Experts in the Loop Podcast Por Chris Sinclair and Mark Monfort arte de portada

Experts in the Loop

Experts in the Loop

De: Chris Sinclair and Mark Monfort
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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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Episodios
  • We Built 3 Real Tools With AI and Showed You How (Claude Code, Manus & More)
    Mar 16 2026

    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 meetings
    • The vibe coder's workflow hack that turns voice notes into working prototypes
    • Live migration: ChatGPT to Claude — what actually transfers (and what doesn't)
    • Claude vs ChatGPT: why sycophancy matters more than people think
    • The AI knowledge retention debate — and why it's more nuanced than the headlines
    • Real tools built with Claude Code and Manus: market tracker, activity tracker, pitch decks
    • World Monitor — what someone built with open source tools to track global conflict

    Tools 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

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    44 m
  • The New AI Product Skill Stack (LLMs, Eval, Data Loops) — Explained
    Mar 10 2026

    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

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    49 m
  • Privacy, AI, and Risk: The Practical Governance Playbook w/ Ed Morris from Transform LogiQ
    Feb 16 2026

    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

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    1 h y 9 m
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