AI for Business Podcast

Brian Hanson
  • 5.0 (8)
  • Business
  • Updated Weekly

AI for Business is the podcast where founders, creators, and business leaders learn how to actually use AI to grow, scale, and stay competitive. Hosted by Francis Ablola and Brian Hanson co-creators of AI for Business, you'll get behind-the-scenes access to private interviews, expert conversations, and tactical playbooks from industry leaders using AI to drive real results. Whether you're a startup owner, agency leader, content creator, or operator, this show breaks down what's working right now in marketing, operations, product, and growth all powered by AI. New episodes weekly featuring founders, investors, SaaS executives, and creators who are building smarter, faster, and better with AI.

  1. 5d ago

    E60: How to Become an App-preneur With Plain English

    In this live workshop session from the AI for Business event, the speaker who personally built Revven walks the room through how he did it: using an AI app-building platform called Lovable to create real, working software just by describing what he wanted in plain English. He calls the concept becoming an "app-preneur," building and selling custom apps and websites as a business, without needing to code, design, or hire a developer. He makes the case that this is the same kind of shift as the SEO wave of the mid-2000s or the social media wave of the early 2010s: a new, low-barrier skill that rewards whoever moves early. His core advice is to look inward first, build something that solves a real problem inside your own business, because if you have that problem, other people in your industry almost certainly do too. From there, he breaks down the profit models available, from selling templates and building custom apps for clients to ongoing hosting and maintenance fees, before getting into his practical playbook: planning before prompting, building in phases instead of one giant request, and using a dedicated knowledge file so the AI never loses context on the project.   Timeline Summary [0:01] Introducing the topic: becoming an app-preneur and building apps and websites with AI [1:06] A show of hands: who in the room has already started building with AI [1:47] The speaker's own credentials as a top 1% builder on Lovable [2:05] The session agenda: what an app-preneur is, an intro to Lovable, and a live demo [3:29] What an app-preneur is, and how the speaker became one almost by accident [3:50] The internal company need that led to building the app that became Revven [4:41] Coining the term "minimum lovable product" instead of MVP [5:08] Selling templates for the first time, and how fast they sold out [5:49] Why looking inward at your own business's problems beats chasing something shiny and new [7:19] A real internal example: building a tool to pull scattered business numbers into one place [7:55] Comparing this moment to the SEO wave of 2005 and the social media wave of 2010 [9:22] What Lovable actually is: real, ownable code, unlike some competing platforms [10:13] How Lovable has evolved: built-in database, built-in AI, no more copying API keys [11:21] The range of things you can build: landing pages, dashboards, CRMs, chatbots, and more [12:58] Why planning takes up roughly 60% of the time on any given build [13:40] Starting with one problem, one audience, and one app to keep things simple [14:05] Building for a buyer, not just yourself, even when solving your own problem first [14:45] Agent mode versus planning mode, and why knowing the difference matters [15:23] Building in phases instead of one giant prompt, and why long prompts confuse the AI [16:16] Why your knowledge file is the secret weapon behind every consistent build [16:51] The profit models: template sales, done-for-you deployments, hosting, and maintenance fees [18:16] SaaS subscriptions and lead generation tools as additional profit angles [19:32] The playbook gift, prompt build sequences, and auditing before you sell   5 Key Takeaways Solve Your Own Problem First — The best app idea is usually already inside your own business. If something is a headache for you, there's a strong chance everyone else in your industry has the exact same headache, which means a ready market before you've sold a single copy. Plan Before You Prompt — Roughly 60% of a build's time should go into planning, not typing prompts. A weak plan costs more time and money down the line than the extra planning ever would have. Build in Phases, Not One Giant Prompt — Long, everything-at-once prompts confuse the AI and produce worse results. Breaking a build into smaller, sequential steps, sometimes dozens of them, produces a cleaner, more reliable app. A Knowledge File Is Your Secret Weapon — Keeping a dedicated file of everything the AI needs to know about a project means every single prompt pulls from consistent context, instead of the AI forgetting details between requests. There's More Than One Way to Profit — Beyond simply selling an app once, the real money is in template sales, custom done-for-you builds, and ongoing hosting and maintenance fees that turn a single project into recurring monthly revenue.   Links & Resources Lovable — https://lovable.dev ChatGPT — https://chatgpt.com Google Gemini — https://gemini.google.com Claude — https://claude.ai AI for Business Pro / Revven — https://go.aiforbusiness.com/ai4b-pro?_go=d1xyg5    Enjoyed This Episode? If this session got you thinking about a problem in your own business that a custom tool could fix, don't overthink it, just start with one problem, one audience, and one simple app. Share this episode with someone who's been putting off learning this stuff because it sounds too technical, and if it helped, hit subscribe and pass it along to a friend or colleague.

