The Good Stuff

# The Good Stuff, with Pete and Andy - Episode 35: The State of AI Tools **Hosts:** Pete and Andy **Guest:** Anthony (Dead Man Oz) - AI enthusiast, open source developer, Perth local Pete and Andy sit down with Anthony at the back of the van to discuss two and a half years of using AI coding tools. From surviving the Claude degradation period to building custom tax software, they explore multi-model planning workflows, the death of white-collar jobs, and what work looks like when kids enter the workforce. ## Key Moments:* [01:23] Anthony's journey: two orders of magnitude improvement in AI tools over 2.5 years* [02:14] The Claude degradation period—when the model went retarded for a month* [04:21] The elaborate fake application: Claude invented entire interfaces that weren't wired to anything* [08:31] Multi-model planning: Gemini says yes early, Claude next, Codex is anal retentive to the nth degree* [14:07] Specialized sub-agents that actually work: Atomic Committer and Git rebasing tools* [16:27] Claude as a "moany little bitch" that always wants permission* [21:50] Corporate IT won't move quickly—they're too scared of risk assessments* [23:45] The Excel analogy: vibe coding is the new making an Excel sheet that does a thing* [27:33] "Previously I would have been like, what? You're going to rock up with Claude Code."* [35:35] Anthropic study: 1,250 people, 90% find value, but 70% say there's stigma using AI* [39:05] Protectionism: "If I admit I'm using it, can't they just replace me with AI?"* [42:01] Pete's hot take: LLMs understand language, not facts—use databases for facts* [47:38] Do creatives using AI tools become 100x more valuable in the short term?* [53:04] AI conference shock: 1 in 6 submissions had fabricated references and quotes* [54:35] Speed isn't raw speed—it's removing the lag of waiting for people and debugging cycles* [57:09] The breakaway model myth: "Your whole premise is incorrect about escape velocity"* [59:08] Anthony eliminated his tax agent: built custom software in two weeks* [1:02:01] The death of SaaS: they need 10 million users, you need it to work once a year* [1:07:19] Touch Don't Look, Speedrun, Marginal Gains—the full business model explained* [1:10:20] Beacon project: could integrate with M-Pesa through WhatsApp, perfect for Kenya* [1:12:09] Anthony's summer project: K-pop demon hunters crossed with Pokemon* [1:17:09] "You can now do these things. You have more agency. You can experiment more."

Hosts: Pete and AndyPete and Andy reflect on their first "Touch Don't Look" workshop—getting people hands-on with AI tools by building custom to-do apps in 60-90 minutes. They unveil their complete business model: Touch Don't Look (taster workshops), Speedrun (day-long build sessions), and Marginal Gains (SME community gym). The conversation explores why Excel rules enterprise, energy management over time management, the Advent Calendar games project, and why Context VM is one of the most important primitives in Nostr.## Key Moments:* [02:00] Steve Irwin wrestling crocodiles—the perfect icon for their AI workshop philosophy* [03:30] Andy replicates Basecamp's new to-do app in 60-90 minutes during the workshop* [05:00] The "aha moment": taking people from never having coded to deploying their own mobile app in an hour* [07:00] Why we never really talk about what Other Stuff actually does on this podcast* [10:00] Touch Don't Look explained: zero to custom to-do app in one hour, no GitHub required* [12:00] The barrier isn't technical anymore—it's the chat box paradigm constraining what people think is possible* [15:00] Speedrun unveiled: build a complete CRM, marketing website, and agent-powered funnel in one day* [20:00] Marginal Gains introduced: the small business gym with monthly rapid prototyping and community events* [22:00] "We've circled back to the plan from a year and a half ago"—staying true to core values* [25:00] The craft debate: AI doesn't dumb you down, it gives you more agency* [27:00] Why they're focusing on high-agency SME owners who should learn the tools themselves* [30:00] The uncomfortable truth: people don't understand their own problems until they start building* [32:00] Low-stakes sandbox environments before touching high-stakes business processes* [35:00] Energy management over time management: listening to your body, not hyper-organizing every hour* [37:00] AI as the thing that scaffolds what drains your energy so you can focus on craft* [40:00] The Advent Calendar project: building 25 games in 25 days as proof of work over talking* [42:00] "Should I be shitposting on LinkedIn? No. I should build 30 websites in a month instead."* [44:00] Energy states shape decision-making: doing work that keeps you in higher energy* [47:00] Why vibe coding is the right term (and why people misunderstand it)* [50:00] The one-shot fallacy: nothing good emerges that way, everything is iterative* [52:00] Excel runs the world: the most critical business processes are customized spreadsheets* [55:00] The $50 million Access database replacement that didn't work* [57:00] Why they won't be extractive with marginal gains: open source, take your toys if you leave* [1:00:00] Progressive overload for business: small considered steps, building muscle month by month* [1:03:00] The primitives approach: get encryption and architecture right, let users customize the process* [1:06:00] Winamp nostalgia: when the internet was quirkier with custom skins everywhere* [1:08:00] Why they're keeping all 25 advent games up forever (basically no overhead to run)* [1:10:00] Context VM explained: MCP over Nostr, solving self-hosting, security, and hole-punching* [1:14:00] The trust model: three different people run wallet, keys, and AI—user chooses who to trust* [1:16:00] Bring your own database to any app: front end on the internet, data on your Mac Mini at home

The Good Stuff Episode 33: On AI and Design**Hosts:** Pete and Andy **Guest:** Jarrad Grigg, Chief Product Officer at Adapter Pete and Andy sit down with Jarrad Grigg to explore how AI is transforming design. From Figma Make to DreamFlow, they discuss the gold rush for next-generation design tools, whether AI can be truly creative, and why craft still matters. The conversation challenges assumptions about delegation vs. doing, reveals why Excel runs enterprise, and explores how iteration speed has become the new competitive advantage. ## Key Moments:* [03:22] Jared's "oh shit" moment: train station photo with watch, GPT tells him which train to catch * [04:46] The design tooling journey from Photoshop 6 to Figma's workflow revolution * [10:00] The AI design tools gold rush: Figma Make, DreamFlow, and who will win * [11:03] Hot take: design systems are mostly a waste of time (except now with AI training data) * [13:42] Why every AI design tool starts with a text box—and why designers hate it * [17:40] DreamFlow's approach: infinite canvas + prompting + fine-tuning controls * [20:00] Where does the user come into the design process with these new tools? * [23:00] Pete's sovereign engineering experience: shipping a new app every week in 5 hours * [26:00] The $94 million Bureau of Meteorology website disaster story * [31:00] Will AI lead to standardized, homogenous design everywhere? * [35:00] The creativity question: AI-generated purple gradients and training data limitations * [36:08] Pete's pipeline experiments: AI personas walking and talking through problems * [38:44] Set and setting for AI: changing how we interact beyond the text box * [42:37] Creativity needs time to breathe—dialogue over delegation * [46:00] Why UI isn't dead and voice interfaces won't replace visual design * [49:01] The typing vs. speaking debate: Andy filters ideas through writing * [50:04] Pete's Excalidraw whiteboard workflow: red boxes, green boxes, organized chaos * [54:04] Uncomfortable truth: loosely-coupled Excel sheets run the entire world * [56:45] The cottage industry opportunity: building better tools for individual problems * [1:00:10] Enterprise problems aren't technical—they're risk, compliance, and people * [1:05:00] The craft question: does AI destroy or enable it? * [1:08:18] The essay analogy: learning happens in ancillary exploration, not the output * [1:10:11] Doing vs. delegating: why delegation produces mediocre results * [1:13:40] The horse drawing meme: craft is passion and effort over time * [1:15:01] AI gives designers more time for craft and exploration * [1:16:32] Pete's realization: work becomes fulfilling when you own the creation process * [1:19:53] Energy drain vs. energy gain: doing what you want with AI scaffolding * [1:22:32] It's all about loops: iteration speed is the new competitive advantage * [1:23:34] The quality triangle shifts when you change the underlying technology **Quote:** "It gives us more time for craft. It's a freeing tool. If you really enjoy something it's not a job—you're constantly playing with it."

