Experts in the Loop

Chris Sinclair and Mark Monfort

Experts the Loop brings you inside Australia’s AI frontier. Hosts Chris Sinclair and Mark Monfort sit down with founders, leaders and experts shaping the digital AI market, uncovering the products, journeys, and ideas driving AI adoption. Smart, unfiltered, and a little cheeky — it’s your backstage pass to the people redefining Australia’s tech future (and the world of course). Mark Monfort, the tech wizard behind the @AusDefi Association and NotCentralised, isn't just a name—he's a legend. With blockchain fin-tech victories under his belt, he's now on a quest to build the ultimate #LLM, SIKE.ai, enhancing business workflows and securing data like a true digital sorcerer. Nothing can stop him! Chris Sinclair, the design guru and UX/CX mastermind, knows the secrets of digital innovation and business strategy like the back of his hand. Partnered with Digital Village, a league of specialists leading the charge in product development and innovation, Chris is here to prove that the old ways of working are no match for the future! Get ready for epic discussions, expert perspectives, and a sneak peek into the future of digital innovation. Don't forget to like, subscribe, and stay tuned for more episodes as we explore the frontiers of technology with a dash of humour and a whole lot of superhero flair...or fails!

  1. 14 UUR GELEDEN

    We Built 3 Real Tools With AI and Showed You How (Claude Code, Manus & More)

    Episode 50: Building With AI — Real Tools, Live Demos, and the Future of the Builder Stack This is episode 50, and we're doing something a bit different. Less interview, more build session — live demos, real tools, and some honest takes on where AI is actually at right now. Chris and Mark dig into what it looks like to genuinely build with AI in 2025: from controlling Claude Code remotely via your phone, to migrating from ChatGPT to Claude live on camera, to showing tools they've actually shipped — a custom stock analytics dashboard, a desktop activity tracker, and a community knowledge platform built using Manus. They also get into the debate you're probably seeing everywhere: is vibe coding a threat to real development knowledge? Or is this just the calculator moment all over again? Plus — is the SaaS apocalypse real, and what does it mean for the tools you're paying for today? In this episode: Claude Code remote control — build from your phone while you're between meetingsThe vibe coder's workflow hack that turns voice notes into working prototypesLive migration: ChatGPT to Claude — what actually transfers (and what doesn't)Claude vs ChatGPT: why sycophancy matters more than people thinkThe AI knowledge retention debate — and why it's more nuanced than the headlinesReal tools built with Claude Code and Manus: market tracker, activity tracker, pitch decksWorld Monitor — what someone built with open source tools to track global conflictTools mentioned: Claude Code, Claude (Anthropic), ChatGPT, OpenAI, Bolt, Manus, Stackblitz, Gemini, NotebookLM, Yahoo Finance, Canva, Relevance AI, Build Club 🔔 Subscribe for weekly episodes on AI, product thinking, and what it actually takes to build in the age of AI. 💬 Tell us in the comments — are you still on ChatGPT, or have you made the switch? Experts in the Loop — recorded at Facts Global, Sydney. Keywords: Claude Code, building with AI, vibe coding, ChatGPT to Claude migration, AI tools 2025, Claude vs ChatGPT, Manus AI, AI developer tools, AI productivity 2025, no-code AI, AI SaaS, build with Claude, Anthropic Claude, AI workflow, AI podcast Australia #ClaudeCode #BuildingWithAI #VibeCoding #AITools2025 #ChatGPT #Claude #Anthropic #AIProductivity #ExpertsInTheLoop Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    44 min
  2. The New AI Product Skill Stack (LLMs, Eval, Data Loops) — Explained

