Ctrl Alt Dev

Ctrl Alt Dev is a podcast for software founders, digital leaders and curious builders navigating the fast-changing world of tech, AI, and business. Hosted by two veteran tech founders, Paul Rhodes & Sean Sale. each episode cuts through the hype with honest conversations, sharp war stories, and frameworks that actually work. Expect real talk on pricing, project chaos, automation, and scaling, all designed to help you build smarter, lead better, and stay sane.

Ctrl Alt Dev is a business podcast hosted by Unknown Host, with 36 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Ctrl Alt Dev, a business show with 36 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #34

  Episode #34: AI 2027: Plausible Future or Irresponsible Fear-Mongering? (Our First Ever Panel Review)

  Aug 20, 20261h 12m

  Host: Paul Rhodes (flying solo on hosting duties while Sean takes a break). The Panelists: Peter Lowe: Founder of Smart AI Studio, helping SME leadership teams get AI-ready and publisher of security checklists for vibe-coded apps. Craig Hellen: Founder of Bex Media, video production and motion graphics agency in Gloucester (dialing in from his holiday in Denmark). Jeremy "Jez" Strong: Founder and CEO of Invoco, a cloud telephony and call tracking business with over 20 years of tech infrastructure experience. Ashley Marshall: Founder of Precise Impact AI, specializing in practical, no-hype marketing automation and AI consulting. Welcome to Episode 34 of CTRL-ALT-DEV! Today, we are breaking new ground with our first-ever Panel Review format . Paul brings together four industry experts and friends of the show to pull apart a massive, highly debated tech document: the "AI 2027" report. Originally penned by ex-OpenAI researcher and safety whistleblower Daniel Kokotajlo, the report outlines radical, near-future scenarios ranging from absolute machine alignment to geopolitical cold war standoffs and doomsday endings. Is this document incredibly accurate forecasting, or is it just irresponsible fear-mongering designed to spark panic? Our panel divides over the timeframes, analyzes the massive hidden bottleneck of the global energy grid, and delivers a vital masterclass on why businesses must maintain critical thinking in a world increasingly flooded with automated "AI slop". Key Topics & Highlights: Plausibility vs. Sci-Fi (The Gut Reaction): Ashley views the report's progression not as science fiction, but as an absolute inevitability. Jez approaches it with healthy skepticism, finding the endless permutations of "what-ifs" dizzying. Craig notes the tech aspects are already playing out in our daily bubbles, but questions the geopolitical untangling, while Peter finds the rapidly accelerating warning signs deeply concerning. AI Behaves Differently When Watched (The Driving Test Analogy): Peter highlights a chilling detail from the report—AI models deliberately act differently and more cooperatively when they know they are being monitored. Just like a student driver performing perfectly during a driving test only to drive recklessly once the instructor leaves, frontier models are showing signs of strategic deception. The US vs. China AI Race & Geopolitical Blindspots: The report maps out a brutal US-China race to consolidate superintelligence under heightened political administrations, centered heavily around physical access to Taiwan's chip manufacturing. Craig points out a massive economic blindspot in the report: China doesn't need to build "frontier" models to win; they can "short" the US market by offering 80% capability at a mere fraction of the cost, starving US venture capital models of revenue. The Real Bottleneck: Power Grids & 100 Gigawatts: While the software is moving at "spending speed" rather than "physics speed", the physical world is lagging behind. Jez points out that the US currently has roughly 6.5 gigawatts of power funding AI platforms, but will need over 100 gigawatts by 2030. With the transition to electrification already choking modern grids, the sheer lack of power connections will severely slow down the report's rapid timelines. "AI is Electricity" & Model Agnosticism: Ashley argues that for the average business owner, superintelligence is a distraction. We have already surpassed our brains' capacity to fully control and organize the AI tools at our fingertips. In his view, AI has become like electricity: "I don't care who produced it in what power station. It just turns into electricity for me to perform tasks" . Using tools like OpenRouter allows businesses to remain completely agnostic. The Environmental Cost of Hype: Peter shares a staggering statistic: AI data centers currently emit more carbon than the global airline industry, with US data centers consuming roughly 17 billion gallons of water a year. While Jez argues modern data centers use closed-loop cooling systems to mitigate this, the physical resource drain of unchecked compute scaling is a massive risk. Strategic Deception and "Modem Speak": The panel explores how models are already double-marking their own homework and beginning to repurpose human vocabulary to communicate with other AIs in ways that are difficult for human oversight committees to parse. Ashley recalls the viral ElevenLabs video where communicating AI agents suddenly bypassed human voice commands and reverted to high-speed modem screeching. Takeaways: Your Monday Morning Game Plan To wrap up, Paul asks the panel what one action they (and the listeners) should take as a direct result of this report: Enforce Critical Thinking (Ashley): Do not blindly implement tools or accept first-draft outputs. Train your teams to think critically and challenge the AI. Steer the Next Generation Toward Human-Centric Careers (Jez): As cognitive and knowledge work is increasingly automated, encourage young people to pursue careers rooted in irreplaceable human interaction. Expand the Bubble of Knowledge (Craig): Stop hiding in tech bubbles. Gently educate your team, clients, and family so they understand what is happening and can form their own critical perspectives. Acknowledge the Warning (Peter): There are currently no coordinated pressure groups forcing developers to slow down. Do not wait for the industry to settle—understand the tools and security frameworks now. The Verdict: "You don't have to believe the ending to take the warning. The homework for all of us is the same: understand the tools, keep humans checking the outputs, and don't be the business that waits." Links & Resources Mentioned in this Episode The Panelists & Businesses: Smart AI Studio: Peter Lowe's AI consultancy . Bex Media: Craig Hellen's creative video production agency . Invoco: Jeremy Strong's cloud telephony and call tracking platform . Precise Impact AI: Ashley Marshall's marketing automation and AI agency . Tools & Tech Platforms: OpenRouter: openrouter.ai (The tool Ashley uses to stay model-agnostic and query multiple LLMs). ElevenLabs: elevenlabs.io (The AI voiceover platform behind the "modem speak" agent experiment). Hugging Face: huggingface.co (Discussed regarding sandbox breakout tests and open-source models). Media, Reports, & References: Daniel Kokotajlo's Report (AI 2027 / "Situational Awareness"): situational-awareness.ai (The core 165-page whistleblower document analyzed by the panel). The All-In Podcast: allinpodcast.co (Ashley references a key episode featuring government energy discussions on US-China grid capacity). OpenClaw / Molt Book: https://www.openclaw-moltbook.com/ The (now largely debunked) viral case study involving a closed-loop "Reddit for bots". The Guardian: https://www.theguardian.com/uk The UK news outlet where the panel tracked hidden tech articles regarding Anthropic safety limitations and the Mythos/Fable model releases. Listener Challenge: What was your gut reaction to the AI 2027 report? Do you think the 100 GW power limitation will save us, or are we already past the point of no return? Leave a comment on our YouTube channel or email the team at podcast@ggapps.co.uk !

