product—fast—because Jim follows the same playbook he’s been preaching: ship before you understand everything, talk to users every day, and find your first hundred customers by hand.What makes the episode fun is how practical it is. Jim breaks down what QuickSign Pro actually does (and what it intentionally doesn’t). It’s e-signing without the nonsense: clean signing flow, multiple recipients, role-based fields, signing order, mobile-friendly UI, and real-time status tracking. The standout twist is AI contract writing—chat-based drafting with templates (NDAs, independent contractor agreements, service agreements) that you can edit while watching a live preview, then send for signature without bouncing between tools.He also gets specific about the unsexy stuff that matters: auto-detecting signature/date/email fields to kill setup busywork, built-in email notifications via SendGrid/Postmark, and compliance work mapped to ESIGN Act and UETA (consent tracking, audit trails, record storage) so “cheap” doesn’t mean risky.Here’s what lands for listeners:A real frustration can become a real asset if you move fast“Big-company bloat” is optional—especially for small teamsAI isn’t a gimmick when it collapses steps (draft → sign in one flow)Build what customers ask for, not what a checklist tells you to buildTry QuickSign Pro and let Jim know what you think at https://quicksign.pro

“ChatGPT was at 67%. Gemini was at 76%. Grok-3 was at 94%.” Jim Carter doesn’t waste time in this episode of The Prompt: if you’re treating AI answers like verified facts, you’re already in trouble.Jim breaks down what “AI hallucination” really is in plain terms. The model isn’t checking a trusted database or “looking things up” the way people assume. It’s doing supercharged autocomplete—predicting the next word based on patterns from training data—and it can sound confidently right even when it’s completely wrong. From there, he maps the most common hallucination types.Then he lands the real-world stakes. Companies are worried (77% say hallucinations are their top AI concern), and for good reason: in healthcare, law, and finance, one confident-sounding mistake can become real harm. Jim points to a law firm that was fined over $100,000 after submitting AI-written briefs loaded with fake citations.The useful part is the fix-it toolkit. Jim walks through why hallucinations happen (training data gaps, stacked errors in long reasoning chains, and “prompt pressure” that punishes “I don’t know”). And he gives practical ways to reduce risk.Key takeaways listeners can use todayTreat AI like a guesser, not a verifierStop prompts that force fake confidence; allow “I don’t know”Use RAG and require quotes supporting each factual claimCompare answers across tools when accuracy mattersJim also shares two of his own prompts to help listeners reduce AI hallucinations immediately.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

Jim Carter discusses the nonprofit funding bottleneck—specifically, the $300 billion stranded in donor-advised funds largely because traditional nonprofit evaluation is slow and expensive. He highlights his friend Mike, who, after raising billions via Classy, saw both funders and nonprofits frustrated by this process. Mike’s response was to create Altruous, an AI-powered evaluation platform.Altruous automates nonprofit assessment by pulling from diverse data sources—third-party data, nonprofit reports, and validation signals. It emphasizes outcomes, current data, and provides a confidence score for each evaluation. Every AI-generated report is reviewed by human experts who add context and challenge assumptions, ensuring sector-specific nuance is not lost.Jim shares his framework for AI integration, focused on what takes too long, costs too much, or blocks more good work—inspiring a shift from paperwork to impact. He notes Altruous’s approach goes beyond simple metrics, considering quality, depth, and cultural context.The episode illustrates how AI, with human oversight, can democratize access to funding: enabling smaller, less-resourced organizations to compete, and allowing program officers to focus on relationships rather than bureaucracy. Mike’s key insight: adaptation to these technologies is now essential for organizational survival.Jim also touches on future applications, such as AI-powered digital clones for personalized donor engagement, and stresses that this technology doesn’t replace human judgment, but amplifies it—potentially transforming philanthropy’s effectiveness and fairness.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

“Post-it notes won’t scale.” That’s the opening punch in Jim’s latest episode, and honestly, it’s the perfect summary for the chaos most of us feel every time we open ChatGPT or Claude. If you’ve ever found yourself sifting through a jumble of half-baked ideas, code snippets, and forgotten dinner plans in your AI chat history, you’re going to want to tune in. Jim takes us on a walk through the mess—and then shows us the exit.The main focus here? Projects. Not just as folders for your chats, but as persistent, context-rich workspaces that actually remember what matters to you. Jim breaks down how, up until now, every new AI chat is like talking to someone with amnesia. Re-explaining your preferences, re-uploading docs, teaching the same lesson again and again. Projects, he argues, are the fix: set things up once, and your AI becomes an extension of your brain, not just a glorified search bar.He dives into how ChatGPT and Claude approach Projects differently. ChatGPT acts like the operating system for your AI work—connecting voice, image, code, and text, all with slick image generation baked right in. Claude? It’s the heavyweight for long, technical docs, with double the memory and a semantic map that actually understands your uploads.Key takeaways? Don’t treat your AI like a digital junk drawer. Projects are the difference between digital Post-its and a real, scalable system.“Stop treating your AI like a Magic 8-Ball. Start treating it like the powerful workspace it can be.”If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