    6 DGN GELEDEN

    The New AI Product Skill Stack (LLMs, Eval, Data Loops) — Explained

    AI is changing product management fast — and “adding AI to the roadmap” isn’t a strategy. In this episode of Experts in the Loop, we sit down with Alex Zenoviev (Head of Product at Neo Intelligence and co-founder of Genelab, one of Australia’s strongest AI product communities) to unpack what it actually takes to be an AI product leader in 2026. You’ll hear Alex’s journey from engineering into product, why teams beat lone geniuses in modern product building, and the real skills product leaders need to ship useful AI features without the hype. Chapter markers: 00:00 Intro + meet Alex Zenoviev (Neo Intelligence, Genelab) 01:12 Community mindset + why commitments matter 01:34 Stop tool-hopping: go deep on one tool 03:52 Alex’s background: web dev → product (starting 2011) 05:08 Working with technical teams (and why product clicked) 11:57 How Genelab started (and balancing career + family) 24:39 What makes great product teams: diversity of thought 33:46 How AI is changing the product role (AI PM vs PM) 35:20 The new AI product skill stack: LMs, evals, prompt engineering 36:58 Real example: using AI automation with a sales team 41:15 Data assets as the real moat (data loop thinking) 46:30 Tooling check-ins + automation/prototyping stack (Manus, Relay, DevRev) 48:00 Wrap up + thanks for joining us What you’ll learn • The new “AI product skill stack” (LLMs, evaluation, prompt craft, automation) • Why most AI features shipped in a rush don’t land with users • How to think about data as a growth loop (better product → better data → better product) • How to choose an AI toolset without constantly jumping platforms • What building an AI community teaches you about product, career growth, and leverage Topics we cover • AI product management and leadership in 2026 • AI strategy vs AI theatre (and why “put AI on the roadmap” is not enough) • LLM fundamentals for product people (what matters, what doesn’t) • Evaluation and quality control for AI features • Data, context, and reducing hallucinations • Community building (Sydney meetups, workshops, and why in-person still wins) Who this episode is for • Product Managers and Product Leaders working on AI features • UX and Design folks partnering with AI product teams • Founders building AI-enabled products • Anyone trying to move from “AI curiosity” to real-world product impact If you’re building AI products (or want to), this one will help you think clearer, ship smarter, and avoid the common traps. Subscribe for weekly conversations on AI, product strategy, UX, and what’s actually working in the market. Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    49 min
  3. Privacy, AI, and Risk: The Practical Governance Playbook w/ Ed Morris from Transform LogiQ

    16 FEB

    Privacy, AI, and Risk: The Practical Governance Playbook w/ Ed Morris from Transform LogiQ

    AI is moving fast. Your data foundations probably aren’t. We sit with with **Ed Morris from Transform Logic** to break down the practical steps teams need to take *before* they roll out AI tools across the business.  You’ll hear why **legacy systems and “unknown data”** are still the biggest hidden risk, how **data leakage** happens in day-to-day workflows (including what people paste into ChatGPT), and why spending an extra hour getting governance right can save days—sometimes **millions**—later.  Ed explains how Transform Logic helps organisations: * **Find and classify sensitive data** (so you actually know what you have, where it lives, and who can access it)  * Set up **information governance** that supports innovation (so AI governance isn’t a handbrake)  * Reduce risk while meeting **Australian privacy obligations** and preparing for tighter regulation and enforcement  AI rollout is rarely a “tool problem” — it’s a **people, culture, and education** journey.  ### Who this episode is for If you’re a **CIO, CTO, CISO, Head of Data, Product leader, founder, or ops lead** trying to introduce AI safely (without creating a compliance nightmare), this one is for you. ### Keywords to help this rank (naturally embedded) AI governance, data governance, data sovereignty, information governance, data leakage prevention, sensitive data discovery, data classification, Australian Privacy Principles, AI risk management, legacy systems, privacy compliance, enterprise AI adoption, secure GenAI. ### Chapter Markers 0:00 Welcome + first guest of 2026 (Ed Morris, Transform Logic) 0:32 How to stay secure in the AI era (sovereignty + leakage risks) 8:05 Ed’s background: from building tech to focusing on data + governance 17:16 Legacy systems: why data gets messy fast in real businesses 19:09 What finance teaches about risk appetite and controls 26:07 Practical AI risk management: setting governance that supports delivery 32:15 Mapping your data flows (Salesforce/SAP, onboarding, “where does data go?”) 34:03 Data minimisation and retention: the “CV” example and why it matters 46:11 Discover + classify sensitive data (privacy, ISO standards, red flags) 50:02 RAG + embeddings: the hidden “data sent overseas” problem 58:10 Regulation lags reality: how leaders should respond anyway 68:36 Final takeaways + wrap up Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    1u 9m