  2. Aug 7

    E59: How to Turn One Idea Into a Business Plan, a Book, and a Newsletter

    In this live workshop session from the AI for Business event, the speaker who built much of the platform gives a full walkthrough of Revven, the all-in-one AI toolset bundled into AI for Business Pro. His framing up front is honest: Revven isn't meant to replace every tool you use; it's there to cut down on the pile of separate subscriptions most members were already paying for. He tours the platform's chat interface, which includes every major frontier model in one place, then digs into the features members most often overlook: Brand Voices and Knowledge Bases for training the AI on a business's specifics, a prompt-building tool that turns a rough one-line request into a fully engineered prompt, and a customer persona generator powered by Claude Opus. From there he demos the content engine, social media posts with auto-generated images, a full ebook generator, a newsletter generator, a photo style-transfer tool, and a video sales letter generator, before handing the stage off to a colleague to cover the Pro program more broadly.   Timeline Summary [0:01] Introducing Revven and being upfront that it's a helpful tool, not a cure-all [1:07] Why the speaker still uses standalone Claude alongside the version built into Revven [2:07] The chat box tour: every major frontier model available in one place [3:33] Building a knowledge base and creating a custom AI personality for each client [4:15] The difference between Brand Voices and Knowledge Bases [5:01] Doing the guided ten-question or eighty-question brand voice interview [6:53] Uploading documents, including Word, txt, CSV, and Excel files, into a knowledge base [8:22] Creating multiple brand voices for different clients or businesses [8:46] The prompt-building tool and why a good prompt is the foundation of every good AI output [10:42] Live demo: turning a one-line prompt into a fully engineered business plan prompt [17:45] The shorter text prompt option, and why XML formatting helps structure a request [18:44] The image and video prompt tools, built in JSON format for cleaner AI output [19:08] Live demo: generating an image prompt for a real estate business [22:00] Generating the actual image using Nano Banana, and why AI image hallucinations happen [24:05] The customer persona generator, demoed live for a chatbot agency business [27:33] Why more specific industry inputs produce sharper, more useful personas [27:54] The social media generator, including auto-created captions and matching images [31:21] The ebook generator, demoed live with a book created minutes before going on stage [32:44] The newsletter generator, which pulls trending industry news automatically [33:23] A recap of the tools covered so far, and handing the session over to Alex [34:05] The photo style-transfer tool, demoed live on the speaker's own headshot [35:06] The video sales letter generator and the music tool powering it [35:45] The presentation tool, logo generator, and job posting and interview question generator [36:22] Additional tools: prompt engineering coach, audio transcription, web scraper, and hook generator   5 Key Takeaways Revven Is a Bonus, Not a Replacement — The tool was built to cut down on the subscriptions members were already paying for separately, not to replace every tool in a business's stack. Use it where it helps and keep using other tools where they work better for you. A Good Prompt Is Still the Foundation — No matter which AI tool you use, a bad prompt produces a bad output. The built-in prompt-building tool exists to turn a rough one-line idea into a fully structured prompt with role, context, and objective already engineered in. Specificity Makes Every Tool Better — Whether it's a customer persona, a business plan, or an image prompt, the more precisely you describe your industry and audience, the sharper and more useful the AI's output becomes. One Platform, Many Content Formats — A single business idea can be spun into a business plan, a customer persona, social posts with images, an ebook, a newsletter, and a video sales letter script, all from tools built into the same platform. AI Image and Video Output Still Needs Iteration — Even strong tools like Nano Banana won't nail every generation on the first try. Regenerating and adjusting prompt length and detail is a normal part of the process, not a sign the tool is broken.   Enjoyed This Episode? If you're a member and you didn't know half of what's built into your account, go log in and just click around Brand Voices, the prompt builder, and the persona generator this week. Share this episode with a fellow member who's been paying for five separate AI subscriptions without realizing most of it is already included, and if it helped, hit subscribe and pass it along to a friend or colleague.

