Episode Summary

AI can transform how you work, and you don’t need to be an expert to take advantage of it. Gareth Rydon, co-founder of Friyay, breaks down some of the most powerful AI tools for productivity, from meeting transcription assistants to AI-powered shopping hacks. This episode dives into practical ways to integrate AI into everyday tasks, how to think about AI models like ChatGPT, Claude, and Gemini, and why you should stop stressing over perfect prompts. Plus, Gareth shares his insights on the evolving landscape of generative AI, the competition between LLMs, and which AI tools are actually worth your time.

Time Stamps

00:00 – Intro: The myth of the "perfect prompt" and why you don’t need to save lists of them

02:18 – What is Friyay, and how it helps businesses implement AI

03:22 – The AI tool that made Gareth’s LinkedIn post go viral

05:34 – AI in real life: Using ChatGPT for meal planning and school schedules

09:04 – AI Tool #1: Otter AI – The best AI-powered meeting assistant

13:19 – Why AI note-taking is better than manual transcription

17:35 – How accurate are AI transcription tools?

22:32 – The AI model race: OpenAI vs. DeepSeek vs. Google vs. XAI

26:02 – The celebrity personalities of AI models (ChatGPT as Matt Damon?)

32:20 – AI Tool #2: GPT-4o’s 03 Mini Mode – The ultimate online shopping assistant

37:43 – Pro tip: How to find discount codes with AI

41:55 – Why you should ask AI to prompt itself

Resources Mentioned

1. Friyay – Generative AI studio helping businesses integrate AI (https://www.friyay.ai)
2. Otter AI – AI-powered meeting transcription and note-taking (https://otter.ai)
3. ChatGPT 03 Mini – OpenAI’s reasoning model, great for online shopping (https://openai.com)
4. DeepSeek AI – Open-source LLM making waves in AI accessibility
5. One Useful Thing – AI insights from Ethan Mollick

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Episode Summary

In this episode of "In the Blink of AI," host Georgie Healy interviews Steve Hind, co-founder of Lorikeet, a leading AI customer support platform tailored for complex industries like FinTech and health tech. Steve discusses the evolving landscape of AI, addressing common misconceptions about its capabilities and the importance of prioritising customer experience. He emphasises that delivering effective support, whether through humans or AI, hinges on the intent and goals of the business.

Steve elaborates on the uniqueness of Lorikeet's platform, which enables companies to train AI agents to handle intricate support queries, and highlights the significance of understanding the diverse needs of customers across various sectors. The conversation also touches upon the recent $14 million funding round for Lorikeet and the impact of AI technologies like Retrieval-Augmented Generation (RAG) in enhancing customer support.

Throughout the discussion, Steve shares insights on the importance of empathy in AI interactions, the role of customisation in chatbot personalities, and the necessity for businesses to adapt to the fast-paced AI advancements. He concludes with a reminder to approach AI with a mindset focused on improving customer experiences, urging listeners to be kind to AI as it continues to evolve.

Time Stamps

00:00 – Why AI customer support gets a bad reputation

01:52 – What makes Lorikeet different from other AI support tools

02:49 – Why banks and healthcare companies need AI-driven customer support

09:00 – What is RAG, and why does it matter for AI-powered customer service?

14:09 – The biggest mistake AI chatbots make in customer support

16:26 – What does "agentic reasoning" really mean?

19:12 – The cost of running AI models and why RAG reduces compute power

27:46 – AI tools Steve uses every day (and his take on Perplexity and Replit)

30:36 – How to stand out when applying for an AI job

39:18 – What people get wrong about AGI and AI scaling laws

Resources Mentioned

Lorikeet – AI-powered customer support for FinTechs and health techs (https://www.lorikeetcx.ai/)

Blackbird Ventures, Square Peg, Skip Capital – Major investors in Lorikeet

Replit & Cursor – AI-powered developer tools for software engineering

Perplexity AI – AI search and research assistant

Superhuman AI – AI-powered email client with automated responses

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Episode Summary

In this episode of In The Blink of AI, Georgie Healy chats with Jing Wei, Lead AI Engineer at Fetch, an InsurTech startup backed by Airtree. Fetch is leveraging AI to streamline pet insurance claims, making vet care more accessible and efficient.

Jing shares insights into AI’s role in pet healthcare, tackling handwritten vet notes, PDFs, and complex medical data to speed up claims processing. She also discusses the rise of robotic pets, including China's viral AI guinea pig Boo Boo, and the implications of AI-driven pet monitoring.