  4. 22-12-2025

    AI in 2025: The Real Wins, Real Fails, and What’s Next (Year in Review)

    **AI moved fast in 2025. The bigger story? The people building with it.** In this Year in Review, Chris & Mark recap the biggest themes from the last 13 episodes—what founders got right, where “AI strategy” goes wrong, and why *experts* (not just “humans”) need to be in the loop as tools get more powerful. We unpack the show’s pivot from a weekly AI news format into deeper interviews (shout out to Ned Warfield for helping trigger that shift), then revisit standout conversations across product, UX, creative industries, mental health, and the Aussie startup ecosystem. ### What you’ll hear in this episode * **Human-first AI in product & CX:** why “throwing AI into a business” as a checkbox fails, and why workflows + people matter (feat. Charmaine / Frey). * **AI for lead gen & founder lessons:** Serena’s approach with **Fuzzy**—using AI to extract the right signals and improve how people source and engage leads on LinkedIn/social channels. * **AI in the creative industry:** how **aiCandy** uses AI to produce commercial-grade output *with pros shaping the work*, plus the reminder that audience taste still sets the rules (even when AI makes “anything” possible). * **AI for good + psychological safety:** the “burnout is real” thread—tools like Mood AI focusing on prediction, support, and creating safer workplaces (not just shipping tech for tech’s sake). * **Street-level signal from events:** the South by Southwest episode—real-world “doom vs hope” sentiment, builder energy, and practical security notes (like being cautious with AI browsers + prompt injection). * **What’s next:** the shift from “human-in-the-loop” to **expert-in-the-loop**, and plans for 2026: more expert-level convos, more live formats, corporate-focused episodes, and roundtable debates on how AI is impacting different generations. ### What we’re taking into 2026 If you’ve been watching AI from the sidelines, this episode is the push to start building—safely, with better data habits, and by learning with the community around you (there are more free communities and helpful founders out there than most people realise). **Drop a comment:** What was your biggest “AI moment” of 2025—and what do you want us to pull apart in 2026? Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    1u 14m
  5. AI Fixing Workplace Burnout, Emotion & Psychological Safety - Dr Nathan Jones

    08-12-2025

    AI Fixing Workplace Burnout, Emotion & Psychological Safety - Dr Nathan Jones

    Can AI actually make us more emotionally intelligent instead of more robotic? In this episode of the Digital Nexus Podcast, we sit down with Dr Nathan Jones – musician, MTV/Nickelodeon voiceover artist turned psychologist, researcher and co-founder of Mood.ai, an emotional intelligence and psychological safety platform for workplaces. Nathan unpacks his journey from a shy minister’s kid in Adelaide, finding his voice through music and church piano, to winning development deals, doing TV promos, and then burning out on the creative grind. That path led him into psychology, where his PhD delivered the first empirical evidence that lyrics change how we feel above and beyond the music itself – proof that words and stories literally re-tune emotion. From there, Nathan built Mood Institute and Mood.ai, translating years of research on colour, emotion and music into tools that help employees answer a deceptively simple question: “How do you feel?” – and help leaders see patterns in psychological safety, risk and culture in real time. We get into the current AI “branding crisis”, media fear-cycles, and why self-awareness is the real tipping point: if we don’t do our inner work, we’ll point powerful AI tools at the wrong things. Nathan shares how AI can act as a “mirror” for our emotional operating system – reminding us when we’re off track, surfacing patterns in our mood, and nudging us back toward better choices at home and at work. If you’re a founder, product/people leader, or AI builder trying to use AI for good – to support humans rather than squeeze them – this one hits hard. Links: Mood.ai https://www.mood.ai/ Dr Nathan Jones Li https://www.linkedin.com/in/drnathanjones/ In this episode, you’ll learn: How Nathan’s music and voiceover career shaped his thinking on emotion, storytelling and behaviour change What his research reveals about how lyrics, colour and sound interact to shift emotional state Why psychological safety is becoming a compliance issue and a culture issue – and how Mood.ai tries to bridge both with AI-driven check-ins and dashboards How AI can spot emotional patterns (meetings, weather, relationships, sleep) that we miss, and feed that back as practical coaching His advice for founders: building products your younger self needed, listening harder to customers, and using emotional intelligence as a real startup advantage Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    1u 8m
  6. AI vs The Creative Industry: Why It’s Changing for Good | with aiCandy Founders