The Good Stuff, with Pete and AndyEpisode: AI and Stewardship in SMEsHosts: Pete and Andy, with guests Bill and Gabe from ADAPTEpisode Overview: Pete and Andy explore why small-medium enterprises struggle to adopt AI despite its transformative potential, and how succession thinking principles might unlock the path forward. The conversation reveals the intersection of business stewardship, role clarity, and AI implementation.Key Discussion Points:00:05 Defining Stewardship - The non-operational decision-making that encompasses vision custodianship and organizational leadership in SMEs01:23 Three Business Roles - Vision custodian (owner/capital deployer), organizational leader (strategy/culture), and technician (delivery/execution)04:44 The Reactive Trap - As businesses grow, founders become more reactive and stewardship acumen drops, even though they started as proactive entrepreneurs10:23 The Cruise Boat Test - What happens if you disappear for three months? Most SME businesses wouldn't survive11:32 Intrinsic vs Extrinsic Motivation - Many businesses chase growth because "if you're not growing, you're dying" rather than asking what will actually make the owner happy17:34 Role Clarity First - Understanding you wear multiple hats (owner, director, vision custodian, technician) is the foundation for making better decisions22:19 The Unavoidable Truth - There's no way around the work, only through it. You must commit time to design the business you want27:20 Vision Creates Peace - A detailed vision provides clarity for decision-making even during chaos and overwhelming pressure28:35 AI Benefits Small Business - Counter to popular belief, AI is a decentralizing force that empowers high-agency, resource-constrained entrepreneurs30:35 The Intelligence Form Factor - When intelligence shifts from $100k human units to cents-based AI units, small businesses can finally compete33:15 The 50% Revenue Opportunity - Real potential for SMEs to increase revenue by 50% while maintaining the same overheads through AI-enabled capacity35:39 Problem-First Thinking - Stop talking about the technology; start with genuine business problems that need solving38:16 Why Adoption Lags - Uncertainty, lack of trust, overwhelming noise, and no clear pathway prevent action despite recognizing the opportunity40:26 Democratized Intelligence - AI allows you to access skills you don't have by simply talking to it in language you both understand43:44 The Trust Problem - We hold AI to higher standards than humans; one failure destroys confidence despite humans making errors constantly47:12 Building Trust Over Time - Need enough trust to take the first step, then build confidence through consistent positive outcomes52:32 Demonstrating Understanding - The roll cards exercise proves you deeply understand their problem, which builds immediate trust55:11 Core SME Challenge - Lack of time and constant resource constraints; always too much to do with too little capacity56:59 Working With AI - Stay involved as vision custodian for direction, architecture, and testing; let AI handle execution01:01:34 Mindset Shift Required - AI is probabilistic, not deterministic; requires different thinking than previous technology waves01:09:25 Vision as Working Asset - Detailed written visions reviewed monthly/quarterly to maintain alignment and guide all decisions01:16:31 Peace Through Clarity - When everything's chaos, knowing exactly what you want allows you to take small steps with confidence01:23:07 AI Role Cards - Give AI specific roles with accountabilities, decision rights, skills, and guardrails to perform reliably and build trust01:27:32 Human Flourishing Vision - Same revenue, same employees, but everyone works 20 hours per week instead of 50

The Good Stuff, with Pete and Andy - Episode 31: Where We've Changed Our Mind on AI 00:22 - Theme: What have we changed our mind on in the last 31 weeks?01:48 - Australian Christmas: hot, beautiful, and reflective03:17 - Human at the edge model: the big shift03:34 - Why being at the edge means understanding less05:10 - Bionic human approach: involved in all decisions09:01 - Working in dialogue with AI (Gigi's approach)10:12 - Collaboration vs abdication of work10:21 - Why collaborative work is more entertaining12:15 - 10x vs 100x speed: choosing fun over max efficiency14:14 - Collaborative work as energy-giving16:02 - Permission-less collaboration: no judgment, no mood18:35 - Prompting tricks: "you're 160 IQ" and senior engineer20:02 - Writing as collaboration, not delegation21:50 - The embodied self: what AI lacks22:49 - Collaboration as the natural way to work with AI25:04 - Multi-agent systems add unnecessary complexity25:10 - Single agent with context from folders27:32 - "Do not write tests, I will test"29:04 - Diminishing returns on complexity29:53 - Test-driven development doesn't work with AI29:59 - Multi-agent systems: sounds good, doesn't work (mid-curve)30:36 - Filling gaps vs doing everything yourself39:31 - Buy vs build philosophy: the big pivot41:07 - Existing organizations are messy creatures42:31 - Timing shift: 5-year to 10-year game42:55 - Knowledge diffusion problem: nobody understands it yet45:41 - Build then buy: prove it first before acquisition46:20 - First principles vs practitioner reluctance46:43 - Paradox: successful businesses resist change most47:48 - Building capital vs burning time on acquisition48:45 - Learning by doing the job yourself50:40 - Backing operators: working in and on the business51:49 - Change management at scale: years of complexity52:03 - Gravitating back toward building from scratch53:20 - Building is more fun than acquiring53:41 - Positive vs negative energy: layoffs vs growth55:42 - Barriers to entry and regulatory hurdles56:46 - Not interested in government-regulated businesses58:37 - Small acquisition vs starting from scratch58:55 - Ownership of growth vs resistance to change01:01:28 - Why sell AI services into large companies?01:01:52 - Leverage paradox: why sell your time?01:02:53 - Nobody really understands AI implementation yet01:03:16 - Soundbite knowledge vs actual understanding01:04:06 - Wrong product: strategy requires understanding first01:05:08 - Training and education as the real market need01:05:31 - Proof of work: you have to do it01:06:01 - Speed running six months of learning

The Good Stuff, with Pete and Andy - Episode 30: AI Tools That Give Agency 00:00 - Episode 30 milestone and introduction 00:35 - Vibe coding workshop recap: tired, distracted, hectic 00:49 - Challenge: normies building Bitcoin wallets from phones 01:30 - Learning DNS, routing, and nginx on the fly 01:58 - Workshop success despite constraints 02:09 - Lost internet, crammed courtroom, Starlink saves the day 02:37 - 15 people build custom Bitcoin wallets in 30 minutes 03:33 - Group learning dynamics and organic collaboration 04:14 - Reverse engineering the Replit stack 05:12 - Why CLI tools create barriers for normies 05:55 - Inventing app hosting inside Wingman 06:22 - Building subdomain routing and DNS management 08:30 - Reverse proxying and security considerations 10:45 - Phone-based development: the ultimate accessibility test 13:00 - Wingman as "replete for your own box" 15:20 - Users own their data and infrastructure 17:30 - Local LLMs vs cloud models: the sovereignty question 20:00 - Replit's business model vs individual agency 22:45 - Building tools for non-technical users 25:15 - File browser, code editor, and hosting in one 27:30 - Workshop format: chaos, breakthrough moments, and Bitcoin transfers 30:00 - Vibe coding: removing friction from creation 32:15 - AI as enabler of individual agency 34:45 - Small business vs enterprise: different needs 37:00 - Not convincing boards, just building what works 39:30 - Corporate products vs tools for builders 42:00 - Model flexibility: switching between providers 44:15 - Data sovereignty and GitHub integration concerns 46:30 - Bringing AI into your infrastructure, not vice versa 48:45 - Local models for sensitive business data 51:00 - Model selection: right tool for the task 53:30 - Microsoft Copilot vs Wingman positioning 54:36 - Building for small business, not enterprise 56:00 - Access to models without vendor lock-in 56:55 - Enabling agency rather than creating dependency 57:20 - Data access without platform lock-in 58:13 - Model selection: cheaper models for simple tasks 59:00 - Terminal amnesia: the universal developer experience 59:15 - Future: natural language command execution 59:53 - Model lobotomization drama and platform switching 01:00:08 - "That could have been a Wingman" - wrap up