In this episode of The Prompt, Jim reflects on past AI predictions and how they played out, using his own custom AI to review trends.He notes some highlights: mainly that multimodal AI is now mainstream, with a market projected at $11–$27 billion by 2030–2034 and annual growth near 37%. Personalized AI assistants have evolved into agentic, workflow-orchestrating “AI co-workers.”But some of Jim’s predictions are still unfolding...Regulatory frameworks are maturing but fragmented, with the EU AI Act leading detailed requirements and the US issuing guidance, though a unified global standard remains elusive. Full autonomy in AI medical diagnosis is not yet widespread; most systems still require physician oversight.Looking ahead to 2026, Jim predicts agent stacks embedded in team operations, coordinated tasks, and a 50-70% reduction in human intervention for repetitive work. Search will shift from information gathering to direct action, with AI completing tasks inside apps. Deep, autonomous research will be routine, compressing strategy cycles from months to weeks. Robotics will focus on logistics, retail, and healthcare, tightly integrated with software agents. Plus, expect to see content budgets shift heavily toward promotion as creation becomes cheaper and faster.“These predictions aren't just about technology. They're about how we work, how we build, and how we create value in a world where AI is everywhere. The companies and individuals who win won't be the ones with the best models. They'll be the ones who wire AI into their operations, measure what matters, and build resilient distribution channels.”If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

"Parasocial" is Cambridge Dictionary's 2025 word of the year, updated to include AI relationships. Originally coined by Donald Horton and Richard Wohl to describe one-sided bonds with media figures, it's now central to digital society.Research in 2024-2025 finds AI-powered parasocial bonds reduce loneliness, especially for people with limited social access. These connections are stable and consistent, unlike human relationships, and function as emotional anchors. For teenagers and neurodivergent people, AI chatbots offer a low-risk space to practice social interaction and build confidence.Mentorship is another emerging benefit. Fitness, finance, and productivity influencers (e.g., Mel Robbins) utilize parasocial dynamics to motivate positive change. When creators share struggles, they foster a "parasocial permission structure" that helps others seek real support. AI "digital minds" such as Matthew Hussey's dating bot, Jay Abraham's business advisor, and Lewis Howes' searchable podcast agent, allow users to access expert advice tailored to their needs. These agents are built on real people's thoughts and voices, scaling trust and expertise beyond traditional limits.The core message: AI isn't replacing connection, but scaling it. The distance between follower and friend is vanishing, with AI-enabled presence guiding people from passive engagement to meaningful action and community.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

Greg Isenberg’s philosophy of “building like the clock’s running out” anchors this episode. Jim Carter explains how AI tools and social platforms have removed traditional barriers: coding, design, marketing, and distribution are now accessible to anyone.Jim highlights how TikTok and Instagram Reels currently provide up to 80% organic reach for high-performing content, in contrast to Facebook’s dwindling 5%—a rare, temporary window for rapid audience growth.The core shift isn’t just technical but mental. Greg’s advice—“ship before you understand it”—urges founders to learn by doing, not by over-planning. Isenberg’s focus on “building what you wish existed” pushes founders to strip away ego and ruthlessly prioritize features that drive actual growth.Jim emphasizes that AI products are now measured against headcount, not just software competitors—firms ask if a tool replaces entire teams. This means founders need less capital, can bootstrap longer, and should only pursue venture capital if aiming for massive scale or IPO.Design is positioned as a trust shortcut: clean interfaces directly impact conversions. Founder-led growth—leveraging your personal brand for distribution—is now crucial.“Distribution is the new product.” If no one sees your work, it doesn’t matter how good it is. Jim shares Greg’s framework: go niche, leverage AI for speed, experiment relentlessly, cut what doesn’t work, and study distribution."AI makes it easy to make things; the hard part is making things that matter. build like the world’s ending in a year but your idea has to outlive it" - Greg IsenbergThe risk of moving slow now outweighs the risk of launching imperfect products. The episode is a clear, urgent call to action for founders to seize today’s fleeting advantages.Read the full quote here: https://jimcarter.me/newsletter/build-like-clock-running-out/If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