The conversation explores how AI is improving veterinary diagnostics, the challenges of building AI models, and the unexpected costs of running AI startups. If you’re curious about AI in pet healthcare, robotic pets, or the technical realities of AI adoption, this episode is for you!

Time Stamps

00:00 – How AI is transforming pet healthcare

01:11 – What is Fetch and how does AI improve pet insurance?

06:00 – The rise of AI-powered robotic pets like Boo Boo

13:29 – AI-powered pet monitoring: Useful or dystopian?

16:11 – Can AI detect pet emotions and health issues?

30:23 – The biggest challenge in AI: Handling unstructured vet records

34:57 – Why PDFs are AI’s worst nightmare in pet insurance

38:42 – The real cost of AI: Jing’s accidental $1,000 cloud bill

39:35 – Fetch’s expansion plans: Taking AI-powered pet insurance global

46:04 – Why pet owners should brush their pet’s teeth to avoid massive vet bills

Resources Mentioned

- Fetch: InsurTech startup focused on pet insurance, utilising AI to streamline claims.

- Google AI Accelerator: Program where Jing Wei refined her AI implementation skills.

- Archive: Platform for non-peer-reviewed research papers, commonly used to find the latest AI research.

- Hangzhou Genmo Technology: Company that produced the AI guinea pig called Boo Boo.

- Tably: An app that reads cat facial cues to assess their emotions and health.

- OCR (Optical Character Recognition): Technology used for text extraction from images and documents.

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Episode Summary

In this episode of In the Blink of AI, host Georgie Healy sits down with Danielle Haj-Moussa, an investor at Main Sequence, Australia’s largest deep-tech VC fund. As the first VC guest on the podcast, Danielle offers a rare inside look into what investors are really looking for in AI startups, how scaling laws are shaping the future of AI, and whether we are in an AI bubble.

She dives deep into the intersection of AI and robotics, how foundational AI models are impacting real-world applications, and why Australian founders are uniquely positioned to thrive in deep tech. Danielle also shares her thoughts on AGI, AI bias, and compute efficiency, plus an unexpected insight into why so many deep-tech VCs are also DJs!

If you’re a founder, investor, or just someone who wants to understand how AI startups succeed, this episode is packed with valuable insights.

Time Stamps

00:00 Scaling Laws & AI's Constant Evolution

04:05 What Makes Deep-Tech VC Different?

07:25 AI and Robotics: The Next Big Leap

09:58 Is the AI Boom a Bubble?

14:49 How to Spot a True AI Bubble

18:25 Scaling Laws: Why They Matter (and Their Limits)

21:47 The Future of Compute and AI Infrastructure

27:37 What Investors Look for in AI Startups

30:09 Can AI Startups Compete with Tech Giants?

39:38 The AI Job Market: Will AI Replace or Create Jobs?

44:44 AGI: Should We Be Freaked Out?

48:19 The Regulatory Landscape for AI Startups

51:11 VC Myths: Are Investors Just Vulture Capitalists?

Resources Mentioned

1. Main Sequence – Australia’s largest deep-tech VC fund
2. Lovable – AI-powered tool for instant app creation
3. Rekordbox – DJ software used by professionals
4. Danielle Haj-Moussa's Linkedin

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Episode Summary

In this episode of In The Blink of AI, Georgie Healy sits down with Dr. Kevin Cheng, Chief Customer Officer at Harrison AI, one of Australia’s most successful AI startups. Harrison AI is transforming the medical field by developing AI-powered solutions that assist radiologists and pathologists in diagnosing diseases with greater speed and accuracy.

Dr. Cheng shares the real-world impact of AI in healthcare, including a compelling story of how their AI system detected early-stage lung cancer in a UK patient, potentially saving her life. He also dives into the challenges of building AI in healthcare, the role of regulatory frameworks, and the future of consumer-driven healthcare innovations.

The conversation covers AI’s potential to enhance medical workflows, reduce clinician burnout, and increase accessibility to quality healthcare—especially in underserved regions. Kevin also addresses common concerns about AI replacing human doctors and explains why he believes AI will always be an assistive tool rather than a replacement. This episode is a must-listen for anyone interested in the intersection of AI, healthcare, and innovation.