  3. Jul 31

    E58: The Persona Exercise Every AI Business Session Should Start With featuring Alex Ram

    In this live workshop session from the AI for Business event, longtime AI for Business Pro coach Alex walks a room full of members through exactly how to get real, usable output from the program instead of just consuming more education. Alex has been part of the AI for Business team since 2019, and his whole pitch is simple: don't wait until you've finished every module to start doing something, jump in and learn as you go. He splits the session into two live exercises. First, everyone builds a customer avatar using the Pro Customer Persona Generator, entering their industry, price point, product or service, budget, and target market, then generating three personas on the spot. From there, Alex walks through the next natural steps, feeding that persona into a three-year business plan and a 90-day marketing plan, so attendees leave with an actual document instead of just notes. Along the way he shares his own story, retiring in 2014, and later taking up marathon running and mountaineering at a point in his life when he decided to try something new instead of "getting drunk like the previous 20 years."   Timeline Summary [0:01] Alex introduces himself, his 24 hour trip from Romania, and his role in AI for Business since 2019 [1:14] The range of people in the room: business owners, people starting from scratch, and hobbyists [1:34] The three pillars of AI for Business Pro: education, tools, and support [2:23] The core idea of AI for Business Pro in one sentence: using AI to optimize marketing and sales [3:16] A tour of the Pro modules: prompting, business research, productivity, marketing, and mindset [3:45] The one-on-one coaching calls built into the program after modules four, eight, and twelve [4:32] Why the one-year track moves faster than the monthly track through the same material [4:55] How to use the modules selectively if you already have a business with a specific gap [5:21] Why someone with no business yet should go through the entire plan instead [6:41] Matching a service you'll actually enjoy, from funnels to copywriting to chatbots [7:08] The full recipe for starting from an idea: research, content, audience, then a funnel [9:03] Starting every consultation the same way: establishing the audience first [9:53] Live exercise: everyone opens the Pro Customer Persona Generator together [10:19] Filling in industry, price point, and product or service in the tool [11:07] Alex's personal story: turning 40, a first marathon in Amsterdam, and the Seven Volcano Challenge [12:44] Filling in budget, target market, and current customer insights [13:49] Adding geographic focus and generating three personas [14:47] Saving the three personas into a new document to reference later [16:29] What comes next: feeding the persona into a three-year business plan and a 90-day marketing plan   5 Key Takeaways Do the Work, Don't Just Watch — Most people leave educational events passive and walk away with nothing built. Alex's whole session is structured around leaving with an actual document in hand, not just notes. Start With the Audience, Always — Before touching a business plan, a funnel, or content, Alex starts every consultation by establishing the customer persona first. Everything downstream references back to that audience. Match the Service to What You Enjoy — If you're building a business from scratch, pick the module that fits a skill you'll actually enjoy doing for clients, whether that's funnels, copywriting, chatbots, or virtual assistant work, since forcing yourself into one you dislike won't last. You Don't Need to Know Everything First — Alex describes himself as someone who jumps in and learns as he goes. His model is research the market, create content to test interest, then build the funnel only once leads start responding. Feed AI Real Context for Better Results — Generating a customer persona early and reusing it in every future prompt, whether for a business plan or social content, produces noticeably better results than starting from scratch each time.   Links & Resources AI for Business Pro — https://go.aiforbusiness.com/ai-for-business-pro-sales-page ChatGPT — https://chatgpt.com Claude — https://claude.ai   Enjoyed This Episode? If this session made you realize you've been consuming education without building anything, try Alex's approach: open a document right now, sketch out who your customer actually is, and use that one page to guide your next move. Share this episode with someone who's stuck in learning mode and ready to start doing, and if it helped, hit subscribe and pass it along to a friend or colleague.