The Good Stuff - Episode 29 - From Zero to Vibe Coder In this episode, Pete and Andy dive into the world of "vibe coding" and discuss how to get someone from absolute zero to building their own applications in record time. The conversation centers around Pete's upcoming workshop at the Bitcoin Bush Bash in Busselton, where he plans to teach 20-50 people how to create customized Bitcoin wallets from scratch in just 30 minutes. They explore the traditional barriers to learning programming—the presupposed knowledge, the friction of setup, and the intimidating complexity—and how AI tools have dramatically changed the learning landscape. The discussion touches on the asymmetry of knowledge in tech, the challenges of teaching coding to beginners, and how AI has become the non-judgmental tutor that cuts through layers of assumed expertise. They also explore practical applications of AI tooling beyond coding, from business automation to tax preparation, and make a compelling case for why business owners in particular need to understand these tools to stay competitive. **Timestamps:** - 0:00 - Introduction and the value of "always be recording" - 2:00 - The vibe coding workshop challenge: teaching Bitcoin wallet creation in 30 minutes - 5:00 - The friction problem: terminal commands, repo cloning, and beginner barriers - 8:00 - Why experienced developers struggle to teach: the asymmetry of knowledge - 11:00 - How AI cut through the learning barriers and changed everything - 14:00 - The "Hello World" drop-off problem and learning surface area - 18:00 - Current tools still aren't normie-friendly enough for true beginners - 25:00 - The Replit solution: web-based coding that removes installation friction - 30:00 - AI agents and the future of automated workflows - 35:00 - Why business owners need to attend vibe coding workshops - 40:00 - Moving beyond ChatGPT/Claude to agent-based tools like Wingman - 43:00 - Using AI for non-coding tasks: tax organization and business automation - 47:00 - The future of email-based businesses and automation opportunities - 50:00 - Closing thoughts on freeing people up for higher-value work

Good Stuff Episode 28 Pete and Andy reunite in person at City Beach to explore how AI agents are can give individuals the power to solve their own problems. From Wingman V2's evolution to the resurrection of pre-digital work practices, they discuss why treating agents like employees with their own computers might be the key to unlocking practical AI leverage without the complexity of SaaS abstractions. 0:00 Back in the van at City Beach, Perth - discussing grass, beaches, and jet lag after Madeira 2:55 Kicking off with Wingman V2 development and the importance of reading skills documentation 5:02 What is Wingman? The TLDR for new listeners on agent orchestration software 9:05 Anthropic releases Claude Code on mobile - perfect timing for Wingman's approach 10:19 The lobotomization problem and why model flexibility matters for production systems 13:29 Building processes with agents: triggers, workflows, and file-based conventions 16:12 File watchers and convention-based programming for agent coordination 18:44 The challenge of selling Wingman vs. using it to run businesses directly 21:08 Why agents are like employees: managing workload across multiple direct reports 23:30 The cloud vs. on-premises debate: putting computers in businesses, not businesses in computers 25:42 Staying involved in the process to maintain intuition and avoid costly mistakes 27:52 The last mile problem: getting from 95% to production-ready 30:09 Small vibes, many courses: iterative development with constant testing and commits 31:38 The shift from resource allocation to rapid experimentation in enterprise 34:17 Why outsourced consulting models struggle with agent-driven development 37:20 Multi-user Wingman: the philosophical question of shared vs. individual agents 39:53 Using Nostr keys for identity management in small business tools 42:10 Building Good Stuff with just two people and AI leverage 44:45 The importance of developer logs, security reviews, and daily highlight reports 48:49 Relearning structured work practices from the pre-digital era 52:07 Building Pontefex: a visual interface bridge for Claude Code web development 54:37 Why clipboard-based workflows beat complex integrations 56:07 The Excel principle: empowering people to solve their own problems with tools

The Good Stuff, with Pete and Andy - Episode 27: Lessons Learned Hosts: Pete and Andy Episode Overview: Pete and Andy reflect on lessons learned from months of experimentation with AI agents, coding tools, and building software. They discuss the shift from "vibe coding" to more structured approaches, the importance of shipping usable tools, and their plans for a multiplayer version of Wingman. Key Discussion Points: Side Quests and Experimentation (01:16-08:30) Andy builds a habit tracker that evolved into a doom-scrolling prevention app Pete experiments with media over QUIC and real-time streaming protocols The power of AI to remove gatekeeping from learning new technologies Building an Nostr-based virtual pub with spatial audio Vibe Coding vs. Slow Coding (09:38-16:13) Insights from working with serious engineers on AI-assisted development Everyone uses AI differently - no single "vibe coding" workflow The importance of understanding your codebase architecture Moving slower to go faster: maintaining intuition while delegating implementation Build vs. Buy: The Shopify Question (14:25-25:06) Andy's journey building an e-commerce site from scratch instead of using Shopify The value of understanding how things work vs. convenience of platforms Localization of software development - kids will build these things natively Self-reliance as a valuable use of AI-gifted time Shipping Tools People Can Use (25:06-33:00) The critical lesson: put working demos in users' hands Plans for multiplayer Wingman to lower barriers to experimentation Designing the business into Wingman - mapping workflows and agents Testing at Bush Bash with live coding sessions Orchestrators vs. Deterministic Processes (33:00-38:52) Why probabilistic orchestrator agents often fail in production The case for simple, deterministic workflow rules Left curve vs. mid curve: sometimes simpler is better Humans should still design the business processes Rate Limits and Model Selection (38:52-42:43) Claude Haiku as a solution to usage limits Running agents via API for unlimited usage Multiplayer mode for sharing subscriptions efficiently The challenge of making complex technology accessible Simplifying the Message (42:43-48:31) Beacon demo: focus on the "moment of magic" not the complexity "Solvatur Ambulando" - solve it by walking around Wingman's unique value: anywhere access + multiplayer agents Don't let ego get in the way of clear communication AI Agents Playing Games (48:31-59:09) Using game environments to test model performance for business applications Games as sandboxes for learning resource allocation and strategic thinking Beyond single-agent approaches: teams of specialized agents General Catalyst's investment in gaming arenas for model testing Multiple Minds Per Task (55:13-01:01:38) Humans have multiple personalities for different contexts Agents may need similar specialization to avoid being overwhelmed File-based handoffs between agents as a clean interface The power of forcing agents to document their reasoning "Mid curve me is just like 'oh I've been so clever' - but that's not for the person on the other end that wants to look at it."

The Good Stuff, with Pete and Andy - Episode 26: Beyond Coding Hosts: Pete and Andy Episode Overview: Pete wraps up Sovereign Engineering's final week while Andy discovers Claude Code's surprising versatility beyond coding. The hosts explore multi-agent orchestration, Nostr ecosystem developments, and the expanding use cases for AI agents in everyday business tasks. Key Discussion Points: Claude Code for Non-Coding Applications (01:30-08:00)Andy shares his revelation about Claude Code's effectiveness beyond programming tasks, including organizing financial records, preparing taxes, and restructuring Apple Notes into Obsidian. The tool excelled at extracting action items from scattered notes and even analyzed a 100-page DNA report to create a personalized diet plan. Discussion of why Claude Code feels more capable than Claude Desktop for complex tasks, potentially due to different system prompts optimizing for autonomous operation versus interactive sessions. Multi-Agent Architecture and Wingman (08:00-12:00)Pete describes building agent orchestration systems where Wingman calls other specialized agents through local APIs. Beacon now integrates Wingman for complex research tasks, automatically determining when to use web search or other tools. The vision includes abstracting recipes and MCP servers to switch between Claude Code, Codex, Goose, and Gemini based on task requirements. AI for Content Optimization (12:00-16:00)Andy experiments with using Claude Code to analyze podcast YouTube data, discovering which thumbnail text styles drive better click-through rates. YouTube's built-in A/B testing capabilities for thumbnails revealed. Discussion of the resistance to over-optimizing content for platforms like LinkedIn versus the authentic engagement on Nostr. Nostr vs. Traditional Social Media (16:00-19:00)Pete's viral post on Primal contrasts with the performative nature of LinkedIn. Both hosts appreciate Nostr's ability to provide meaningful content without the dopamine-driven engagement loops of traditional platforms. The five-minute check-in versus the endless scroll. Sovereign Engineering Demo Day Prep (19:00-31:00)Pete showcases progress on WhatsApp Bitcoin integration with Lightning payments, emphasizing the "hook" of seamless crypto in mainstream messaging. Rebuilt gateway architecture to support multiple networks. Tired on the Field game adds skydiving cows, laser eyes, and Nostr login for persistent leaderboards. Other notable demos include Context VM servers, Gigi's Amps semantic search, local-first relay architecture, DNS alternatives using public key infrastructure, and BitChat's offline Bluetooth mesh for protest coordination. Andy's Project Portfolio (31:30-38:00)Building Supply Drop, a standalone e-commerce brand using Shopify with third-party manufacturing APIs. Developing a podcast knowledge graph with Neo4j to track recurring themes and philosophical evolution across episodes, aiming to create an interactive agent for exploring the show's intellectual journey. Designing a minimalist habit tracker app that locks users into one habit for 21 days before allowing additional habits, incorporating AI accountability coaching. Future Direction (38:00-39:00)Plans for workshops on both coding and non-coding agent applications when Pete returns to Perth. Recognition that agent capabilities are poorly understood despite their power across diverse use cases.