Time Stamps

00:00 AI Detects Early-Stage Lung Cancer: A Life-Saving Moment

00:33 Introduction to Dr. Kevin Cheng & Harrison AI

02:14 How AI is Transforming Radiology and Pathology

03:57 Why Kevin Left Medicine to Join Harrison AI

06:23 The Challenges of Building AI in Healthcare

09:19 Global Regulatory Hurdles and Market Expansion

12:34 How AI Supports, Not Replaces, Doctors

16:40 The Future of AI in Consumer-Driven Healthcare

32:04 Real-World Impact: A Patient’s Life Saved by AI

36:48 The Road Ahead: Scaling AI to Millions of Patients

39:25 Addressing Public Fear and Misinformation About AI

42:27 Can AI Reduce the Cost of Healthcare?

44:30 AI’s Role in Providing Healthcare Access to Underserved Populations

45:25 Will AI Replace Human Doctors? Kevin’s Perspective

46:44 Closing Thoughts and Call to Action

Resources Mentioned

Harrison AI – Australia’s leading AI-powered medical diagnostics company

Annalise.ai – AI-driven radiology platform that assists with X-rays and scans

Franklin.ai – AI system for pathology, improving the accuracy of tissue diagnosis

BBC Interview with Diane – Story of a UK patient whose early-stage lung cancer was detected by AI

FDA & European Regulatory Frameworks – Key differences in AI validation processes

Telehealth & Consumer Health Trends – The shift towards at-home medical diagnostics

Blackbird Ventures – VC firm backing Harrison AI and other Australian startups

Notable Quotes

"In this particular scenario, AI picked up a subtle finding—stage one lung cancer—allowing for immediate treatment. That’s the difference between life and death." — Dr. Kevin Cheng

"AI isn’t replacing doctors. It’s augmenting their ability to diagnose, reducing errors, and giving them a second pair of eyes." — Dr. Kevin Cheng

"Healthcare is evolving. Patients are demanding more access, better efficiency, and AI is making that possible." — Dr. Kevin Cheng

"We have over a thousand sites live today, processing more than seven million cases a year. Our goal? A million cases a day." — Dr. Kevin Cheng

"AI can be a great leveler in healthcare, especially in regions with clinician shortages. The challenge now is making the business model sustainable." — Dr. Kevin Cheng

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Episode Summary

In this groundbreaking episode of In the Blink of AI, Georgie is joined by Daniel Bertram, CEO and co-founder of GigaBuddy, to unpack the breaking news about DeepSeek’s new AI models. Together, they dive deep into the implications of DeepSeek's R1 and V3 reasoning models, NVIDIA's market shake-up, and the broader context of open-source versus closed AI systems. They also explore AI ethics, privacy concerns, and what these developments mean for startups, investors, and everyday users. Whether you're an AI enthusiast or curious about how these technologies impact you, this episode offers invaluable insights.

Time Stamps

00:00 Introduction – DeepSeek news, AI breakthroughs, and Daniel's Australia Day BBQ

02:06 NVIDIA’s stock drop – What happened and the DeepSeek impact

04:45 DeepSeek’s R1 reasoning model – Why it’s revolutionary

07:48 Open-source vs. closed AI models – The Meta and DeepSeek contributions

11:10 NVIDIA’s AI chips – What they are, their role, and the challenges of innovation

15:30 Privacy concerns – Using AI models hosted in China

18:36 TikTok comparisons – National security concerns and data privacy

22:43 DeepSeek vs. OpenAI – Cost efficiency and the future of AI reasoning

28:57 Hyperscalers (Google, Amazon) – Their role in AI advancements

33:34 Ethical implications – Regulations and concerns in the AI space

38:35 GigaBuddy’s AI reasoning system – Building smarter AI-powered solutions

44:50 Closing thoughts – Future of AI reasoning and upcoming episodes

Resources Mentioned

GigaBuddy: Learn about Daniel’s AI startup focusing on reasoning systems

Oracle, OpenAI, and SoftBank’s Stargate Project: Learn about their $500B data center initiative

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Episode Summary

In this episode of In the Blink of AI, host Georgie Healy interviews Jeevika Makani, co-founder of TopRoad and Y Combinator alum. Jeevika explains TopRoad’s mission to democratise AI by helping developers monetise custom GPTs in the OpenAI store. She reveals how “apps” (or GPTs) can offer more specialised functionality than ChatGPT alone, enabling end-to-end user experiences, like e-commerce fulfilment or streamlined travel planning. Jeevika also shares her experiences graduating from Y Combinator, discussing what founders need to succeed and why creating tangible value for users is more important than hype. Finally, she dives into the broader potential of AI, dispelling the notion that we’ve reached “peak” AI. According to Jeevika, the true AI revolution has only just begun.