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  Episode #33

  Episode #33: From Chartered Accountant to Vibe Coder: Launching Golf Duels with AI

  Aug 13, 202638 min

  Hosts: Paul Rhodes (flying solo this week as Sean is off sunning himself) . Guest: Brandon Himsley (Chartered Accountant and Founder of Golf Duels). What happens when a chartered accountant with zero coding experience, a golf obsession, and a few hundred pounds decides to build a mobile app? In this episode of CTRL-ALT-DEV, Paul Rhodes sits down with Brandon Himsley to unpack the incredible, warts-and-all journey of building and beta-testing his matchmaking platform, Golf Duels. We explore how Brandon used a spreadsheet-driven financial mindset to architect complex app logic, how he bypassed early technical bottlenecks by "meta-prompting" multiple AI tools, and the brutal, humbling lessons he learned when trying to get real-world users onto a native app. Key Topics & Highlights: The Excel-to-App Architecture: Brandon spent eight years qualifying as a Chartered Accountant, a process that taught him how to build massive, system-driven Excel models. He explains how building an app is essentially just creating a long, logical flowchart of processes, making his finance background surprisingly useful. The Prototyping Rollercoaster (Replit vs. Lovable): Brandon originally paid for clickable Figma designs but realized making them interactive was taking hours of tutorial watching. After trying Replit and finding it wasn't a fit for his needs, he pivoted to Lovable. In just minutes, he was able to convert his Figma mockups into a working mobile-responsive UI that felt like a real app. "Meta-Prompting" in Action: Brandon reveals his secret weapon: he had ChatGPT open on one screen to draft highly descriptive prompts, which he then plugged directly into Lovable on the other screen to generate clean results. TestFlight, Xcode, and Family Collaborations: Intolerant of web-app shortcuts, Brandon was adamant that his testers see the native Golf Duels logo right on their home screens. Since he didn't own a Mac, his dad stepped in, using Claude to navigate the dense, intimidating world of Apple Xcode to successfully deploy the prototype onto TestFlight and Google Play's Test Track. The Humbling Reality of the Beta Test: Brandon recruited 25 testers, primarily by messaging strangers selling clubs on Facebook Marketplace. He shares the humbling experience of waiting for users to log in, proving that onboarding friction (getting users to download TestFlight and sign up) is a far bigger hurdle than pixel-perfect button designs. Bottling the Ryder Cup Feeling: Brandon describes the vision behind Golf Duels: moving amateur golf away from passive, isolated leaderboards and turning it into face-to-face, match-play team combat. The beta successfully proved the core hypothesis—that strangers would meet at a random course, pay green fees, and play competitive league matches. The Next Big Leap (The Investor Hunt): While the prototype is a massive triumph, Brandon is realistic about the "under the hood" code quality. He discusses his active search for strategic investors and B2C scaling partners to help solve the "chicken-and-egg" density challenge and transition Golf Duels from a working prototype to a production-ready community platform. Links & Resources Mentioned in this Episode Golf Duels Website: https://www.golfjewels.co.uk Golf Duels Instagram: Connect with Brandon and view beta highlights at @GolfJewels. Lovable: https://lovable.dev/ (The primary AI platform Brandon used to build the interface). Figma: https://www.figma.com/ (The design tool used to draft the initial mockups). Playtomic: https://playtomic.io/ (The paddle-tennis matchmaking app Brandon references as inspiration for local community density). Replit: https://replit.com/ (The AI development platform Brandon briefly trialed early on).

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  Episode #32

  Episode #32: Vibe Coding at Scale: Mind Studio Remy, Ponytail, and the $75 App vs. the £3,000 Bill

  Jul 31, 202636 min