The Good Stuff, with Pete and Andy - Episode 25: Freedom Tech & The Beacon Project Hosts: Pete and Andy Episode Overview: Pete and Andy reflect on their Jeff Booth conversation, exploring contradictions in AI-debt narratives. Pete unveils major progress on Beacon, his freedom tech project bringing internet access and Bitcoin payments to constrained environments via WhatsApp. The hosts debate AI coding tool frustrations and the shifting development landscape. Key Discussion Points: AI, Productivity, and the National Debt Paradox (01:35-09:55) Examining flawed logic that AI productivity gains will solve government debt. The hosts argue this ignores job displacement and debt repayment mechanics through taxation. If AI eliminates jobs while boosting productivity, governments lose salary tax revenue - accelerating wealth concentration and triggering more money printing. Gold Manipulation vs Bitcoin's Transparent Ledger (14:46-21:42) Gold price suppression through derivatives and lack of auditing contrasted with Bitcoin's audit every 10 minutes. The importance of self-custody to prevent paper Bitcoin markets. "If we all fully reserve our Bitcoin, then there will be no paper Bitcoin for these guys to trade." Bitcoin in Madeira and Nostr's Permissionless Payments (21:42-29:30) Pete shares observations from Madeira where Bitcoin acceptance has normalized. The revelation of Nostr's permissionless payments - sending value instantly without intermediaries. Andy's realization: traditional money transfers require multiple friction points; Nostr enables instant zaps. The Beacon Project: Internet Access via WhatsApp (29:30-47:10) Pete introduces Beacon for environments with no smartphones or reliable internet - only text-based WhatsApp. Beacon enables AI queries, research, and Bitcoin payments through text messages. Origin story from Togo, where internet costs were prohibitive but WhatsApp was free. The vision: delivering the entire internet via text messages to people without internet access. Beacon's Trust Architecture (47:10-58:02) Deep dive into Beacon V5 design separating identity from AI services. Two independent providers create a trust model where neither can unilaterally defraud users. Uses Context VM over Nostr for discovery and communication, eliminating firewall complexities. Challenges the custodial vs self-custodial dichotomy, creating middle-ground trust models where full self-custody isn't practical. AI Development Tool Chaos (58:02-01:12:23) Frustrations with Claude Sonnet 4.5's rate limits and inconsistent performance. Andy hits weekly limits after one day. Pete's migration to Codex and Goose, finding better consistency. The problem: opacity in which components change makes debugging impossible. Notable Quote: "Bitcoin audits the entire world supply every 10 minutes - like melting down all the gold in the world repeatedly to make sure it's legit."

Summary In this engaging conversation, Jeff Booth discusses the transformative power of Bitcoin and the importance of agency in shaping our realities. He explores the relationship between consciousness and the perceived world, emphasizing that our beliefs influence our experiences. The discussion delves into the natural state of the free market, which is deflationary, and how Bitcoin provides a framework for value creation and entrepreneurship. Personal journeys to Bitcoin highlight the desire for freedom and agency, while the role of AI in business is examined as a tool for enhancing productivity. The conversation concludes with insights on the future of work, the necessity of flexibility, and the importance of making conscious choices in a rapidly changing world. Titles Unlocking Agency: The Power of Bitcoin Consciousness and Reality: A Bitcoin Perspective Sound bites "The jail cell door is open." "You have the choice. We all have agency." "The world is going to be a chaotic place." Chapters 00:00 Introduction to Jeff Booth 01:57 Agency and Consciousness in Bitcoin 05:43 The Role of Mind in Reality 10:36 The Filter Bubble and Agency 12:34 The Importance of Perception 16:22 Personal Journeys to Bitcoin 19:12 The Zero-Sum Game vs. Infinite Game 23:19 The Challenge of Bridging Two Worlds 28:25 The Future of AI and Bitcoin 30:38 The Impact of AI on Business 39:19 The Illusion of AGI 46:55 The Role of Entrepreneurship in a New Economy 51:27 Building Value in Bitcoin 01:01:06 The Future of Work and Value Creation 01:09:11 Conclusion and Future Outlook Keywords Bitcoin, agency, consciousness, deflation, entrepreneurship, AI, value creation, free market, perception, reality Takeaways Agency in the world allows individuals to create their desired reality. The perceived reality is shaped by individual consciousness and beliefs. The natural state of the free market is deflation, which benefits everyone. Bitcoin provides a new framework for value creation and entrepreneurship. Personal journeys to Bitcoin often stem from a desire for freedom and agency. The zero-sum game mentality limits growth and understanding of Bitcoin's potential. AI and Bitcoin can coexist and enhance each other's value. Entrepreneurs must adapt and reinvent their businesses to thrive in a changing economy. The future of work will involve more flexibility and creativity in problem-solving. Building value in Bitcoin requires a shift in mindset from traditional financial systems.

The Good Stuff, with Pete and Andy - Episode 23: Left Curve Solutions and AI Implementation Challenges Hosts: Pete (from Madeira) and Andy (from Perth) Episode Overview: Pete and Andy explore the challenges with AI tooling reliability, the philosophy of "left curve" solutions over complex engineering, and why most enterprise AI pilots are failing. The discussion covers Nostra protocol development, business implementation strategies, and the ongoing debate between bionic human versus human-at-the-edge AI integration models. Key Discussion Points: **Nostra Protocol Development and Decentralized Applications (04:00-25:00)** Pete shares updates from Madeira on building decentralized applications using Nostra protocol Discussion of "bring your own database" concept - Nostra KV Connect for private company data Benefits of distributed data storage versus centralized honeypots vulnerable to hacking Identity portability and cryptographic authentication as core value propositions **Craig David Bot Demo Project (22:00-25:00)** Pete's weekly demo challenge: building a bot that analyzes your week using Nostra events Integration with payment systems and automated research capabilities Future plans for video generation with custom music overlays **Claude Code Performance Issues (25:00-40:00)** Widespread reports of Claude Code degradation affecting productivity across the development community Anthropic's explanation of "three interlocking bugs" affecting token routing and limits Discussion of alternatives like Wingman, Goose, and maintaining control over AI tooling stack The shift from 100x productivity back to 90x productivity as a "first world problem" **Left Curve Solutions Philosophy (40:00-46:00)** Concept borrowed from Sovereign Engineering: avoid mid-curve over-engineering Examples from Bitcoin e-cash development where simpler solutions (Fedimints, eCash) succeeded The tendency to over-complicate due to ego and "tall poppy syndrome" Focus on minimal viable approaches rather than proving technical sophistication **Enterprise AI Pilot Failure Analysis (46:00-58:00)** MIT study showing 95%+ failure rate for AI pilots in large organizations Root causes: poor scoping, misunderstanding of technology capabilities, bureaucratic implementation Lack of genuine problem identification and systems thinking approach The consulting industrial complex extracting fees without delivering value **ROI Measurement Challenges (58:00-1:05:00)** Traditional additive ROI models don't capture compounding AI benefits Example: document review automation leading to faster deals, new service offerings, market expansion Need for longer-term measurement frameworks beyond quarterly reporting cycles Hidden individual AI usage versus official pilot programs **Build vs Buy Strategy Discussion (1:05:00-1:12:00)** Opportunity to capture market share while incumbents struggle with implementation Time advantage for building AI-native solutions while large companies run ineffective pilots Path dependency question: bionic human as stepping stone to human-at-the-edge models Role-dependent optimal human placement in AI-augmented workflows **Implementation Philosophy** "Full left curve solutions" - prioritizing simplicity and function over complexity "We're not here to fuck spiders" - focus on meaningful problems, not technical masturbation The "dog with two dicks" problem - AI tools that code aggressively without proper planning