In this episode, Jim Carter breaks down the seismic shift in SEO due to Google’s AI Overviews.69% of searches now end with no site visit, as Google answers queries directly. When AI summaries are present, 80% of searches result in zero clicks to external sites. This has led to catastrophic losses for publishers: news sites lost 600 million visits per month, with outlets like CNN and Business Insider seeing up to half their search traffic disappear. Educational sites fare worse—Chegg lost 49% of its traffic and 90% of its market value, prompting a lawsuit against Google for “stealing” content.AI Overviews, which launched recently, now appear in over 50% of searches and are projected to reach 84% by 2026. The data shows that even the top-ranked results lose a third of their traffic when these summaries are present. Most affected sectors include news, education, travel, and how-to publishers, with some losing more than 90% of their traffic.Carter warns that we're witnessing a massive transfer of value. “When publishers can’t make money from their content, they stop creating it. When they stop creating it, what exactly will AI have left to summarize?”He urges creators to focus on owned platforms (email, SMS, podcasts, communities), leverage unique human experiences, and shore up structured data. Carter concludes: adapt quickly, as “the biggest shift in web economics since the dawn of search engines” is happening now.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

$300B dollars are sitting idle in Donor Advised Funds—just waiting to be put to good use.On this episode of The Prompt, Jim Carter dives deep into the world of philanthropy and the game-changing role artificial intelligence is beginning to play in getting that money moving.Jim talks about a recent conversation he had with his good friend Mike Spear, the founder of Altruous, that had him rethinking everything he thought he knew about charitable giving and nonprofit evaluation.Mike’s no stranger to the impact space, having helped Classy.org raise billions for causes worldwide, but what really sets this chat apart is how he tackled the age-old problem of “evaluation paralysis.” Turns out, most of that philanthropic money isn’t being spent because evaluating nonprofit programs is slow, expensive, and downright overwhelming. Twenty to forty hours per program, endless paperwork, and missed opportunities.Altruous flips that script using advanced AI—generating in-depth, 25-page program evaluations in mere seconds, not weeks. The way it works is pretty slick: the platform pulls in third-party data, combines it with info from organizations, and uses AI to spit out comprehensive, real-time reports. But the magic isn’t just in automation. Mike and his team are obsessed with keeping humans in the loop. AI does the heavy lifting, while real people add context, ask the hard questions, and make sure cultural sensitivity and nuance aren’t lost in the data.Plus, Jim shares his go-to framework for AI adoption: What takes too long? What costs too much? What good work could you do more of? Apply that lens, and the case for AI in philanthropy is obvious.AI-powered tools like Altruous can supercharge efficiency (think: 30% boost), reduce admin overload, and let more money flow to where it’s needed most. But there are real concerns too—data use, cost, and over-automation. The episode doesn’t shy away from these, but instead, it’s all about thoughtful, human-centered integration.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

“If your doctor were only right a third of the time, would you trust them?”OpenAI’s recent move to block ChatGPT from giving out personalized medical, legal, and financial advice is a seismic shift in how we use AI, and Jim wastes no time diving into what this means for all of us.Jim breaks down the “why” behind this decision, sharing real-world horror stories that make the risks crystal clear. He talks about the man who landed in the ER after following ChatGPT’s advice to substitute table salt with sodium bromide, and mentions botched legal docs and misdiagnoses that have caused real harm. It’s not just about hypothetical dangers; people have already been hurt.But it’s not all doom and gloom. Jim explains how the AI landscape is evolving, with specialized platforms like CounselPro and AlphaSense taking center stage. Instead of generic advice bots, we’re seeing a new breed of AI tools that work hand-in-hand with licensed professionals, keeping compliance and accountability front and center.Listeners get a front-row seat to the market’s rapid adaptation: startups pivoting their APIs, compliance checks being baked in, and a push for transparency and audit trails. Jim doesn’t shy away from the frustrations some users feel, especially those who have barriers to professional services. But he’s clear: “You can’t have AI systems giving medical advice that lands people in the hospital.”What’s the big takeaway? This shift is the start of a smarter, safer era. The future belongs to sector-specific, compliant tools that augment human expertise. And for anyone building or using AI, that’s the real opportunity.Feeling fired up about the future of AI? Jim invites listeners to join his Slack community, Control + Alt + Build, where founders and enthusiasts share strategies and navigate the world of AI together. If you want to stay ahead of the curve, this is where you need to be. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/Don’t miss the conversation — this is the episode that’ll change how you think about AI, forever.

On this episode of The Prompt, Jim Carter shares a special recording with his close friend, Mike Spear, founder of Altrous. They jump into their decade-long friendship, philanthropy, and the evolution of AI and technology. Mike, a pivotal figure in philanthropic tech space who helped Classy.org raise funds for nonprofits before it was acquired by GoFundMe, discusses his new startup and their shared passion for impactful technology. They explore the transformational potential of AI within the social impact sector, sharing stories and insights on simplifying the complex nature of philanthropy. Jim highlights the practical applications of AI to save time, cut costs, and achieve greater output, while ensuring data integrity and cultural sensitivity. This episode underscores the importance of adapting to AI for sustained impact and efficiency in the nonprofit field.Check out Mike's startup at https://www.altruous.org/00:00 Introduction to a Special Episode00:26 Meet Mike Spear: A Decade of Philanthropy03:57 The Pineapple Fund: A Bitcoin Philanthropy Story13:25 Personal Growth and Philanthropy17:53 AI and Its Impact on the Social Sector22:39 Leveraging AI for Nonprofits42:12 Building Digital Clones for Influencers45:22 The Power of AI for Personal and Organizational Use46:49 AI's Role in Streamlining Processes and Reducing Costs48:57 Adapting to AI: A Necessity for Impact Organizations50:28 The Importance of Innovation in Philanthropy54:09 The Journey and Vision Behind Altruist58:53 Leveraging AI for Impact Evaluation01:05:13 The Future of AI in Philanthropy and Personal Projects01:13:11 Personal Reflections and Future Aspirations01:28:47 Final Thoughts and Upcoming Guests