  4. Jul 24

    E57: Why Marketing to Everyone Reaches No One featuring Jax Core

    In this live workshop session from the AI for Business event, Jax builds directly on the earlier "One Big Domino" talk to answer the next question: who exactly are you talking to? His core warning is blunt. When you market to everyone, you market to no one, and every dollar spent on the wrong audience is a dollar you never get back. He backs it up with a $20,000 Facebook lead ad campaign that chased cheap leads, generated thousands of them, and returned zero. From there he walks the room through a four-step process for using AI to find and validate an ideal audience: feed the AI your positioning statement, build a detailed customer avatar, validate it against what real people are actually searching and saying, and package it all into a one-page audience cheat sheet. He runs it live in Claude using voice dictation, then shows how the same prompt spins up three distinct avatars, each with its own fears, desires, and scroll-stopping hook.   Timeline Summary [0:01] – Why finding your ideal audience is the next step after your positioning statement and one big domino [0:24] – The core truth: when you market to everyone, you market to no one [1:23] – The $20,000 Facebook lead ad story that returned zero [2:26] – Why 80% of businesses fail, starting with not knowing who they talk to [3:02] – The validation tools coming up: Answer the Public, Reddit, and Google autocomplete [3:51] – Why you want the market, not just you, to confirm who your audience is [4:12] – The four steps, from telling AI about your business to a one-page cheat sheet [4:35] – The copywriter who wrote an Oprah Magazine ad as if writing to her own mother [6:23] – Where to find the prompts and slides for the session [6:51] – Feeding your positioning statement into AI as a free marketing consultant [7:41] – Running it live in Claude with WhisperFlow voice dictation [9:40] – Asking AI for direct questions instead of multiple choice, to gut-check the audience [11:14] – Answering the emotional pain points: being left behind, overwhelmed, and unsure where to focus [13:27] – The avatar AI returns: the entrepreneur pioneer who built a business the old fashioned way [14:09] – Demographics versus psychographics, and why the psychographics are the game changer [15:19] – The prompt that generates three distinct avatars with names, fears, and scroll stoppers [16:37] – The three avatars, each with a one-sentence hook, and why one message cannot serve them all   5 Key Takeaways Market to Everyone, Reach No One — A broad message lands with nobody. The tighter you define who you serve, their fears, desires, and exact words, the more your marketing feels like it was written for one specific person. The Wrong Audience Is Pure Waste — Cheap leads are worthless if they are the wrong people. A $20,000 campaign optimized for low cost per lead generated thousands of leads and zero revenue, because the audience and the message were both off. Give AI Your Positioning First — AI cannot find your audience until it understands your business. Feed it your positioning statement, then let it ask clarifying questions, so the avatar it builds is grounded in what you actually do. Psychographics Beat Demographics — Age, gender, and location are useful for targeting, but the fears, values, and frustrations are what let you write something that stops the scroll. That emotional layer is where real understanding lives. Validate, Don't Assume — AI will happily agree with a wrong guess, so confirm your audience against reality. Answer the Public, Reddit, and Google autocomplete show you the actual words real people use when they search for what you offer.   Links & Resources Answer the Public (audience and keyword validation tool) — https://answerthepublic.com Reddit (forums where people discuss every subject, useful for audience research) — https://www.reddit.com Claude (used live to build the audience avatars) — https://claude.ai ChatGPT (alternative for the same prompts) — https://chatgpt.com Gemini (alternative for the same prompts) — https://gemini.google.com WhisperFlow (voice dictation tool the speaker uses to prompt AI) — https://wisprflow.ai The AI for Business community and private Facebook group — https://www.facebook.com/groups/aiforbusinessowners/   Enjoyed This Episode? Before you spend another dollar on ads, do the exercise from this session: write your positioning statement, hand it to Claude or ChatGPT, and let it build out the avatar of the one person you are actually trying to reach. Then go validate it against what real people are searching. Share this episode with someone who is burning budget on the wrong audience, and if it helped, hit subscribe and pass it along to a friend or colleague.