    24-11-2025

    AI vs The Creative Industry: Why It’s Changing for Good | with aiCandy Founders

    Can you shoot a Cannes-level ad with no cameras, a fraction of the budget and a 99% lower carbon footprint? That’s exactly what Kent Boswell and Marcus Tesoriero are doing with aiCandy, one of the first AI film production studios built for brands and agencies. In this episode of Digital Nexus, we unpack how they’re turning “impossible” ideas from old agency bottom drawers into fully realised films – including a United Nations climate piece set to Mad World by Gary Jules, crafted from real sea-level data across cities like Tokyo, Mumbai, New York and Amsterdam. Kent and Marcus share the origin story of aiCandy (hatched over beers in Cannes as AI talks took over the festival), the moment Google’s Vo3 lip-sync breakthrough made it “officially ready”, and why they’ve gone all-in on AI film as Australia’s first dedicated AI production studio for the commercial and marketing space. In this episode you’ll learn: How aiCandy was born From Cannes Lions chats about “Will Smith eating spaghetti” to spotting the moment AI film crossed from joke to production-ready – and why they decided it was “jump on the train or get left behind.” What an AI film production actually looks like Same brief, strategy and creative process as a top-tier production company – scripts, treatments, casting, locations, storyboards, sound mix and grade – just no physical cameras. Turning shrinking budgets into “impossible” ideas Why high quality expectations keep rising while TVC budgets drop from $200k+ down, and how AI lets them turn a “someone jogging in Sydney” script into a Super Bowl-level spot across the Himalayas with a full cast, zero rollover fees and no weather delays. The UN ‘Mad World’ climate film – from bottom drawer to global story How a shelved idea became a career highlight: using real climate data to show future sea-level rise in multiple cities, layering it with Mad World, and getting Gary Jules to gift them the track 36 hours after they reached out. AI film vs traditional production: the carbon myth The numbers behind the “AI is bad for the planet” headline: a traditional 30-second TVC can create ~40 tonnes of CO₂ (about 16 hot-air balloons), while an AI-produced spot of the same length comes in around 50 kilograms – roughly 2% of one balloon. Why craft still matters more than prompts How decades in film, VFX and award-winning creative direction let them spot the tiny details (like a frame-off lip-sync or a six-fingered hand) that separate “AI meme” from world-class work, and why the tool is nothing without expert taste. What changes for juniors, crew and the next wave of talent How roles are shifting rather than disappearing, and why juniors still need reps – just with new tools, new workflows and fewer red-eye shoots. Where AI film is headed next Why even the people building this stuff hesitate to predict five years out, and how aiCandy is planning to keep raising its own bar after a debut UN project and six more films already in production across comedy, drama and sci-fi. Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    1u 16m
  7. Stop Treating AI Like a Toy - Building real Workflows and AI Digital Twins w/ Tim Rayner

    17-11-2025

    Stop Treating AI Like a Toy - Building real Workflows and AI Digital Twins w/ Tim Rayner

