What happens when a product designer with 200K+ YouTube subscribers builds an AI tool to replace the most frustrating part of their own job?

Jason Zhou did exactly that. In this episode he joins Chris and Mark to talk through his path from SafetyCulture designer, through a crypto startup that launched 24 hours before the Luna crash, to founding Super Design — an AI product design tool built for teams who don't have a designer on staff.

Super Design started as a weekend Cursor extension. It's now a cloud platform with a native Claude Code and Cursor skill that reads your codebase, understands your design system, and generates production-ready UI inside your existing dev workflow. Jason's argument: roughly 50% of what lands in a designer's backlog — banners, event assets, low-level UI tasks — should never have been there. AI handles the routine output. Designers move up to directing, reviewing, and co-piloting on work that actually needs taste and judgment.

There's a sharp parallel drawn with engineering. The best engineers aren't writing less code with agents — they're operating at 100x leverage. Jason thinks the same shift is already happening in design.

On the YouTube side, he breaks down what drove AI Jason from zero to 200K: meme-style thumbnails, a concept-plus-demo content format, and why the "10X your workflow" clickbait era is over. He also shares his honest take on what audiences actually want from AI content now.

Closes with rapid fire on AI video editing tools, the timestamp problem that's still unsolved, and his one piece of advice for solo founders.

🔗 Follow Jason Zhou: ▶️ YouTube: https://www.youtube.com/@AIJasonZ 🛠️ Super Design: superdesign.dev

🌐 More episodes: eitl.show

Chapters

0:00 Introduction 4:11 Meet Jason Zhou 4:32 From SafetyCulture to a Binance-Incubated Startup 6:38 Building the AI Jason YouTube Channel 8:01 Why He Started Creating Content to Learn 13:34 From Engineering Degree to Product Designer 16:56 Design Philosophy: Test, Learn, Iterate 21:49 Introducing Super Design 22:27 Why 50% of Designer Backlogs Are a Waste 24:59 The Cursor Experiment: Forcing Designers to Code 27:11 How Super Design Started as a Weekend Project 32:59 Building a Search Engine With Taste 37:29 The Claude Code + Cursor Skill: AI Design in Your Dev Workflow 39:37 The Designer Role Is Evolving, Not Disappearing 47:00 What AI Audiences Actually Want Now 48:55 Advice for Aspiring Content Creators 50:36 Rapid Fire: Tools, AI Video Editing and What's Next 56:27 Founder Advice: It Might Be Easier Than You Think

Subscribe for new episodes every week. Experts in the Loop brings you real conversations with the founders, designers, engineers, and operators building with AI right now.

🎙️ Recorded at Facts Global, Sydney

Experts in the Loop | AI podcast | Super Design | AI product design | vibe coding | Claude Code | Cursor AI | AI tools for designers | design for startups | Jason Zhou | AI Jason YouTube | YouTube growth strategy | AI product teams | future of design | 2025

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

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

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