  5. Jul 17

    E56: How Daily Video Makes You Feel Everywhere featuring Jax Core

    In this live workshop session from the AI for Business event, the Jax Core breaks down one of the most powerful ideas in marketing: the "one big domino." Borrowed from Russell Brunson and Alex Hormozi, the concept is simple. Every prospect is holding onto one belief that is blocking the sale, and your job is not to sell your offer, it is to knock down that single belief so every other objection falls with it. Working the room, Jax walks attendees through the two questions that surface their own one big domino, shares his personal domino ("you are one post away") and the daily-video "infinite feed" system it led to, and even hands the audience a ChatGPT and Claude prompt to draft their domino on the spot. It is a fast, hands-on session that sends everyone home with a one-sentence belief statement they can build their marketing around.   Timeline Summary [0:01] – What a "one big domino" is: one belief that, when it falls, everything falls with it [0:25] – Your job is not to sell the offer, it is to knock down one belief [0:53] – The real question in every prospect's mind: can I trust this person with my money [1:52] – Question one: what small action do you want your audience to take [2:49] – Question two: what must they believe in order to take that action [3:04] – The speaker's own domino, you are one post away [3:13] – Being an introvert and choosing video to show up everywhere [4:43] – The domino is not a feature, it is a belief that removes every objection [5:20] – What showing up daily unlocked, from speaking gigs to a law firm inquiry [6:09] – The law firm Zoom story and the power of being seen as everywhere [6:58] – The ChatGPT and Claude prompt to draft your one big domino [8:33] – Crediting Russell Brunson and Alex Hormozi for the one-sentence framing [9:14] – Workshop time: craft your own one big domino at your table [10:15] – Attendees share their dominoes, from real estate to scholarships [12:42] – What is coming tomorrow, turning one idea into 20 posts   5 Key Takeaways Sell the Belief, Not the Offer — Every prospect walks in with skepticism, wondering if they can trust you with their money. Your job is to knock down that one belief, and every other objection falls with it. Find Your Domino With Two Questions — Decide the small action you want your audience to take, then name the single thing they must believe to take it. If they believe that one thing, everything else becomes easier or unnecessary. Small Actions Lead to Larger Ones — You do not need someone to buy off your website. Start with a tiny yes, like booking a discovery call or filling out a form, and let those small wins build toward the bigger commitment. Consistency Creates Omnipresence — The speaker's domino, "you are one post away," turned daily video into the feeling of being everywhere. When a prospect feels like they see you constantly, trust is built before the first conversation. Let AI Draft Your Domino — Feed ChatGPT or Claude your positioning statement, your desired action, and the biggest objection, then ask it to write your one big domino in a single strong, human sentence with three proof points.   Links & Resources Expert Secrets by Russell Brunson (the origin of the One Big Domino concept) — https://marketingsecrets.com Alex Hormozi (credited for the framing of the concept) — https://www.acquisition.com ChatGPT (used live to draft the one big domino) — https://chatgpt.com Claude (used live to draft the one big domino) — https://claude.ai The AI for Business community and private Facebook group (referenced on stage; no public URL was given during the session)   Enjoyed This Episode? If this session made you rethink the way you pitch, try it before your next sales call: write down the one belief your prospect has to accept, then build everything around knocking it down. Share this episode with a business owner who is tired of selling and ready to start attracting, and if you found it useful, hit subscribe and pass it along to a friend or colleague.