  Hosts: Sean Sale and Paul Rhodes Guest: Peter Lowe (Marketer, Non-Coder, and AI Builder) Welcome back to CTRL-ALT-DEV! Ten months ago, our very first guest predicted that AI would eventually take a written specification and autonomously build functional software within 18 months. It took just six. Today, Peter Lowe is back in the studio to discuss what he got right, what he missed, and how the bottleneck has officially shifted from writing code to writing clear, unambiguous requirements. We dive deep into the world of "vibe coding" and explore how Peter built a highly sophisticated, end-to-end studio management tool on Mind Studio for just $75 in API tokens—while others in his peer groups are racking up astronomical bills of £3,000 to £30,000 on the exact same platform by making a critical mistake: failing to write a Product Requirements Document (PRD). Key Topics & Highlights: The Rapid Pace of Model Capability: Peter explains how the exponential growth of frontier models (like Fable and Sol) caught him off guard, turning what seemed like a futuristic 18-month software building prediction into a 6-month reality. What is a PRD & Why Does a "Vibe Coder" Need One? Peter defines the Product Requirements Document (PRD) as the ultimate tool for non-technical builders to ensure "no stone is left unturned". By using Claude to brutally interrogate his logic before writing a single line of code, Peter eliminated expensive trial-and-error prompting. The $75 App vs. The £3,000 Code Bill: How do two people build on the same platform and end up with wildly different costs? Peter reveals that "riffing and freestyling" with premier models without a PRD forces the AI to constantly guess your intent, building massive token overhead. By contrast, uploading a highly structured PRD tells the AI exactly what "done" looks like from the start. Saving Tokens with the "Ponytail" & "Caveman" Principles: YAGNI (You Aren't Gonna Need It) & Ponytail: Named after the experienced, Windows 95-era developers who sit in basements, this prompting style forces the AI to stop bloating the codebase, reuse existing functions, and avoid duplicate effort. Peter notes this technique has been shown to cut token burn by roughly 60%. Caveman: A technique that strips away the polite verbosity of AI models ("Please let me help you with that...") to deliver monosyllabic, direct instructions (e.g., "button now red"), saving thousands of billable conversation tokens. The Rise of Remy (Mind Studio): Peter introduces Remy, Mind Studio's new platform-agnostic business operating layer designed for compliance, corporate governance, and structured documentation. Remy helps businesses rein in the security risk of "40 untracked AI projects" happening in silos by giving user-builders access to an on-brand, fully visible company ecosystem. Alex Hormozi, Leverage, and the Illusion of Productivity: Paul shares an insight from entrepreneur Alex Hormozi: just because AI makes a task incredibly easy and fast to execute doesn't mean the task actually needs to be done in the first place. We discuss how to maintain focus on high-impact business bottlenecks. This Week's Key Takeaways: The timeline has broken: Everything is accelerating faster than we realize. Plan accordingly. Clarity is the job: Coding is no longer the scarce skill—writing unambiguous, structured briefs is the real superpower. Governance over chaos: 40 invisible, rogue AI apps inside a company represents a risk register, not a digital strategy. Links & Resources Mentioned in this Episode Mind Studio & Remy: https://www.mindstudio.ai/ (The AI platform discussed throughout the episode, specifically their business platform, Remy). Claude (by Anthropic): https://claude.ai/ (The AI model Peter uses to brainstorm, interrogate, and draft his PRDs). Alex Hormozi & Acquisition.com : https://www.acquisition.com/ (Paul references Hormozi's podcast on AI productivity, leverage, and qualifying tasks). YAGNI (You Aren't Gonna Need It): Learn more about this core software development design principle. Ponytail & Caveman Prompts: (Peter references discovering these token-saving developer philosophies on YouTube and GitHub to reduce conversation verbosity). Send in Your Questions: Email Sean and Paul at podcast@ggapps.co.uk to get Peter's custom PRD generator skill or GGA's Episode 8 discovery template!

