ZERO SHOT - AI & Business. Anti-Hype.

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ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

  1. Aug 30

    Is AI Making Us Smarter or More Dependent? | Human Agency, Trust & AI

    What happens when AI gives us more capability, but less human agency? Recorded live from the Green Room at Something Digital in Brisbane, James Gauci and Llew Jury explore three growing tensions in AI and business: automation versus human agency, bigger systems versus fragile trust, and greater intelligence versus better decision making. They unpack AI dependency, responsible AI adoption, workplace culture, governance and why community and authentic human connection may become more valuable as AI becomes more embedded in organisations. Key Highlights • When AI convenience starts becoming dependency• Why human agency matters in AI adoption• How automation can create unintended business bottlenecks• Why bigger AI systems can create fragile trust• The relationship between AI adoption and workplace culture• Why more intelligence does not guarantee better decisions• How AI governance can support responsible innovation• Why community becomes more valuable in an AI world Tools and Frameworks mentioned in this episode Human Centred AI Design - Designing AI around affected people, stakeholders and real user needs. AI Governance Frameworks - Creating shared definitions, policies and accountability for responsible AI adoption. Stakeholder Impact Assessment - Evaluating how AI systems affect employees, customers and other stakeholders. Explore Qwen⁠ - Alibaba’s open model family discussed as an alternative for running capable AI on your own infrastructure. Explore ElevenLabs⁠ - Voice AI platform used in the Tivoli accessibility experience discussed in the episode. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  2. Aug 23

    AI Anxiety at Work: Will AI Take Your Job? What Leaders Need to Know

    Standing with ColombiaWhat happens when AI uncertainty becomes a business risk? In Episode 31 of ⁠⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury discuss how AI anxiety ⁠is becoming part of the conversation around AI adoption, workplace transformation and leadership. In this episode, James Gauci and Llew Jury explore the behavioural science behind AI anxiety, its relationship with shadow AI, employee trust and resistance, and how organisations can approach AI change without losing human agency. Key Highlights • Why AI anxiety can be understood as business risk• How workplace identity shapes reactions to AI adoption• The connection between AI anxiety and shadow AI• How unmanaged anxiety can influence AI adoption• Why AI generated sameness can affect customer trust• The growing competitive value of authentic human communication• How transparency can strengthen confidence in AI assisted work• The CAM framework for leading through AI uncertainty Tools and Frameworks mentioned in this episode CAM Framework - Communicate, Acknowledge and Maintain Agency when introducing AI change. Introduced in this episode.AI Readiness Assessment - Evaluates employee confidence, capability and concerns before and after AI adoption or training. Claude Opus 5 - Anthropic model discussed for coding and agentic workflows. ChatGPT - Generative AI platform referenced in workplace adoption and training. Something Digital - Brisbane digital innovation festival referenced ahead of the next live episode. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  3. Aug 16

    EP 30: AI as a Decision Partner - Sharpen Your Judgment, Don’t Outsource It

    Every business is thousands of decisions stacked on top of each other. So what actually changes when AI pulls up a seat at the table? In Episode 30 of ⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury move past productivity and into something bigger: how AI is reshaping the way leaders make decisions. When people hear AI decision making, they assume it means AI makes the call, and that is the least interesting and most dangerous use of it. This episode is about using AI as a thinking partner to sharpen a decision, where it can quietly lead you astray through bias and confident errors, and why the decision and the accountability always stay firmly with you. Key Highlights AI as a thinking partner, not the pilot of the decisionUse it to compress the research phase, not replace your judgmentTurn AI into an adversarial analyst to surface your blind spotsHiring done right: crunch the thinking, never outsource the verdictAutomation bias, anchoring, and groupthink are the real trapsWrite your own view down before you let AI speak firstKnow your patch before trusting AI in a domain you don't ownAccountability never transfers to a model, it stays with the human Tools and Frameworks Mentioned Meta Muse Glimmer: Meta's newly released open weight model, benchmarking close to the current Qwen generation and marking their return to open source AI. RCTF Framework (Advancer): Llew's Role, Context, Task, Format prompt structure for briefing AI properly on complex decisions. DMAIC and the Deming Cycle: Classic lean process management frameworks James applies to structured, higher-quality decision making with AI. ⁠⁠Shape the show⁠⁠ Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  4. Aug 9