Time Stamps

00:00 AI’s transformative impact: “We’re living through a knowledge revolution.”

00:37 Introduction: Georgie welcomes Jeevika and introduces TopRoad’s AI mission.

01:47 Origin of TopRoad: Pivoting in Jamaica, discovering the GPT store, and first GPT build.

03:32 Early product insights: Niche GPTs, monetisation gaps, and the developer experience.

05:14 The GPT store’s potential: Encouraging developers to build premium AI apps.

06:24 Y Combinator experience: Why authenticity and scrappiness matter for founders.

09:07 YC insights: Founders' resilience, pitching tips, and networking advantages.

11:45 Exploring TopRoad’s technical approach: Custom GPT actions and real-world examples.

18:07 Developer incentives: Monetisation models, compute costs, and app distribution challenges.

24:26 Democratising AI adoption: Personalised apps, vertical use cases, and user-friendly design.

29:03 Jeevika’s background: Building fintech in Nairobi and lessons for diverse founders.

36:02 Rapid Fire: Overhyped MBAs, favourite AI tools, and Microsoft Copilot skepticism.

41:16 Closing thoughts: AI’s untapped potential, staying optimistic, and TopRoad’s beta apps.

Resources Mentioned

Context Crafter

Description: A tool by TopRoad that connects FAQs or company-specific data to generate highly contextualised responses, streamlining customer support and professional communications like investor updates.

TopRoad’s GPT Builder Tools

Description: Developer tools that enable custom GPT apps with analytics, monetisation options, and marketing features. Designed to be no-code friendly and integrated with the OpenAI GPT store.

Basel III Global Banking Framework

Description: A global standard providing a framework for banking regulation and risk management, referenced for scaling AI apps targeting financial institutions.

Private Apps by TopRoad

Description: Beta tools, including personalised AI apps for writing and contextualised data integrations, created to improve developer productivity and simplify access for non-technical users.

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Episode Summary

In this compelling episode, Georgie Healy interviews Sam Garven, co-founder of Hello Canopy, a revolutionary AI-powered misconduct and psychosocial safety reporting platform. Sam shares her personal journey from experiencing workplace harassment to founding a startup aimed at creating safer workplaces. She discusses Canopy’s mission, the challenges of building an AI product as a non-technical founder, and the unique aspects of the Australian startup ecosystem. Sam also opens up about her experience with the Techstars Accelerator and emphasises the importance of building in public and embracing vulnerability. This episode is packed with insights on leadership, innovation, and resilience.

Timestamps

00:00 Introduction to In the Blink of AI and Sam Garven

00:36 Updates on Canopy’s Rebrand and Progress in 2025

03:05 Overview of Canopy: AI-Driven Misconduct and Safety Reporting

06:44 Sam’s Personal Experiences and Inspiration Behind Canopy

09:04 Becoming a Founder: From HR Expertise to Building a Startup

11:29 Industry Gaps in Misconduct Reporting and Canopy’s Unique Approach

16:31 Sam’s Experience in the Techstars Accelerator Program

21:29 The Importance of Building in Public and Embracing the Cringe

27:21 Challenges of Being a Female Founder in the Australian Startup Ecosystem

33:36 Metrics, Data Validation, and AI’s Role in Canopy’s Product

39:04 Privacy, Data Security, and the Challenges of Sensitive Information

45:16 Sam’s Vision for Canopy’s Future: Global Impact and Diverse Use Cases

47:18 Thoughts on VC Investment and Expanding the Team

49:21 Closing Call to Action: Joining Canopy’s Waitlist and Providing Insights

Notable Quotes

"Building in public is free marketing. Why wouldn’t I take my potential customers and advocates on the journey with me?" – Sam Garven

"We deal in such sensitive information that we can’t afford to break trust and call it a whoopsie." – Sam Garven

"Women are natural super connectors, and that’s a critical skill for building startups." – Sam Garven

"Embrace the cringe. LinkedIn is cringy, but it’s also where you’ll find people who believe the same things you do." – Sam Garven

"On the worst day of someone’s life, Canopy needs to be there to make reporting simple and effective." – Sam Garven

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Episode Summary

In this episode of In the Blink of AI, host Georgie is joined by Alex Valente, co-founder of Redactive and a 2024 Forbes 30 Under 30 honoree, to dive into Forbes' top 10 AI predictions for 2025. Together, they explore bold forecasts, from Meta’s Llama models to the rise of RoboTaxis and consumer-facing AI agents. Alex shares his expertise, breaking down the scaling laws in robotics and biology, the future of autonomous AI, and why safety in AI will dominate the agenda in 2025. Whether you're a tech enthusiast or a casual listener, this episode combines education with entertainment, offering valuable insights into the exciting future of AI.

