EP 14: AI Governance & Risk Management — Protecting Your Business in the Age of AI

EP 19: ChatGPT, Claude, Gemini or Grok? The Honest Answer for Business

Which AI model is actually worth your time and money in 2026, and how do you decide? In Episode 19 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] , ⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ [https://www.linkedin.com/in/llewjury/] do the episode the audience has been asking for: a real, no-benchmarks, no-lab-scores breakdown of the four major frontier AI models. This is not a comparison of leaderboard scores or press releases. It is a practical, values-informed assessment of ChatGPT, Claude, Gemini, and Grok from two people who have all four open on their desktops every day and use them across client work, internal builds, and AI training. The goal is simple: help you make a smarter model decision for your business. Key Highlights * ChatGPT built the market but governance controversies have changed perceptions * Anthropic's run rate now exceeds OpenAI's at thirty billion US annually * Google invented the transformer architecture and remains a far from dark horse * Grok has the fewest guardrails and the most governance risk for Australian businesses * The model is rarely the differentiator; the prompt and the ecosystem are * AI tourism, jumping between models without committing, is a real productivity drain * Your conversation data is stored for thirty days and accessible without a warrant in the US * Choosing a model is a vendor decision, not just a tool decision Tools and Frameworks Mentioned * Granola [https://www.granola.ai⁠] - AI meeting notes tool that records audio locally on your device rather than sending a visible bot into the meeting. Raised a $125 million Series C. * AWS Bedrock Nova Models [https://aws.amazon.com/bedrock⁠] - Amazon's vertically integrated foundation models, referenced for strong agentic workflow performance and on-shore Australian inference options for regulated industries. * LLM Council [https://llmcouncil.com⁠] - A lightweight tool that lets you query multiple AI models simultaneously via plugged-in APIs and compare responses side by side. * Gemma 4 (Google DeepMind) [https://deepmind.google/technologies/gemma⁠] - Google's open source model series, noted as the best US open source model currently available and usable on consumer hardware. * Kimi K2 (Moonshot AI) [https://www.moonshot.ai⁠] - A low-cost thinking model flagged as a practical alternative for high-volume, repetitive workflow tasks where frontier model power is unnecessary. Connect with the Hosts: * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.promptcowboy.ai/], the agentic prompting tool that helps teams build structured, precise prompts before they hit whichever model they are using. Head to promptcowboy.ai and stop leaving results on the table.Produced by ⁠⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/zarich-la-rotta/].⚡

EP 18: AI Inaction - The Real Cost to Your Business and How to Recover

What is it actually costing an organisation to keep having conversations about AI without acting on them? In Episode 18 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] , ⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury [https://www.linkedin.com/in/llewjury/] go after one of the most uncomfortable topics in business right now: the anatomy of AI inaction. From Japan losing the equivalent of $78 billion a year due to stalled modernisation to Australian organisations repeating the same cybersecurity mistakes that defined the last decade, this episode maps out what paralysis actually costs at the business level and what organisations successfully closing the gap are doing differently. No benchmarks, no lab scores, just real patterns from the front line of AI adoption. Key Highlights * Japan lost $78 billion annually from delayed technology modernisation * Analysis paralysis in the boardroom kills AI momentum faster than budget constraints * Accountability is the first governance control most organisations skip * Copilot training in isolation does not constitute an AI strategy * Entry level technology hiring is dropping while AI native graduates go ignored * The best AI talent is already leaving organisations perceived as standing still * Successful recovery starts with one use case, one metric, one owner * The compound return on early AI implementation accelerates faster than most expect Tools and Frameworks Mentioned * Hermes [https://github.com]— A lightweight open source computer use agent, positioned as a more manageable and secure alternative to OpenClaude for organisations considering agentic AI deployments. Available via GitHub at https://github.com * Claude Code [https://claude.ai/code] — Anthropic's terminal based agentic coding tool, used to build and deploy internal platforms directly from the command line. * ISO 27001 [https://www.iso.org/standard/27001]— The international standard for information security management systems, referenced as a benchmark for organisations building credible security and AI governance foundations. * Notifiable Data Breach Scheme [https://www.oaic.gov.au/privacy/notifiable-data-breaches]— Australia's mandatory breach reporting framework under the Privacy Act, used as a case study for the real regulatory consequences of cybersecurity inaction. Connect with the Hosts: * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.promptcowboy.ai/]—the fastest way to turn everyday business into automated workflows. They wrangle the hard stuff so you can focus on what matters. Visit promptcowboy.ai to start saving time today. Produced by ⁠⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/zarich-la-rotta/].⚡