    In this episode of Digital Nexus, Chris and Mark are joined by Dr Tim Rayner — AI Philosopher, author of Hacker Culture and the New Rules of Innovation, and educator at UTS Business School — to unpack how AI can move from “smart autocomplete” to genuine teammates that help people think better, learn faster and build braver. If you’re a founder, product lead, educator or operator trying to make sense of AI beyond the hype cycle, this one goes deep into the human side of intelligent systems: judgment, values, learning, and what it means to flourish in an automated economy. Timestamps:  00:00 – Intro: meet AI philosopher Tim Rayner & set up the human + AI theme  00:41 – AI pilots with zero ROI, job automation & why “shadow AI” is everywhere  01:59 – Human practical wisdom vs machine “intelligence” & why education needs to change  03:01 – Exams, “cheating” with ChatGPT & shifting to a build-first mindset  05:01 – Rethinking business models so AI isn’t just a bolt-on tool  10:00 – Using first principles to spot what’s broken & where AI can help  15:00 – Life as a journey of discovery, learning and updating your story  20:01 – Philosophy as a toolkit for uncertainty and AI-driven change  25:00 – Tim’s path: from researcher to AI educator and innovation partner for leaders  30:00 – Human + AI superteams, synthetic intelligence & where the “magic” happens  35:01 – Training subject-matter experts, managers & execs to act as AI leads  40:02 – Why many leaders are naive about AI and why practical wisdom matters  45:00 – Historical parallels: electricity, revolutions and what this AI moment signals  50:01 – Helping people bring their “magic” into work & unlock grassroots innovation  56:01 – Custom GPTs, Typing Minds & teaching people to build useful agents  57:00 – How to join Tim’s AI programs, why 2026 will be a big AI year & closing remarks  Check out: Superesque: https://superesque.com/ Tim Rayner:  https://www.linkedin.com/in/tim-rayner-superesque/ In this episode you’ll learn: Why universities are being forced to rethink the traditional degree How one business school is restructuring its graduate programs around AI, project-based learning and “build-first” mindsets, and what that signals for employers and students. From tools to teammates: What separates “AI as a fast calculator” from “AI as a collaborator”, and how to frame agent workflows so they support, rather than replace, human judgment. Hacker culture and innovation inside big organisations Tim’s take on the “hidden hackers” in every company, and how leaders can give them space, scaffolding and safety to run meaningful experiments instead of gimmicky pilots. Cognitive offloading vs. cognitive laziness When it is smart to lean on AI for heavy lifting — and where you need to keep humans in the loop so your team doesn’t atrophy its own thinking. Philosophy as a practical AI skill How ideas from Socrates and modern ethics show up in real product decisions: from incentives and power, to who benefits, who’s left out, and how you decide what “good” looks like. Future Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    59 min
  8. The Loveable for Games - Tempest ai the one prompt game creator with Jack Wakem