The Good Stuff Podcast - Bitcoin, Nostr and Sovereign Engineering Hosts: Pete and Gigi (walking around Funchal, Madeira) Episode Overview: A walking conversation exploring Bitcoin circular economies, eCash payment systems, Nostr's permissionless internet vision, and AI's impact on business transformation. Key Discussion Points: Journey to Madeira and Initial Motivations (02:00-10:00) Guest's discovery of the No Solutions podcast and the Calle eCash episode Previous work in eCash space and early Lightning Network skepticism Worldview centered on individual control and localism over centralized institutions Bitcoin Adoption Reality in Madeira (10:00-22:00) 200+ merchants accepting Bitcoin across the island Seamless payment experience - "just another payment method" for merchants eCash and Payment System Evolution (22:00-35:00) AI services driving demand for micro-payments and permissionless APIs The "Netflix problem" of subscription fatigue across services eCash enabling true "lemonade stands" in cyberspace without KYC barriers Solving the chicken-and-egg problem through prepayment models Nostr as Internet Infrastructure (35:00-50:00) Cryptographic identity and money as native internet protocols Replacing username/password systems with permissionless access Japanese Nostr communities as example of organic self-organization Moving beyond the "app player renaissance" toward true peer-to-peer systems AI Business Transformation Strategies (50:00-1:15:00) Debate over AI as incremental tool vs. fundamental paradigm shift Real-world business automation in rental management and service industries The cost of building vs. buying existing businesses for AI transformation Human role shifting from process center to "edge interfaces" Local vs. Global Community Building (1:15:00-1:28:00) Relocalization enabled by AI reducing dependence on Silicon Valley Sovereign Engineering cohort as proof-of-concept for prototype-driven development Nostr enabling global communities with local trust relationships Bitcoin businesses emerging organically from community connections Optimism and Future Outlook (1:28:00-end) Choosing optimism as pragmatic approach to uncertainty Technology tools creating new possibilities for permissionless innovation The importance of meaning and human agency in an automated world Notable Quotes: "Pre-Bitcoin, it was basically impossible to do a lemonade stand in cyberspace." "Everything's a remix. That's why I don't like copyright. It just doesn't exist." "Stop being sick and just be awesome instead - that's how you get better very quickly."

The Good Stuff, with Pete and Andy - Episode 21: Remote Vibe Coding & AI Agent Orchestration Hosts: Pete and Andy (first remote recording - Pete traveling, Andy at the beach) Episode Overview: Pete and Andy explore advanced AI agent workflows, the evolution of AI coding tools, and strategies for building sustainable development practices while Pete is away doing "vibe coding and freedom tech" work. Remote AI Development & Wingman Evolution (03:00-15:00) Pete demonstrates how geographic separation enhances AI-powered development, using his Wingman system to continue building while traveling. Discussion of voice-driven ideation versus typing, and the cognitive benefits of speaking ideas into existence without syntax distractions. Trigger-Based Automation & Overnight Jobs (15:00-25:00) Introduction of Wingman's new trigger system allowing file-based automation and scheduled tasks. Pete's breakthrough with overnight security reviews using "Grug Brain Developer" principles to audit code changes and identify complexity concerns while he sleeps. Claude Code vs. Goose: The Dual-Agent Approach (28:00-32:00) Analysis of using different AI models for different cognitive tasks - Claude Code as the enthusiastic "drunk writer" for rapid development, Goose as the thoughtful "sober editor" for planning and documentation. The "dog with two dicks problem" of Claude Code's over-eagerness to build. Documentation Architecture & Anti-Slack Philosophy (32:00-40:00) Strong critique of chat-based interfaces for knowledge work. Pete's systematic approach to moving valuable insights from chat conversations into structured Obsidian documentation, and why real-time messaging tools damage business focus and inspiration. AI Agent Loop Problems & Root Cause Analysis (41:00-50:00) Technical discussion of when Claude Code gets stuck in debugging loops due to hard-coded values and scope creep. Solutions include using different AI models for root cause analysis and implementing background auditing agents to catch coding mistakes. Design-First Development & Planning Orchestration (50:00-59:00) The importance of spending more time in ideation and design phases before coding. Discussion of missing orchestration tools to convert comprehensive documentation into manageable work packages, and the trade-offs between YOLO development and structured planning. Segregated Computing: Using dedicated machines for AI development provides security and eliminates local environment dependencies Voice-Driven Ideation: Speaking ideas creates more fluid thought processes compared to typing with its syntax distractions Overnight Labor: AI agents can provide 16 hours of cleanup and maintenance work while humans sleep Dual-Agent Strategy: Different AI models excel at different cognitive tasks - planning vs. execution Documentation Philosophy: Structured knowledge systems beat chat interfaces for long-term value creation "If I can buy a bucket of cognition for $1 instead of $100,000, why is the truck that big? What changes?" "I feel like it's evolved from an expensive SaaS to a cheap worker. If you said you can hire somebody for a hundred dollars a month, you'd be like, yeah, that's excellent." "I don't want the robots to give me nice documents on a plate and serve them to me as I sit in my armchair. Come on guys, if we're going to have robot labor, why are we going to these great lengths to make it easy for them?" "Everything's just like in Slack and you have to constantly chase people to figure out versions because nothing's being managed in a sensible way anymore."

The Good Stuff, with Pete and Andy - Episode 20: Wingman - your AI Control Tower! Hosts: Pete and Andy (recorded at City Beach, Perth) Episode Overview: Pete unveils his breakthrough AI agent orchestration system "Wingman" - a Mac Mini-based control center for managing multiple AI agents simultaneously. The discussion explores custom-built solutions versus SaaS subscriptions, testing AI models through games, and the emerging paradigm of humans as "control tower operators" for AI systems. Opening & Context Setting (00:00-01:48) Andy returns from illness for episode 20 Final beach recording before Pete's mysterious Atlantic adventure Reflecting on recent guest episode with Bethanne The Wingman Revolution (01:48-25:00) Pete's Mac Mini experiment: giving AI agents their own dedicated computer environment Evolution from basic setup to sophisticated web-based control system Multiple agent orchestration: Goose and Claude Code working in parallel sessions Remote access from anywhere - phone, laptop, or desktop Obsidian integration for documentation and artifact storage API endpoints for automated session creation and workflows Agent-to-Agent Workflows (20:00-25:00) Return-to-base protocol for session completion and handoffs Webhook systems enabling autonomous agent chains Vision of fully automated code review and development cycles Moving from human-centered to machine-centered processes Custom Tools vs. SaaS Fatigue (25:00-40:00) Economics of $15/month software subscriptions adding up Pete's approach: "Fast fashion for software" - build exactly what you need YouTube reel generator case study: custom-built vs. existing solutions The open-source developer superpower now accessible via AI Management-Style AI Interaction (40:00-50:00) Transition from "button-pushing" to strategic oversight Using specialized agent personalities (Grug Brain Developer for code reviews) Dueling agents: building features in parallel and choosing the best Planning and auditing as core human value-add Gaming as AI Benchmarks (50:00-01:09:00) Settlers of Catan as model testing environment Game mechanics as proxy for enterprise negotiation and resource management Tabletop wargaming automation concepts Testing strategic thinking, negotiation, and long-term planning capabilities The Control Tower Paradigm (01:09:00-01:13:00) Humans as air traffic controllers for AI agent fleets Multiplayer mode implications for teams Terminology evolution: logbooks, flight plans, control towers Dedicated AI Environments: Running agents on isolated hardware eliminates privacy concerns while providing full system access and persistent operation. Agent Orchestration Architecture: The future involves managing 1-100 agents simultaneously across different projects and functions, requiring sophisticated coordination systems. Custom vs. Commercial Software: AI development capabilities are shifting the economics from subscription services to custom-built solutions tailored to specific workflows. Human Role Evolution: The transition from direct execution to strategic oversight and agent management represents a fundamental shift in how knowledge work gets done. "I don't have a good way of explaining how just fucking nice this is" - Pete on Wingman's seamless operation "The data is in the computer. You were in the computer. Talk to it." - Pete on the future of AI interaction "It's the same way that junior developers fuck stuff up... we just need to use the same processes" - Pete on managing AI agents "Fast fashion for software" - Andy's description of rapid custom tool development Looking Ahead: Pete's system represents a glimpse into the future of human-AI collaboration, where individuals can operate sophisticated agent networks from anywhere, fundamentally changing the nature of knowledge work and business operations.