  6. Jul 10

    E55: The CORE Framework That Turns AI Curiosity Into Results

    Recorded live at an AI for Business event that has drawn more than 50,000 attendees across its workshops, this opening session lays out the CORE framework the community uses to turn AI curiosity into real business results: Clarity, Objectives, Roadmap, and Execution. The host, an entrepreneur who has worked with founders for two decades, sets the strategic foundation before three days of tactical AI training begin. Rather than jumping straight into tools, this session slows down and works through a series of interactive questions designed to force clarity on what to stop doing, what single focus matters most, and what 2026 should actually look like. If you're an entrepreneur drowning in new AI tools and unsure where to begin, this is the goal-setting reset that comes before the tactics.   Timeline Summary [0:23] – Why the event starts with "finding your core" before any AI tactics, based on attendee survey requests [1:21] – The reason the event was kept small: real connection and knowing how to help each attendee [1:43] – What holds entrepreneurs back: past fears, doubts, and the absence of a clear roadmap [2:31] – Introducing the CORE framework: Clarity, Objectives, Roadmap, and Execution [3:13] – First clarity exercise: look in the rearview mirror and name what you don't want to repeat [4:48] – Celebrating wins and the trap of comparing yourself to peers on social media [5:57] – The AI rabbit hole: chasing every new tool that dropped in the last two weeks [6:40] – The freeing question: what one change, delegated or deleted, would free your time [8:20] – Moving into Objectives: defining the single most impactful focus for the next 12 months [9:07] – "Where your focus goes, your energy flows" and the cost of scattered attention [10:03] – The vivid vision exercise: describing your 2026 business, revenue, and daily life in detail [12:10] – Why we set January resolutions and forget them by March, and the power of accountability [13:22] – Roadmap: "a vision without a plan is just a wish" and thinking in decades, not months [14:15] – The premortem: imagine it's December 2026 and you failed, then name the cause [15:28] – What you'd start today if failure were not an option, and dropping excuses immediately [16:25] – Execution and the revenue growth engine: identifying where revenue actually comes from [17:36] – Setting top three objectives for the three-day event and the single biggest obstacle to each [19:03] – Why hot seats work: an outside perspective sees what you can't from inside the frame [21:16] – Naming your reward, your number one goal, and the one action to commit to [22:03] – Collapsing timeframes: why live events accelerate progress and the closing roadmap challenge   5 Key Takeaways Clarity Comes Before Tools — Chasing every new AI release is a rabbit hole that scatters your energy. Get clear on where your business is going first, then let the tools serve that direction instead of driving it. Pick One Focus and Protect It — If you could accomplish only one thing this year, what would it be? Where your focus goes your energy flows, so naming a single most-impactful priority beats spreading yourself across a dozen ideas. Run a Premortem on Your Year — Imagine it's December 2026 and you failed, then work backward to name the cause. Identifying what would stop you now lets you remove the obstacle before it happens. Success Is Inversely Proportional to Excuses — The level of success you reach is capped by the level of excuses you're willing to accept. Fear of failure is what stops most people from making the call, taking the meeting, or investing in themselves. A Vision Without a Plan Is Just a Wish — Clarity and objectives mean nothing without a roadmap and execution. Put your intentions into a community that will hold you accountable, and you dramatically increase the odds of following through.   Enjoyed This Episode? If the premortem question hit home, imagining you've already failed and working backward to the cause, go back through this session with a pen and actually answer it for your own 2026. Share this one with a fellow entrepreneur who's stuck chasing every new AI tool instead of getting clear on where they're headed. If you found it valuable, subscribe, rate, and pass it along to a friend or colleague.