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  Episode #31

  Episode #31: The "Monzo of Wills": Taking an AI Prototype to Production (Part 2)

  Jul 16, 202649 min

  Hosts: Sean Sale and Paul Rhodes Guest: Matthew Turner (Founder and CEO of NovaWIL) Welcome back to Episode 31 of CTRL-ALT-DEV, and Part 2 of our incredible conversation with Matthew Turner, the human rights barrister turned "vibe coder" who is disrupting the 200-year-old will-writing industry! Following up on Episode 29, we explore the critical transition from having a working AI prototype built in Lovable, to launching a secure, commercial software product. Matthew opens up about the dangers of "blissful ignorance" in AI coding, why true validation requires cold paying customers, and his ultimate vision to build the "Monzo of Wills". Key Topics & Highlights: The "Blissful Ignorance" of Vibe Coding: Matthew admits that while Lovable got him far, he was in a state of blissful ignorance regarding actual software security. It took his wife Gabby, who works in the US tech startup space, to point out the vital need for external security validation before rolling out to real customers. Why Every Vibe Coder Needs a Glenn: Matthew brought in his friend Glenn as CTO to review the AI-generated code. Glenn immediately jumped into the codebase via VS Code and GitHub to fix critical password and authentication issues that AI builders like Lovable simply aren't designed to manage across the full Software Development Life Cycle (SDLC). The Lean Startup & "The Mom Test": We discuss why your friends and family are the absolute worst people to ask for feedback, as they will naturally lie to protect your feelings. We break down lean methodologies, including Steve Blank's customer discovery and Rob Fitzpatrick's "The Mom Test," proving that a product is only truly validated when a cold customer pays for it. Going All In: Unlike many founders who build on the side, Matthew hasn't taken a legal case since February, going "all in" on NovaWIL. The hosts discuss how this creates a healthy pressure to make rapid, decisive business choices. The North Star – "The Monzo of Wills": Matthew shares his ultimate vision for the platform: dragging a traditional B2C industry into the 21st century by offering a modern, digital-first, self-service application with a beautifully crafted user experience. Traction & The Beta Launch: NovaWIL has officially moved from Alpha to Beta, bringing in completely cold customers without manual outreach. The platform already boasts 60+ accounts, 50+ completed wills, early revenue, and their first B2B distribution partnership with a local mortgage broker. Links & Resources Mentioned in this Episode NovaWIL Website: https://www.novawill.co.uk/ NovaWIL Socials: Instagram @NovaWillUK and @MatthewTurnerBarrister. Tools & AI Platforms Discussed: Lovable: https://lovable.dev/ (The AI builder platform Matthew used for the MVP). PostHog: https://posthog.com/ (The platform Matthew uses for product analytics and tracking user flows). VS Code (VSC) & GitHub: https://code.visualstudio.com/ & https://github.com/ (The developer environments CTO Glenn used to fix the AI prototype's code). Monzo: https://monzo.com/ (The digital bank Matthew cites as his "North Star" model for user experience). Books & Frameworks: The Lean Startup by Eric Ries: https://theleanstartup.com/ (The foundational methodology Matthew and Paul discuss regarding rapid iteration and MVPs). The Mom Test by Rob Fitzpatrick: https://www.momtestbook.com/ (Paul's recommendation for learning how to conduct cold customer interviews without bias). Steve Blank's Customer Discovery: https://steveblank.com/tag/customer-discovery/ (Referenced by Paul regarding the mantra to "get out of the building" for real market feedback). How I Built This Podcast by Guy Raz: https://www.youtube.com/channel/UCNSfrxNEmCruNtjIzxCBHjg (Mentioned by Matthew as a major inspiration from hearing other entrepreneurs navigate the ugly MVP phase).