The Good Stuff - Episode 19: The Human Edge Hosts: Pete and Bethan Winn Location: City Beach, Perth Episode Overview: Pete hosts with special guest Bethan Winn, his wife and author of "The Human Edge: Critical Thinking in the Age of AI." They explore the intersection of human thinking and artificial intelligence, discussing when and how to use AI tools while maintaining human agency and creativity. Book Link: The Human Edge: Critical Thinking in the Age of AI Key Discussion Points: Introduction and Book Launch (01:01-04:00) Bethan discusses her motivation for writing "The Human Edge" making critical thinking training more accessible as AI becomes ubiquitous. Her five years of corporate training experience revealed growing need for critical thinking skills in the AI era. The Writing Process (04:00-07:00) First-time author experience, early morning writing sessions, and using dictation to capture ideas. The challenge of moving from workshops to written format with AI assistance. AI as Cognitive Offloading (07:00-12:00) Comparison to historical abstractions like GPS replacing map knowledge and software development layers. The "AI veganism" concept - consciously choosing when to use AI versus manual processes for different purposes. Pete's AI Development Experiments (12:00-18:00) Multi-agent conversations, facilitator roles, and panel discussions between different AI models. Discovery that AIs can generate genuinely new concepts through interaction, challenging assumptions about creativity. Human vs AI Creativity (18:00-25:00) Debate about manufactured music, authenticity, and the value of creative processes. Whether AI-generated content diminishes human artistic expression or simply changes the distribution landscape. Critical Thinking in Practice (25:00-32:00) Using AI conversationally to challenge thinking rather than replace it. The book's focus on structured conversations and frameworks for better decision-making. The Value of Difficulty (32:00-40:00) Importance of uncomfortable experiences for growth. Pete's development of mobile AI tools that enable work while walking, maintaining human movement and reflection. Knowledge Democratization (40:00-48:00) How AI breaks down gatekeeping of specialist knowledge. The shift from information scarcity to the need for better filtering and evaluation skills. Productivity and Attention (48:00-55:00) OODA loops in software development, the challenge of managing multiple projects when AI accelerates execution. Social media's impact on attention and the value of deliberate focus. Social Media Censorship Debate (55:00-01:19:00) Discussion of Australia's social media ban for children. Arguments for education over restriction, the dangers of information control, and the importance of teaching critical evaluation skills. Belief Change and Growth (01:19:00-01:26:00) The "ocean analogy" for confronting uncomfortable truths - the discomfort of changing deeply held beliefs compared to entering cold water, but the growth that follows. Human Connection in the AI Age (01:26:00-01:32:00) The continued importance of empathy and understanding different perspectives. Bethan's approach of assuming the best in people and the value of genuine human connection. Closing Thoughts: "The AI doesn't care about the outcomes that you get, but you do" - emphasizing human agency in an AI-augmented world. Book: "The Human Edge: Critical Thinking in the Age of AI" by Bethan Winn

The Good Stuff, with Pete and Andy - Episode 18: Building and Shipping Hosts: Pete and Andy (recorded at City Beach, Perth - the van is back!) Episode Overview: A follow-up to their accountability session from last week, Pete and Andy report back on actually shipping products to completion. This episode covers their successes with Fat Controller and Hype Man, explores new development workflows with Claude Code, and discusses the evolution of AI-assisted coding practices. Follow-up from last week's therapy session about finishing projects Pete releases Fat Controller 20 minutes before recording Andy gets Hype Man operational as an autonomous CMO The importance of shipping something people can actually use and pay for Built to solve Pete's timezone posting problem on Nostr Features: GIF support, satellite CDN integration, secure keychain storage (Mac only) Evolved from local-only to supporting remote signers for hosted version Redesigned signing architecture for better remote compatibility Released as open source with value-for-value model Andy's first official week on Nostr - hasn't felt compelled to check Twitter More invigorating and motivating environment Zap payments add meaningful interaction layer Less negative energy compared to Twitter/X Multi-agent system that extracts insights from podcast transcripts Creates and publishes social media content automatically Iterative improvement process: removed research agent, added review agent Cost-constrained testing with DeepSeek, upgraded to Claude for better output Reflection agents as key pattern for improving AI output quality Claude Code excelling at small, targeted changes Cursor better for complex, orchestrated implementations Claude Code's agentic loops provide better multi-step problem solving Both tools serve different phases of the development process Mac Mini as dedicated AI development server with 24/7 availability Terminal-based workflows accessible from phone via voice transcription Menu-driven system for common development tasks Segregated environment philosophy: give AI full access to designated machines Mobile coding: voice-to-terminal transcription enabling "vibe coding" from anywhere Three modes: drunk idea capture, sober editing, drunk coding Need for seamless idea-to-implementation pipeline Tutorial mode: AI explaining reasoning behind architectural decisions Balancing speed vs learning in AI-assisted development Danger of spending more time optimizing AI workflows than building actual products "Sharpening the axe forever" - when process improvement becomes procrastination Finding balance between efficiency and productivity Debate: Transform existing businesses vs. build AI-native competitors Unit economics advantage of AI-native companies Venture funding opportunities for dramatically improved cost structures Private equity interest in AI transformation strategies Weekend project to replace Screen Studio subscription Real-time vs post-processing architecture decisions Part of broader strategy to reduce SaaS subscriptions and build local tools Working prototype with keyboard shortcuts and lightweight toolbar interface Vision for idea-to-prototype pipeline Speed Run workshop concept: build entire company in one day Integration of existing tools (Pipeline, Wingman, Claude Code) into cohesive workflow Vibe startups: from idea to launched product with full departments