    EP 29: AI Agents for Business - What They Are and When to Deploy One

    You have probably nodded along in a meeting about autonomous AI agents without being totally sure what one actually is. You are not alone. In Episode 29 of ⁠ ⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠⁠ cut through the most hyped and least understood term in AI right now: the agent. This is the honest, no-jargon picture of what an AI agent really is, how you actually build one, where they earn their keep in a business, and where they quietly fall apart. From the difference between a chatbot, an automation, and a truly autonomous agent, to why roughly forty percent of agent projects get pulled, this episode gives you a clear way to decide what to hand an agent and what to keep a human on. Key Highlights Autonomy is a dial, not a switch, and it defines what makes an agentThe bright line: does it make a plan and use tools on its ownModel plus context, prompt, tools, and memory equals an agentChatbots and automations are often mislabelled as agentsMost failed agent projects die from hype and poor scoping, not techHigh performers gain from AI, low performers can go backwardsBefore you hand over a task, ask how costly it is to catch and fixTreat an agent like an employee, not an experimentTools and Frameworks Mentioned ⁠Claude Cowork⁠ - Anthropic's agentic harness, now available in the browser, that plans and executes multi-step work rather than just answering. ⁠n8n⁠ - Workflow automation builder with new native MCP support and human-in-the-loop approval steps, bridging automation and agentic AI. ⁠Model Context Protocol (MCP)⁠ — The open standard connecting agents to your key data and systems, now supported natively across major automation tools. ⁠Microsoft Azure CLI⁠ - A command line tool used with Claude Code to programmatically build agents and sandbox environments. ⁠OECD⁠ AI System Definition - The framework James uses to scope agents, defining an AI system by its degrees of autonomy and adaptiveness after deployment. ⁠Shape the show⁠ Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  5. Aug 2

    EP 28: Mid-Year AI Tier List 2026 - Who’s Winning, Who’s Falling Behind?

    Six months ago the AI leaderboard looked completely different. So who climbed, who slipped, and who fell off the board entirely? In Episode 28 of ⁠⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury rebuild their AI tier list from scratch, ranking the major model providers across the US, China, and beyond. This is not about telling you which shiny tool to buy. It is about handing you a way to look at any AI company and instantly know whether it is right for your business. They break down the three ways a company can win, enterprise, distribution, and consumer, then rank every major player and close on how to actually choose without chasing the leaderboard. Key Highlights The three ways to win: enterprise, distribution, and consumerAnthropic won enterprise and now leads on valuationGoogle is quietly winning distribution across phones and workspaceChatGPT still owns the consumer market, but the throne is wobblingChinese open weight models now rival the best US frontier modelsCost per task and token spend matter as much as raw capabilityBuild redundancy, never depend on one provider staying switched onMatch the winner to your needs, not the headline S tierThe Full Tier List (July 2026) S Tier: Anthropic (Claude)A Tier: Google (Gemini), OpenAI (ChatGPT / Sol), Moonshot AI (Kimi K3)B Tier: Nvidia, Alibaba (Qwen), Z.ai (GLM 5.2), DeepSeekC Tier: MinimaxSplit decisions: AWS lands at C for Llew, D for James. Microsoft lands at E for Llew, F for James.Dropped off the board: Apple, one to watch for a self-hosted comeback once RAM prices fall. Tools and Frameworks Mentioned Claude by Anthropic - S tier this round, leading enterprise adoption with its agent harness, Opus 5, and Fable 5. Gemini and Gemma 4 (Google) - A tier, strong on distribution, long context, and open weight smaller models. Kimi K3 (Moonshot AI) - A tier, a Fable-class reasoning model available as open weights on Hugging Face. Qwen 3.7 (Alibaba) - B tier, dominant in self-hosting though its top Max model is now closed weight. AWS Bedrock and Nova Models - Referenced for cheap, hardware-optimised inference within the AWS ecosystem. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  6. Jul 26

    EP 27: Inside Fable 5 - How to Actually Use the Most Powerful AI Model Yet

    Most people with access to the most powerful AI model available are using it at about two percent of what it can do. What would you do with the rest? In Episode 27 of ⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ demystify Fable 5, Anthropic's most capable frontier model, and the class of model that now includes OpenAI's Sol and Moonshot's Kimi K3. This is not a hype reel. It is an honest, practical breakdown of what Fable actually unlocks, the finance and consulting work it can now do overnight, why it sometimes overthinks itself into hallucinating, and how to use it responsibly without burning through your token budget in an afternoon. Key Highlights Why Fable is built for persistent, thorough, long-running looping tasksThe mental shift: forget what you assumed AI could not doReal use cases: overnight financial reports that took analysts weeksHigher effort is not always better, max effort can trigger hallucinationCost per task is the metric that now matters mostTop and tail big jobs with a powerful model, workhorse in the middleFable hands off sensitive domains like cybersecurity to Opus 4.8Build redundancy, keep a fallback model ready if Fable goes dark Tools and Frameworks Mentioned Claude Fable 5 - Anthropic's most capable frontier model, built for orchestration, persistence, and deep multi-step work, now available on Max and Teams premium plans. Kimi K3 (Moonshot AI) - A 2.8 trillion parameter open weight model challenging the frontier at roughly eighty percent of the cost, with open weights targeted for release. ChatGPT with Sol 5.6 - OpenAI's flagship high-power model in the Fable class, benchmarked closely against Fable and strong on image generation. Cost Per Task - An emerging evaluation metric comparing dollar cost across models, useful for managing total cost of ownership as token prices climb. RCTF Framework (Ep 26 Zero Shot) - Role, Context, Task, Format prompt structure, essential for getting quality output from a model this powerful. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  7. Jul 19