Time Stamps

00:00 - Introduction: Alex Valente's perspective on technology and job creation.

00:32 - Meet the Guest: Alex Valente, Forbes 30 Under 30 honoree and Redactive co-founder.

03:06 - Meta’s Llama Models: Will they remain open-source or move to a paid model?

07:25 - Scaling Laws: How robotics and biology are the next frontiers.

11:22 - AI Agents: The rise of agents in consumer and enterprise workflows.

15:53 - AI Data Centers in Space: Debunking this bold prediction.

20:23 - Autonomous AI: Addressing fears and misconceptions.

36:42 - RoboTaxis: Market adoption and societal benefits.

45:36 - AI Safety: Why data security is paramount in 2025.

53:03 - Accessible Consumer Robotics: Predictions on household humanoid robots.

58:43 - Final Thoughts: Alex’s own predictions for 2025.

Resources Mentioned

1. Redactive: redactive.ai – Explore their white paper on LLM data security.
2. Forbes Top 10 Predictions for 2025: Insights from the original report.
3. NVIDIA DGX Cloud: Learn about high-performance AI hardware.
4. Tesla Robots: Innovations in consumer robotics from Tesla.
5. Waymo: Google’s RoboTaxi service gaining traction in U.S. cities.
6. DeepSeek AI: China’s leading AI model provider.

Key Takeaways

1. AI Agents in 2025: AI will increasingly become "agentic," autonomously completing tasks on behalf of users.
2. Scaling Beyond Text: AI’s scaling laws will expand into robotics and biology, enabling breakthroughs in these fields.
3. RoboTaxis’ Big Leap: Self-driving taxis will gain significant market share in major U.S. cities, driven by safety and convenience.
4. AI Safety Challenges: Companies must address data security vulnerabilities as AI agents become integral to workflows.
5. Consumer Robotics: Affordable humanoid robots for household tasks may become mainstream by late 2025.
6. China’s Competitive Edge: China is poised to enter the AI market aggressively with cost-efficient models.
7. AI as a Financial Metric: Public companies will be evaluated based on their AI strategy and outcomes.

Notable Quotes

1. “We thought we’d invent robots to do art in our spare time, but instead, we invented robots that do art so we could do household tasks.” — Alex Valente
2. “Technology always increases the number of jobs available. It gets people to do more productive things and ends up creating jobs.” — Alex Valente
3. “AI agents will feel like members of your team, not just tools you use.” — Alex Valente
4. “Scaling laws are one of the worst things to bet against in technology.” — Alex Valente
5. “The IT department will evolve into an HR department for AI agents.” — Alex Valente

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Episode Summary

In this episode of In the Blink of AI, Georgie Healy speaks with Brendan Cervin, CTO at Ideally, a cutting-edge consumer insights platform redefining the research process with AI. IDEALI enables companies to access overnight insights, turning weeks of research into hours, and has quickly become a game-changer for ANZ corporates. Brendan delves into the evolution of market research, the role of AI in creating actionable insights, and the challenges of integrating AI technologies into traditional business processes. From discussing Google Glass to synthetic data, this episode provides an insider’s perspective on the disruptive potential of AI in consumer research.

Time Stamps

00:31 – Introduction to Brendan Cervin and Ideally

01:33 – What is Ideally?

02:30 – Why AI is essential for consumer research

04:05 – Consequences of not using consumer insights in product development

05:53 – Brendan’s thoughts on Google Glass and mismatched technology expectations

07:34 – Moving beyond sentiment analysis to clustering insights

12:56 – Low switching costs in AI platforms and their implications

14:36 – Challenges and potential applications of synthetic data in consumer research

22:48 – How Ideally delivers insights through AI-powered reports

29:42 – Brendan’s vision for Ideally in the next year

32:06 – Brendan’s take on AI’s rapid industry growth

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