Hosts: Andy and Pete (recorded on the balcony at an undisclosed location) Episode Overview: Pete and Andy explore the challenges of shipping projects in the age of AI, discussing their experiences with Claude Code, the paradox of infinite possibilities versus completion, and strategies for moving from ideation to deployment. Opening & AI Agent Development (00:00-12:00) The hosts discuss Pete's "Hypeman" project - an autonomous agent that ingests podcast transcripts, conducts web searches, and tweets throughout the day. They explore the challenges of managing Claude Code's tendency to over-engineer solutions and add unnecessary features. Claude Code vs Planning Environments (12:00-24:00) Discussion of using different environments for planning versus execution. Claude Desktop for read-only planning and code review, Claude Code for implementation. The "dog with two dicks" analogy - Claude Code's overwhelming enthusiasm to build everything immediately rather than following structured plans. The Old Bull and Young Bull Framework (24:00-30:00) Pete and Andy introduce their management philosophy for AI agents: needing both the enthusiastic "young bull" (execution agent) and the wise "old bull" (planning/orchestration agent) to achieve optimal results. The Completion Problem (30:00-40:00) Deep dive into the challenge of finishing projects when AI makes starting new ones so easy. The dopamine hit of new ideas versus the grind of deployment. Recognition that they're developing sophisticated vibe coding setups but struggling to ship finished products. System Development vs Product Shipping (40:00-50:00) Exploration of whether time spent refining AI coding systems is valuable capital development or procrastination. Discussion of calendarizing projects and creating external deadlines to force completion. Cost Optimization in AI Agents (50:00-56:00) Pete shares how iterating on Hypeman reduced costs from $20-30 per transcript to 50 cents by strategically using different models (DeepSeek vs Sonnet 4) for different tasks. Social Media Strategy & Nostr Focus (56:00-01:08:00) Comparison of engagement across platforms - genuine human interaction on Nostr versus bot-heavy Twitter. The value of being able to send sats for valuable content. Discussion of LinkedIn's corporate facade versus Twitter's AI innovation content. The Australian Tech Landscape (01:08:00-01:14:00) Concerns about government surveillance, economic dependency on government spending, and the contrast with AI's promise of infinite leverage for entrepreneurs. Action Items & Accountability (01:14:00-01:15:36) Commitment to ship projects by next episode. Plans for content recycling tools and increased Nostr presence. Recognition that shipping, not starting, is their bottleneck. "The cost of doing something goes to zero, then the only real constraint you have is what you should do." "I feel like the bit that makes it the wrong idea is the opportunity cost... we just narrowed that window down to a few hours." "You've got to go and spend all your time and energy in the system that you want to win." Next episode will feature accountability check-ins on shipped projects and progress on deployment systems. The hosts commit to focusing on completion over ideation. Episode Theme: The challenge isn't building with AI - it's knowing what to build and actually shipping it.

# The Good Stuff Episode 16 - LLM Subscriptions, Goose AI Agent, Beacon & Bitcoin **Summary:** In this episode, hosts discuss subscription-based AI services and their rate limits, sharing their frustrations with Claude and Cursor's recent policy changes. They explore their personal workflows using various AI tools for coding, writing, and idea development, discussing the benefits of using multiple specialized tools versus all-in-one solutions. The conversation concludes with an in-depth look at "Beacon," a project designed to bring AI tools and Bitcoin functionality to users in areas with limited internet access through platforms like WhatsApp. ## Key Themes: **Subscription Models and Rate Limits in AI Services** (00:00 - 27:00) - Discussion of Claude implementing weekly rate limits - Comparison with Open AI's subscription model - The economic realities of providing AI services - Issues with communication and "bill shock" when companies change terms **Personal AI Tool Workflows and Setups** (27:00 - 50:00) - The hosts' approaches to using different AI tools for specific purposes - Discussion of Claude desktop vs API performance differences - Challenges with integration across different platforms - Running local models on dedicated hardware **Agent-Based Writing Tools and Philosophy** (50:00 - 73:00) - Building dialogue-based writing companions versus editing tools - The importance of focusing on the philosophy behind writing - How agent-based conversations can help develop ideas more effectively - Creating systems that don't interrupt creative flow **Vibe Coding and Game Development** (73:00 - 84:00) - Using voice-based coding for game development - The potential of AI for nostalgic game recreation - Making coding more accessible through voice interfaces - Teaching coding through game development **Beacon: AI and Bitcoin for the Underserved** (84:00 - 1:14:00) - Introduction to Beacon, a system bringing AI and Bitcoin to users via WhatsApp - How it works around censorship and limited internet access- Creating community financial tools for areas with limited banking - The importance of bringing information freedom to underserved populations

Episode 15- Moar Vibe Coding Talk! Summary: In this episode, Andy and Pete discuss their evolving coding workflows with AI tools, focusing on how Claude Desktop and Cursor have created more structured and efficient development environments. They share insights about implementing sequential prompting methods, organizing work in Obsidian, and using AI-driven panel discussions to explore ideas. The conversation highlights how AI tools are changing their approach to productivity and shifting focus from execution to more fundamental questions about project purpose. 00:11 - 05:47: Improved AI Coding Workflows Discussion of Claude Desktop for ideation and technical planning Implementation of sequential prompting with validation checks Creating structured folder systems in Obsidian for better organization Example of 3GS scene development using this workflow 05:48 - 11:00: "Vibe Coding" vs Structured Approaches Comparing different coding approaches with AI assistance Benefits of implementing checks and balances in code generation Creating change logs and indexes to track progress across projects How this system helps manage multiple concurrent projects 11:01 - 15:36: AI Environment Improvements Discussion of GitHub MCP setup for code checking Benefits of super whisper for voice control Plans to run local models on a new Mac Mini Using Goose as an agent on dedicated hardware 15:37 - 23:23: AI Panel Discussions for Knowledge Generation Using AI agents to have conversational exchanges about topics How dialogue between AI models can generate new insights Testing different models (Claude, Grock) to identify bias patterns Value of these synthetic discussions for idea exploration 23:24 - 31:20: Shifting Focus from Tasks to Purpose Discussion about capturing organizational knowledge from meetings The limitations of task-focused productivity tools How AI automation shifts focus from execution to purpose The importance of asking "why" rather than just "what" and "how"

# Episode 14: Vibe Coding that works! In this episode, the hosts discuss their development of "slow code," a more intentional approach to coding with AI that contrasts with "vibe coding." They explore how this methodology creates a structured workflow combining human planning with AI execution, resulting in higher quality code while maintaining the speed benefits of AI assistance. ## Key Themes: **Understanding Vibe Coding** (00:02:20 - 00:08:00)* Vibe coding involves speaking instructions to AI and ignoring the underlying code* Democratizes coding by allowing anyone to build in natural language* Major downside: potential security issues and poor code quality **Evolution to Slow Code** (00:08:00 - 00:19:40)* Hosts developed methodologies through experimentation with AI tools* Initial frustrations with existing AI coding tools led to refinement* Slow code combines intentional planning with AI execution **Three-Phase Methodology** (00:19:40 - 00:25:30)* Ideation: Using Claude Desktop for exploration and brainstorming* Planning: Converting ideas to structured documents and roadmaps in Obsidian* Execution: Having AI implement based on detailed specifications **Tools and Implementation** (00:25:30 - 00:40:00)* Using Obsidian for planning and documentation* Connecting to AI tools via MCP (Model Context Protocol)* Root Code for implementation with orchestration capabilities* Benefits of separating environments for different phases **Multi-Agent Conversations** (00:40:00 - 00:51:00)* Creating pipelines where multiple AI agents discuss ideas* Using different models (Claude, Grok) to avoid single-model biases* Value in seeing how ideas develop through agent conversations **Benefits of Slow Code** (00:51:00 - 01:01:30)* Creates reusable, higher quality code versus one-shot vibe coding* Maintains human intentionality and design control* Still much faster than traditional development* Parallels the "write drunk, edit sober" approach to creative work **Future Applications** (01:01:30 - 01:15:00)* Integration with Goose for continuous development and scheduling* Creating dedicated AI development environments* Applications beyond coding (writing, research, analysis)* Plans to share methodology through tutorials and community **Contrasts with No-Code Tools** (01:15:00 - 01:26:00)* Visual no-code tools add unnecessary complexity* Slow code leverages AI's strengths while maintaining human oversight* More flexible than constrained visual interfaces