    10-11-2025

    The Loveable for Games - Tempest ai the one prompt game creator with Jack Wakem

    Can AI make game dev truly “prompt to play”? Jack Wakem (Founder, Tempest AI) breaks down how his team is building “Lovable for games” — a consumer platform where anyone can prompt, iterate, and ship, including a timeline that lets you scrub your build like a YouTube video. Tempest started as an AI-native RPG engine (RAG, context engineering, custom schemas) and evolved into a fast, consumer game-creation workflow. We dig into the hard parts (state, memory, assets), product pivots, and what Jack learned dropping out, working night shifts, and building in public with Build Club (Annie Liao). What you’ll learn Why “AI-native games” are hard (context tracking, long-running state) and the pragmatic path that worked. How Tempest’s timeline lets creators jump to any checkpoint, edit, and keep playing, slashing iteration time. Where AI fits today in game development vs. live asset generation (and what’s still rough). “Lovable for games”: lowering the barrier so non-devs can prompt changes directly in-game. Market context: gaming + AI is ~USD $1.5–2B today with projections to “tens of billions” by 2029. Founder mindset: give yourself a focused year, keep lights on with a job, compress learning through reps. Timestamps: 00:00 – Gaming is huge; meet Jack (Tempest AI) 03:02 – Farm kid to game dev: early life 04:19 – First console memories (Nintendo DS, strict screen time) 07:00 – Designing engaging games; making content to learn 08:05 – Indie projects, clients, and the post-school fork in the road 12:00 – De-risking vs passion; finance path vs gaming; GPT-3 moment 16:03 – Dropping out; night jobs while building Tempest 17:26 – Founder psychology: knowledge, ego, experience 20:20 – Community fuel: Annie Liao & Build Club 24:00 – Tempest focus + the gaming-AI market snapshot 25:18 – Vision: AI-native “never-ending” games (and the hard bits) 28:04 – Context engineering; gen-AI in the dev pipeline 30:00 – What Tempest is: “Lovable for games” (consumer prompt UX) 31:18 – The slow iteration problem in game dev 32:07 – Coding agent + timeline scrubber (edit your game like a video) 33:28 – Building with users: sit-with testing to dashboards 35:10 – Will AI reduce or amplify creativity? 38:05 – The next 5 years: more personal, more experimental games 39:31 – Fundraising: where the round is at 40:08 – How they raised: two years of public building & updates 42:00 – Wrap and where to follow Tempest Guest Jack Wakem — Founder, Tempest AI.  Rural NSW origin story → Uni (Finance + CS) → drops out, works nights (pest control/industrial cleaning) while building Tempest. About Tempest AI Started by prototyping endless, AI-driven RPGs with custom context schemas and an in-house engine to give LLMs reliable world state. Pivoted ~3 months ago into a consumer game-creation platform with a friction-free UX and a unique timeline editor. Tempest website: https://alpha.tempestengine.ai/ Jack Wakem: https://www.linkedin.com/in/jack-wakem-ab7170230/ Quote to remember “You only lose when you quit… keep working at one thing long enough and compounding kicks in.” Join the convers Support the show Other Links 🎙️our podcast links here: https://digitalnexuspodcast.com/ 👤Chris on LinkedIn - https://www.linkedin.com/in/pcsinclair/ 👤Mark on LinkedIn - https://www.linkedin.com/in/markmonfort/ 👤 Mark on Twitter - https://twitter.com/captdefi SHOWNOTE LINKS 🔗 SIKE - https://sike.ai/ 🌐Digital Village - https://digitalvillage.network/ 🌐NotCentralised - https://www.notcentralised.com/ YouTube Channel: https://www.youtube.com/@DigitalNexusPodcast X (twitter): @DigitalNexus

    48 min
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Experts the Loop brings you inside Australia’s AI frontier. Hosts Chris Sinclair and Mark Monfort sit down with founders, leaders and experts shaping the digital AI market, uncovering the products, journeys, and ideas driving AI adoption. Smart, unfiltered, and a little cheeky — it’s your backstage pass to the people redefining Australia’s tech future (and the world of course). Mark Monfort, the tech wizard behind the @AusDefi Association and NotCentralised, isn't just a name—he's a legend. With blockchain fin-tech victories under his belt, he's now on a quest to build the ultimate #LLM, SIKE.ai, enhancing business workflows and securing data like a true digital sorcerer. Nothing can stop him! Chris Sinclair, the design guru and UX/CX mastermind, knows the secrets of digital innovation and business strategy like the back of his hand. Partnered with Digital Village, a league of specialists leading the charge in product development and innovation, Chris is here to prove that the old ways of working are no match for the future! Get ready for epic discussions, expert perspectives, and a sneak peek into the future of digital innovation. Don't forget to like, subscribe, and stay tuned for more episodes as we explore the frontiers of technology with a dash of humour and a whole lot of superhero flair...or fails!

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  • Maker
    Chris Sinclair and Mark Monfort
  • Jaren actief
    2024 - 2026
  • Afleveringen
    17
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    © 2026 © 2025 Digital Nexus
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    Experts in the Loop