    EP 26: Prompt Engineering - How to Actually Prompt AI and Stop Getting Average Answers

    Why does AI give some people sharp, useful output and everyone else a generic, average answer? In Episode 26 of ⁠ ⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ go deep on prompt engineering, the skill that separates people getting real value from AI and people quietly disappointed by it. The honest truth is it is almost never the model. The models are astonishing. It is the brief. This episode covers why prompts underperform at a technical level, the four pillars of a strong prompt, and how everything changes when you move from a single prompt to designing the full context environment of an AI agent. Key Highlights Why weak output is a briefing problem, not a model problemHow a prompt reshapes the model's internal landscape of weightsMaking the implicit explicit is now a core professional skillThe four pillars: role, context, task, formatSet the role at world-class level to lift the outputLess context done well beats more context done poorlyThe four parts of an agent brain: short memory, long memory, instructions, knowledgePrompting an agent is continuous improvement, not a one-time writeTools and Frameworks Mentioned RCTF Framework (Advancer) - Llew's prompt structure covering Role, Context, Task, and Format, designed to be printed and reused across a team. ChatGPT Work with Sol - OpenAI's flagship high-power model in its new work mode, reviewed live against Fable 5 for leadership briefing tasks. Hermes - An agent harness that prompts and improves itself between sessions, tuning its own skills and memory as a continuous improvement loop. Retrieval Augmented Generation and Data Lakehouses, The shift from classic RAG toward trusted single-source-of-truth architectures like Snowflake and Databricks for real business context. Shape the show: https://zeroshot.com.au/shape Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

  8. Jul 12

    EP 25: What AI Should Actually Be Doing in Your Business

    How do you tell the difference between a task worth handing to AI and one that should stay human? In Episode 25 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury tackle the decision most businesses get wrong: choosing what to actually point AI at. The instinct is to reach for the shiny, visible task: customer service, the website, email, but that is rarely where the value lives. This episode gives you a practical way to sort any task in your business into three piles: hand it to AI, keep it human, or a bit of both. Five fast triggers to spot the real candidates, seven questions to run each one through, and an honest look at the cost of automating the wrong thing. Key Highlights Why your gut instinct to automate is usually the wrong targetAutomating a broken process just makes bad permanent, fasterFailed early automations burn organizational trust and kill momentumThe five triggers: repeat, sentence, dread, messy input, apologyLet the AI do the dread work, not just the grunt workSeven questions that separate worth it from should weIn regulated sectors, accountability is the governance question that mattersThe should conversation is where the real value lives Tools and Frameworks Mentioned Claude Fable - Anthropic's high-capability model, restored last week in a stripped-back format outside the US, referenced for producing report and website work that would take an analyst weeks. Gemma 4 (Google DeepMind) - Google's open source model, cited as the kind of on-hardware model deployed in high-classification defense settings where public models are not permitted. The REWIRE Framework (Advancer) - Advancer's method for AI transition, moving through Reveal, Envision, and Weave to test viability and feasibility before building. System 1 and System 2 Thinking - Daniel Kahneman's model, referenced by James to frame when to let AI steer a fast call versus when deep human judgment is required. Connect with the Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CEO of Cadent. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Managing Director of Advancer at the AI Agency. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Zero Shot:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prompt Cowboy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, 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.⚡

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About

ZERO SHOT gives leaders clarity on AI without the hype. Hosts James (The Technical Realist) and Llew (The Boardroom Proxy) unpack what truly matters at the intersection of AI, business and strategy in Australia. From sovereign capability to agentic workflows, we break down the decisions shaping the country’s technological future and why they matter for Boards and executives. No noise, no jargon, just grounded insight. James: Chief AI Officer at Cadent | AI Governance & Strategy Executive (Ethical AI) Llew: Managing Director at Advancer | AI Strategy & Digital Produced by Yennia La Rotta.

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