EP 17: Who's Behind Zero Shot - The Founders, the Failures & the AI Journey

What does it actually look like to build an AI business from the inside out? In Episode 17 of Zero Shot⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] , ⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury [https://www.linkedin.com/in/llewjury/] do something they have never done before on this show: they turn the lens on themselves. After 16 episodes covering the tools, the models, the governance debates, and the industry shifts, this is the honest, unscripted account of where both businesses actually came from, what went wrong, what the dayyad-ot- of running an AI consultancy looks like in 2026, and what keeps two founders going when the market does not cooperate. No client stories borrowed for credibility. Just the real version. Key Highlights * James went from performing arts and psychology to AI governance * Llew built and sold two agencies before founding Advancer * Cadent bet big on AI regulation and a ministerial change ended it * IBM Watson cost Llew and his team nearly 50K and barely worked * Fail fast, fail quietly, fail cheaply, fail internally is still the principle * Process mapping from 20 years ago remains the foundation for AI consulting today * The first question to any AI brief is what are you trying to achieve * Proof of value, not proof of concept, is how serious AI adoption starts Tools and Frameworks Mentioned * Advancer [https://advancer.com.au]- Llew Jury's AI agency specialising in workforce capability, AI training, and business transformation. They work directly with leadership teams to cut through the hype and deliver measurable AI adoption outcomes. * Cadent [https://cadent.au] - James Gauci's AI consultancy focused on governance, security, and engineering AI solutions for complex, high stakes industries. From policy design to technical implementation, they help organisations adopt AI responsibly. * ISO 42001 [https://www.iso.org/standard/81230.html]- The international standard for AI management systems, which Cadent built internal tooling around and still uses as a governance framework. * Ethy - Cadent's internal AI governance and compliance tool, built as an ISO 42001 aligned product before the Australian regulatory window closed. Not publicly available. * Swimlane Process Mapping - A whiteboard based business analysis method for mapping actors, processes, and outputs, referenced by Llew as the foundation for every AI engagement. No single link; universally documented across business analysis and management consulting literature. Connect with the Hosts: * ⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * ⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.promptcowboy.ai/]—the fastest way to turn everyday business into automated workflows. They wrangle the hard stuff so you can focus on what matters. Visit promptcowboy.ai to start saving time today. Produced by ⁠⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/zarich-la-rotta/].⚡

EP 16: Synthetic Media - What Image and Video AI Can and Cannot Do for Your Business

What happens when the tools that generate synthetic media become available to anyone with an internet connection? In Episode 16 of Zero Shot⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] , ⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury [https://www.linkedin.com/in/llewjury/] cut through the noise around AI image and video generation to deliver an honest, grounded assessment of what is actually production ready in 2026 and what is still closer to a compelling demo. From the first fully AI generated Super Bowl ads to deepfake security threats hitting boardrooms, this episode maps the real commercial landscape of synthetic media, including where the ROI genuinely lives, what copyright exposure looks like for small and medium businesses, and why brand trust is the variable most organizations are underestimating. Key Highlights * From Super Bowl to $70 weekend projects, synthetic media scale is collapsing fast * The ROI case for visual AI still lives in augmentation, not full replacement * Brand erosion from AI content is slow, invisible, and harder to reverse than a crisis * High trust brands have the most to gain and the most to lose from synthetic media * Copyright provenance in AI generated imagery remains deliberately opaque industry wide * An AI policy with clear definitions of visual and audio content is now a business basic * Deepfake video is now convincing enough to require two factor authentication of human interaction * The businesses winning with synthetic media own high quality content libraries first Tools and Frameworks Mentioned ComfyUI [https://www.comfy.org⁠] — Open source synthetic media pipeline for chaining AI models to generate images, video and audio. Midjourney [https://www.midjourney.com⁠] — AI image generation platform, one of the longest standing tools in the space with commercial licensing options. Kling AI [https://klingai.com⁠](CogVideoX / Kling) — Referenced as a leading video generation model producing production ready outputs at low cost. Adobe Firefly [https://firefly.adobe.com⁠] — Adobe's commercially safe AI image generation tool built into the Creative Cloud ecosystem. Canva AI [https://www.canva.com/ai-image-generator⁠] — AI powered design and image generation built into the Canva platform, flagged as the direction most marketing teams are heading for accessible visual production. Connect with the Hosts: * ⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * ⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * ⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.promptcowboy.ai/]—the fastest way to turn everyday business into automated workflows. They wrangle the hard stuff so you can focus on what matters. Visit promptcowboy.ai to start saving time today. Produced by ⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/zarich-la-rotta/].⚡

EP 15: AGI vs Agentic AI — What Actually Matters for Business in 2026

AGI is the most talked about idea in AI. Agentic AI is the one actually changing businesses right now. What is the difference, and why does it matter for where you invest, what you build, and how you lead? In Episode 15 of ⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] , ⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury [https://www.linkedin.com/in/llewjury/]cut through the AGI hype and get into what is actually happening on the ground in 2026. From workflow automation and agent architecture to context engineering and the real cost of tokens, this is a grounded, practical conversation about agentic AI, what it is, how it works, and why it is the conversation every business leader should be having right now instead of waiting for something that may be decades away. Key Highlights * Agentic AI vs AGI — the definition that actually matters for business * Why every major AI lab has a different AGI timeline and none of them agree * Agentic AI is already automating lead generation, compliance, and content production * How to choose the right model for your agent — reasoning vs tool use * Context engineering — why giving an agent too much information breaks it * The SharePoint Nirvana tip — how to build your first clean agent knowledge base * AGI as a boardroom distraction — the capital being wasted on the wrong horizon * Human AI collaboration — how to measure the augmented wage of your team Tools and Frameworks mentioned in this episode n8n [https://n8n.io] : visual agentic workflow builder: Super AI Singapore [https://superai.com]: AI conference Llew is attending in June. https://superai.com/Sushi Tech Tokyo [https://sushitech-real.metro.tokyo.lg.jp/en/]: major Asia-Pacific technology conference attended by James as part of the Queensland Government trade delegation .Connect with the Hosts: * ⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * ⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * ⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠ [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠ [https://www.promptcowboy.ai/]—the fastest way to turn everyday business into automated workflows. They wrangle the hard stuff so you can focus on what matters. Visit promptcowboy.ai to start saving time today. Produced by ⁠⁠⁠⁠⁠Yennia La Rotta⁠⁠⁠⁠⁠ [https://www.linkedin.com/in/zarich-la-rotta/].⚡