Traditional podcasts are like books – they’re one-way streets. You can’t raise your hand or ask for clarification. When it’s over, it’s over.” That’s the punch Jim throws right out of the gate in this episode of The Prompt, and what follows is a wild ride into the future of learning, mentorship, and human expertise.This week, Jim dives deep into Delphi’s brand-new Library of Minds – a podcast-meets-AI experiment that flips the whole idea of listening on its head. Here’s the twist: every episode drops alongside a Digital Mind of the guest. That means after you’ve heard Keith Rabois drop wisdom on building billion-dollar companies, you can turn around and ask his AI clone your own startup questions. Or, after Stanley Tang unpacks DoorDash’s wild journey, you can actually chat with his Digital Mind about your own operational headaches. It’s not just podcasting, it’s interactive mentorship on demand.Jim unpacks why this matters, anchoring it to the famous “2 Sigma Problem” in education – one-on-one tutoring just works, but it’s never been scalable. Delphi’s tech, powered by adaptive temporal knowledge graphs and state-of-the-art models from Cerebras, aims to smash through that bottleneck by making expert guidance available anytime, anywhere. And this isn’t just parroting what the guest said on air – these Digital Minds are built from each guest’s entire digital footprint.There’s a killer moment when Jim breaks down how this isn’t about replacing real conversations, but making them better. With Digital Minds handling the basics, you show up for actual human interactions sharper, more prepared, and ready to go deeper. This is “conversational media” – a new category somewhere between podcasts, books, and coaching.Anecdotes from Keith Rabois, Stanley Tang, and Roelof Botha drive home how the tech works in practice, while Jim’s excitement is infectious when he points to where this could go next – CEOs onboarding at scale, coaches monetizing expertise 24/7, and anyone being able to access personalized wisdom that used to be locked away behind personal connections.If you’re curious about the future of AI learning, mentorship, or just want to get hands-on with the minds behind some of the world’s most successful companies, this episode’s a must-listen.If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/

Meta and Ray-Ban now dominate seventy-three percent of the global smart glasses market, with two million pairs sold since 2023.That’s the kind of jaw-dropping stat Jim dives into in this week’s episode of The Prompt. He’s not just rattling off numbers; he’s lived with these glasses, tested them, and is here to break down why this partnership is completely changing the wearable tech game.Jim opens with what makes these glasses so different from the clunky first-gen wearables we all remember. Forget about awkward, obvious headsets. The latest Ray-Ban Meta glasses have a 12MP camera, shoot crisp 3K video, and hide a subtle screen you only see when you need it. Oh, and the “Neural Band” lets you control everything with tiny muscle movements—no more yelling at your glasses or poking at your face. This is real sci-fi stuff, but it’s actually on the market right now.He doesn’t shy away from the big questions, either. Yes, the privacy concerns are real—and he’s honest about the need for discussions around data and always-on cameras. But the market is speaking: people are buying, using, and loving these things for everything from livestreaming to real-time translation.Jim’s fascinated by the business angle, too. EssilorLuxottica, the parent behind Ray-Ban, saw smart glasses sales rocket 200% in the first half of 2025. With ten million units planned for next year, it's clear this is a revolution in how we interact with technology and the internet. And, as he points out, Meta’s partnership with a fashion powerhouse like Ray-Ban is the secret sauce that Google Glass never had.Key takeaways? Smart glasses are poised to replace the smartphone as our main digital interface. The social stigma is fading, job opportunities are growing, and there’s a gold rush coming for developers and businesses. As Jim puts it: “Sometimes the best innovation isn’t about creating something new—it’s about making the futuristic feel familiar.”If you’re ready to keep exploring what’s next with AI — not just watching it happen but actually building with it — come hang out in CTRL + ALT + BUILD. It’s where entrepreneurs, creatives, and curious minds are experimenting with real workflows, sharing what’s working, and learning together in real time. You’ll get early access to my experiments, prompts, and behind-the-scenes breakdowns before they hit the feed. Join fellow builders here: https://jimcarter.me/ctrl-alt-build-ai-community/