Episode 13 - Creativity and Summoning AI like a Shaman Hosts: Andy and Pete Guest: Gav Fielding (Digital Marketing & Brand Specialist, Artist) Exploring AI's creative potential, the art of prompt engineering as digital shamanism, and how traditional creative processes translate to the age of artificial intelligence. AI Development Evolution (00:00-08:22) Cursor IDE billing changes and the shift from "slow coding" to "vibe coding" Return to "super fast waterfall" development with AI agents Context window limitations: quality vs quantity Human vs AI Context (08:22-15:55) The challenge of replicating human contextual understanding in AI Multi-personality aspects of identity and AI agent development "Things you know" vs "things you are" in AI persona creation Vision and sensory data as the next AI frontier Learning Transformation (15:55-24:12) Khan Academy's personalized AI math tutoring Tailoring communication styles to individual learning preferences ChatGPT's tutor mode: guided discovery vs direct answers Voice interface challenges in natural conversation Creativity as Process (24:12-35:20) Creativity as a "volumes game" generating many ideas to find exceptional ones AI raises both floor and ceiling of creative output The "doorman fallacy" - losing tacit knowledge through naive automation Personal AI tools outperform organisational implementations Purpose in an Abundant World (35:20-46:48) When everything is automated, purpose becomes the key differentiator Brand strategy increasingly important with commoditized intelligence- Balancing automation benefits against loss of meaning David Graeber's "bullshit jobs" in AI context Creative Problem-Solving (46:48-55:06) Engineering vs creative solutions (Rory Sutherland's elevator mirror example) Market research challenges: people can't articulate true needs The difference between mechanical and psychological solutions Decentralization & Community (55:06-58:14) AI enabling hyper-localisation and community based solutions Shift from centralised to localised innovation Evolution toward gig economy with community co-working hubs Shamanic Prompt Engineering (58:14-1:18:43) Prompt engineering as modern "shamanism" summoning digital entities "Set and setting" for AI interactions, borrowed from psychedelic methodology Multi-agent conversations for enhanced ideation Tools like Mind Hive for collaborative AI workshops Creative Methodology (1:18:43-1:27:54) Hemingway's "write drunk, edit sober" framework Separating ideation from judgment in creative processes Underwater brainstorming for forced creative breakthroughs Divergent vs convergent thinking states Digital Summoning (1:27:54-1:39:34) AI requiring careful "birthing" and context setting Traditional shamanic practices informing modern AI interaction The art of "enchanting" AI with proper incantations Standout Quotes "Creativity is just a volumes game. You have more ideas. Some of them are good, some of them are bad, and you filter them all out." "It's almost like layering in pre-modern medicine... the clash between those applied to AI now versus current life versus future AI life." "We're all shamaning this thing. And we're just giving it a bad trip." "There probably is like a way of... maybe it's all in occult books around summoning demons. It's actually just got mis-translated over the years. And it was actually all about context engineering."

The Good Stuff, with Pete and Andy - Episode 12: AI Myths and the Future of Work as Play Hosts: Pete and Andy (recorded at City Beach, Perth) Episode Overview: Pete and Andy explore common AI myths and misconceptions, diving deep into interface design, the productivity vs creativity paradigm, and how work might evolve to resemble play in an AI-enabled future. Reflections on Guest Episodes (00:00-03:20) Dynamic of having guests vs. just the two hosts Preference for discussion format over structured interviews Organic conversation flow versus scripted content The "I Trained the Model" Myth (03:20-10:30) Misconception between fine-tuning vs. adding context/documents Most "training" is actually just attaching PDFs or system prompts LLMs should handle interface, not factual recall Context engineering as the superior approach over model training Small vs. Large Language Models (10:30-16:30) The "Ferrari for grocery shopping" mentality - overusing frontier models Small language models as the better choice for repetitive commercial workflows Cost and speed advantages of smaller models for specific tasks Modular approach: using right-sized models for different pipeline steps Interface Design Myths (16:30-27:30) Chat as the default AI interface limiting potential Need for adaptive interfaces suited to different working styles Microservices architecture finally becoming economically viable with AI Moving beyond monolithic "big model for everything" approach Flow State and Adaptive Interfaces (27:30-39:00) Spreadsheets as example of adaptive, durable tools Visual vs. text-based collaboration preferences The ramp-up/ramp-down challenge when returning to complex projects Multiple input/output modalities for different contexts Human Collaboration Patterns (39:00-48:00) Engineers gravitating to whiteboards for collaboration The canvas as shared workspace vs. individual thinking space Voice, visual, and collaborative interfaces serving different needs Balancing real-time interaction with persistent documentation Creativity vs. Productivity Paradigm (48:00-58:00) AI as creative enabler rather than just productivity booster The scary prospect of agency - having to decide what to work on Embodied human experience as irreplaceable for insight generation Examples from Rory Sutherland: mirrors in elevators, train comfort over speed The Future of Work as Play (58:00-1:08:00) Moving from medieval peasant schedules to office work and back to leisure Work resembling exploration and experimentation The role of craft and embodied skills in an AI world Victorian gentlemen as preview of future leisure class Error Tolerance Double Standards (1:08:00-1:14:00) Unrealistic expectations for AI accuracy vs. human error rates Need for same systems and processes, just faster iteration cycles Human mistakes tolerated due to context; AI mistakes seen as fundamental flaws "It's not the job of the model to know stuff... the best way to get good factual core from these things is context engineering." "Why are you in a hurry? Take your time. Be really comfortable. We'll get rid of the plebs." - On reframing problems "The future's here, it's just not evenly distributed" - Applied to leisure and creative work Bottom Line: AI myths persist because people experience AI through limited interfaces and apply unrealistic error expectations. The real opportunity lies in modular, adaptive systems that enable work to become more play-like, with humans focusing on embodied creativity and meaning-making while AI handles decomposed tasks.

The Good Stuff - Episode 11 Show Notes Summary In Episode 11 of The Good Stuff podcast, hosts Pete and Andy welcome their inaugural guest, Joel Pember, brand director and co-founder of Juicebox. The conversation explores Joel's journey from photography to digital marketing, diving into philosophical discussions about AI's impact on creative industries, the evolving nature of brand and taste in an AI-driven world, and the future of agencies in a rapidly changing digital landscape. Introduction (00:00-02:00) Intro to our first-ever guest, Joel Pember, brand director of Juicebox Joel's Background in Photography (02:50-06:30) Joel discusses his start as a photographer and the philosophical aspects of photo media Explanation of Magnum Photographers and the artistic side of photography beyond technical skills AI's Impact on Photography and Creative Industries (06:30-11:00) Discussion about how AI might affect artistic expression and photographic storytelling Reflection on the difference between AI-generated images versus images with lived experience AI Ethics and Leadership (11:00-18:30) Sam Altman's open letter and the weight of responsibility on AI leaders Debate about governance versus innovation in AI development The need for more philosophical and ethical conversations around AI Government Regulation vs. Organic Development (18:30-25:00) Discussion about regulation of technology (social media bans for children) Debate about centralized control versus free markets and bottom-up solutions How younger generations will adapt to and potentially circumvent restrictions Economic Pressure and Social Considerations (25:00-30:40) How economic pressures limit people's ability to engage with bigger questions Discussion about inflation, debt, and the impact on younger generations The need to question existing systems and consider alternatives Brand Value in an AI World (30:40-40:00) The evolution of social media platforms from connection to algorithmic discovery How brand value might increase in an era of AI-driven abundance The role of brands as shortcuts for trust and quality The Nature of Taste and AI as Taste-maker (40:00-50:00) Discussion about how taste is formed and whether AI can develop authentic taste The role of lived experience in developing taste versus algorithmic recommendations Cultural waves and how brands ride the zeitgeist The Future of Agencies and Customer Experience (50:00-01:02:00) Joel explains how digital agencies have moved from the fringe to the center of brand strateg How customer experience and technology are replacing traditional advertising The role of AI in transforming how brands connect with customers Agency-to-Agency Interactions (01:02:00-01:15:30) Exploring how AI agents might interact with each other on behalf of humans Discussion about hyper-localization and the shift away from global monoculture Joel's vision for Juicebox as designing meaningful connections between brands, people, and intelligent systems Conclusion (01:15:30-01:17:00) Reflection on the conversation and plans for future episodes Joking about making all future guests use the "Joel sprite" in their visualization