  7. Jul 3

    E54: The Three Jobs AI Actually Does For Your Business

    This live session, recorded on Day 3 of the AI for Business event, features Jenz breaking down agentic browsers, the next shift in how business owners interface with the internet, using tools like Perplexity Comet and ChatGPT Atlas. Drawing on real testing inside the AI for Business ecosystem, Jen frames the entire opportunity around three simple jobs AI does for a business: generate leads, convert existing leads, and automate the work you don't want to do. The talk explains why the browser itself is becoming the AI layer, why linguistics is now the core skill that outlasts prompt engineering, and how to start experimenting without getting your accounts banned or burning through tokens. If you're a business owner, real estate investor, or operator trying to figure out where agentic AI actually fits into lead generation, research, and daily operations in 2026, this session is a practical starting point.   Timeline Summary [0:01] – Jen introduces agentic browsers as the next phase of AI and why the browser is becoming the interface [1:18] – How AI is moving away from separate apps and coming straight to the browser as your gateway to the internet [2:40] – The three things AI actually helps with in business: generate leads, convert leads, and automate what you hate [3:26] – Why talking to AI in plain English is replacing heavy prompt engineering for speed of adoption [4:44] – Linguistics as the foundational skill that sticks with you, and why articulation beats technical prompting [5:18] – How agentic browsers remember information across websites and your browser history [6:02] – The two forerunner tools right now: Perplexity Comet and ChatGPT Atlas [6:25] – Using a browser to pull leads, emails, and phone numbers without APIs or custom connections [7:47] – How AI collapses hours of research into minutes, and why foundational research skills still multiply results [9:24] – Browsers using your logins to post, reply, and manage outreach like an executive assistant [10:32] – Testing agentic browsers on real workflows inside the company and early success with English-only commands [11:36] – The 2026 shift to scaling operations without adding headcount by multiplying your existing team [13:40] – Jen's core advice to identify your biggest time waster and start playing with free browser trials [19:12] – Q&A opens with a question on Atlas browser security leaks and practicing good data hygiene [21:17] – Whether AI posting to your Facebook gets you flagged as a bot, and testing at a human scale [27:03] – How to avoid Amazon bans on AI-assisted books through voice branding and humanizing text [35:49] – The move from the old AI for Business app to Reven, and how token balances will be handled   5 Key Takeaways AI Does Three Jobs In Business — Every use case Jen teaches ladders up to three outcomes: generating new leads, converting the leads you already have, and automating the tasks you don't want to do so you can focus on revenue. Linguistics Is The Skill That Lasts — As tools shift to plain English commands, the durable skill is articulating clearly what you want done. If you can explain a task so a human could execute it, the browser can now do it too. The Browser Is Becoming The AI Layer — Agentic browsers like Comet and Atlas are pulling AI out of separate apps and into your gateway to the internet, using your logins to research, gather contacts, and post on your behalf. Awareness Is Not An Excuse To Sit Out — Knowing these tools exist means using them, not waiting. Jen's homework is to identify your single biggest time waster and start experimenting with a free browser trial today. Perfection Is The Enemy Of Greatness — Whether going live for the first time or publishing an AI-assisted book, putting yourself out there imperfectly is what builds authenticity and momentum, and people connect with you being real, not polished.   Links & Resources Perplexity Comet (agentic browser) — perplexity.ai  ChatGPT Atlas (agentic browser) — openai.com  Reven (the AI for Business tool replacing the legacy app)  Zapier (automation tool referenced) — zapier.com  Higgsfield (media generation tool referenced) — higgsfield.ai  Gen Spark (agentic AI referenced)   Enjoyed This Episode? If Jen's framing of AI as three simple jobs finally made this feel doable, take the homework seriously and pick the one task eating the most of your week, then go test a free browser trial against it. Share this episode with a business partner or teammate who keeps saying they'll get to AI later, because 2026 is the year agentic systems move from novelty to normal. If you got value from this, hit subscribe, leave a rating, and pass it along to someone who needs the push.