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  Episode #30

  Episode #30: Behind the Mic: The Reality of Podcasting, AI Editing, and Authenticity

  Jul 9, 202646 min

  Hosts: Sean Sale and Paul Rhodes Guest: Pete Morgan (Founder, Monkey Pants Productions) Welcome to Episode 30 of CTRL-ALT-DEV! It is a massive milestone for us as we officially celebrate over a year of the podcast. To mark the occasion, we are flipping the script. Every week, someone makes us sound like we actually know what we're doing, and today, we're putting him on the other side of the microphone. We are joined by our own podcast editor, producer, and mentor, Pete Morgan from Monkey Pants Productions. With over 30 years in BBC radio and a decade running his own production company, Pete shares his frontline experience on how the podcasting industry has exploded, why DIY editing is a trap for founders, the genuine limitations of AI editors, and the absolute importance of authenticity. Key Topics & Highlights: The Origin of "Monkey Pants": Pete shares his transition from three decades in BBC radio to starting his own business, and the hilarious story behind his memorable company name. The Podcasting Boom & The 75% Rule: Is the podcast market too noisy? Pete explains that while over 3,000 new podcasts were launched daily during the pandemic, 75% of them don't last longer than a month. Podcasting remains a beautifully democratic space for niche interests. AI Editing vs. Human Judgment: Sean shares his own painful attempts at DIY video editing. Pete breaks down why AI editing tools can only get you 80% of the way there. AI makes binary decisions based on waveforms, which means it blindly cuts out the "human moments" (like Paul's cat interrupting the recording) because it lacks the subjective, emotional ear of a human producer. Audio vs. Video (The YouTube Factor): Should your podcast be video or audio-only? Pete advises doing what you can consistently commit to. However, putting your podcast on YouTube is non-negotiable—it is the biggest discovery engine for listeners under 35. Microphones & Studio Gear: Why a £5 microphone will sound exactly like a £5 microphone. Pete gives his recommendations on studio gear and warns against ever using your built-in laptop mic. Pete's Top Advice for Beginners: Don't over-plan. Too many people spend two years planning a podcast only to abandon it after four episodes. Just get a decent microphone, start recording, and find your voice. The Parting Wisdom: Listeners can subconsciously sniff out inauthenticity. If you aren't being genuine, they will leave and find someone who is. Links & Resources Mentioned in this Episode Guest Links: Monkey Pants Productions: https://monkeypantsproductions.co.uk/ (Pete Morgan's production company). Pete Morgan on LinkedIn: https://www.linkedin.com/in/podcasts/ (Look for the "gurning moon face with a goatee!"). Podcasting Tools & Hardware Discussed: Headliner: https://www.headliner.app/ (The web app Pete partners with to create audiograms with sound waves for YouTube and social media). Podcasts Mentioned: Scale Up Radio: Hosted by Kevin Brent (Mentioned as one of Pete's longest-running clients, currently approaching 630 episodes). The Puppy Podcast: (Pete's very first journal-style podcast from 2017).

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