  8. Jun 26

    E53: How One Prompt Can Solve Five Problems featuring Richard Dunn

    Richard Dunn is a sales leader, business consultant, and partner in the AI for Business ecosystem who has spent decades building and training high-performance sales teams across multiple companies. He specializes in sales culture, leadership development, and helping businesses implement AI in a way that actually produces revenue rather than just adding complexity. In this session, Richard shares his honest journey into AI, the overcomplicated detours, the moment of clarity, and the one ChatGPT prompt that solved five major sales problems at once. If your sales team is closing 55% of their pipeline and you don't know why the other 45% is falling out, this episode is the blueprint you've been looking for.   Key Talking Points of the Episode 0:01 – Richard introduces the theme of his talk: augmenting the human edge in sales, with a focus on simplicity as the common thread running through everything AI can do for a business 0:38 – The biggest myth he debunks when consulting companies: AI is not here to replace salespeople. It's here to cut friction and sharpen what they're already doing 2:01 – Richard recounts the origin story: three years ago, Brian Hanson told him AI was going to be a major force, and Richard mostly let it go in one ear and out the other 4:34 – The turning point: Brian calls Richard excited about an AI-generated image of himself in a German army helmet riding a unicorn with a Frappuccino, and Richard still doesn't fully get it 6:58 – How Richard eventually joined the AI for Business team full-time, winding down his third-party sales clients to go all-in on building something bigger together 7:38 – Richard's first mistake: trying to learn everything about AI as fast as possible and ending up with a pile of information and no clarity on what to actually do with it 9:00 – The real problems in his sales company that AI needed to solve: wasted time on unqualified prospects, salespeople talking too much, reps skipping framework steps, and leadership buried in random call reviews 13:08 – How a 5:30 a.m. Zoom call with team member Yens Heitman changed everything. Yens had already built sales analysis prompts that Richard was able to adapt to their specific framework 15:58 – The moment of clarity: they didn't need more tech. They needed visibility into what was actually happening inside their sales calls 16:28 – How the system works: calls are transcribed through their CRM, zapped to ChatGPT, and scored 0 to 100 against their sales framework, measuring close probability, talk ratio, and call summary in real time 18:41 – The 80% rule: anything scoring 80 or higher goes on the pipeline report; anything below goes on a separate list, so reps stay focused on closeable deals 19:59 – Where the real money was hiding: deals scoring 65 to 79% were the gold zone, deals they were leaving on the table every month that one follow-up call could often push over the threshold 21:56 – Before the system, they were closing 55% of their pipeline, meaning 45% fell out every month. The prompt helped them stop the bleed without adding a single new tool 22:16 – Richard's 60/40 talk ratio rule: salespeople should talk no more than 40% of the time. His top reps are at 30% or less, and most salespeople resist this until they see the data 26:00 – The Jeff story: a veteran salesperson who scoffed at the listening-first philosophy, boasted about his 200 rebuttals, and got a very direct lesson in why having 200 rebuttals means you're probably doing sales wrong 31:21 – Richard's core sales philosophy: your job is never to talk someone into something they don't want. It's to listen, identify the pain, and confirm that what you offer actually solves it 34:03 – How simple AI systems expose weak leaders and amplify strong ones, and why sales managers push back the hardest when accountability systems go in 37:30 – The closing framework: simple AI plus fast adoption equals real results, and the implementation roadmap: identify your number one pain point, pilot one tool, train, execute 40:32 – Richard's final message: find the one thing, take action, and don't let the shiny new tools distract you from the problem you actually need to solve today   Key Takeaways Information Is Not Implementation — Richard spent two and a half months learning AI tools and ended up with a pile of information he didn't know what to do with. The shift came when he stopped asking "what can AI do?" and started asking "what problem do I need to solve right now?" One Prompt Can Solve Five Problems — A single ChatGPT prompt built around their existing sales framework replaced hours of random call reviews, gave real-time close probability scores, measured talk ratios, surfaced missed steps, and helped leadership coach with precision instead of guessing. Too Many Rebuttals Is a Red Flag, Not a Flex — If your salespeople need 200 rebuttals, they're generating 200 objections. Objections are a symptom of a salesperson who isn't listening, not qualifying, and not building trust, not evidence that they're skilled closers. The 65 to 79% Zone Is Where the Money Is — Deals already scoring 80% or higher nearly close themselves. The real profit comes from identifying the one or two missing pieces in deals just below that threshold and coaching reps to go back and fill the gap. Weak Leaders Get Exposed, Strong Leaders Get Amplified — When you implement a simple AI system that creates real visibility into what's happening on the sales floor, there's nowhere to hide. That's not a threat. It's the point.     Links & Resources AI for Business Mastery Program https://go.aiforbusiness.com/start

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About

AI for Business is the podcast where founders, creators, and business leaders learn how to actually use AI to grow, scale, and stay competitive. Hosted by Francis Ablola and Brian Hanson co-creators of AI for Business, you'll get behind-the-scenes access to private interviews, expert conversations, and tactical playbooks from industry leaders using AI to drive real results. Whether you're a startup owner, agency leader, content creator, or operator, this show breaks down what's working right now in marketing, operations, product, and growth all powered by AI. New episodes weekly featuring founders, investors, SaaS executives, and creators who are building smarter, faster, and better with AI.

Information

  • Creator
    Brian Hanson
  • Years Active
    2025 - 2026
  • Episodes
    58
  • Rating
    Explicit
  • Copyright
    © 2025
  • Show Website
    AI for Business Podcast