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. 3d ago

    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.⚡

  2. 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.⚡

  3. Jul 5

    EP 24: Process Automation with AI Agents - How to Think Before You Build

    What actually changed between the automations businesses built ten years ago and the AI agents being built today? In Episode 24 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury go back to first principles on process automation. They trace the shift from rigid, rules-based workflows to AI agents that reason over messy, unstructured data, and unpack what that unlocks for automation, autonomy, and agentic workflows inside real organisations, including regulated and compliance heavy sectors. It is a durable mental model for deciding what to build and when, not a tool tour that dates in six months. Key Highlights Automation no longer requires structured data to be usefulDeterministic rules have given way to systems that reasonAutomation and autonomy are different capabilities that nest togetherData lakehouses feed agents directly through MCP connectionsReal time finance agents end month end reconciliation waitsRegulated sectors can build sovereign, onshore, fully controlled AIThe four Ps framework leaves tool selection until lastStart with the messiest high value process first Tools and Frameworks mentioned in this episode OpenWhispr, open source dictation that runs speech models locally with no data egress. Model Context Protocol (MCP), the open standard for connecting agents to data sources like lakehouses. Microsoft 365 Copilot Cowork, the agentic layer inside Copilot for scheduled, delegated work. Data lakehouse architecture, the blended structured and unstructured data foundation agents feed on. Widely documented across major cloud platforms.The Four Ps, Llew's sequence of problem, people, process, then product for automation projects. A working framework from 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.⚡

  4. Jun 27

    EP 23: Beyond Automation: AI and the Future of Creative Work with Ben Cooper, R/GA

    What if the way most people are using AI is actually the lowest value thing it can do? In Episode 23 of ⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury sit down with their second-ever guest, Ben Cooper, Global Executive Director of AI Products at R/GA and one of Australia's most original applied AI builders. From the world's first AI shark detection system to brand context protocols that make companies machine-readable, Ben shares a genuinely contrarian view: that the real value of AI is not generating faster and cheaper, but treating intelligence as a raw material you build with. This is an honest conversation about what survives contact with a real client, how creative work is priced and protected, and the human reckoning underneath the whole AI debate. Key Highlights Why treating intelligence as a material beats treating it as a tool68 percent of brands now receive zero click trafficLarge language models trust reviews and reputation over marketing speakSetting up AI to push back on you produces better outcomesTime, tools, and tokens are the new pricing variablesTangible demos make ideas unstoppable in the client roomThe backlash against AI is a needed correction, not just noisePersonal agency, not the tool, is what takes you somewhereTools and Frameworks Mentioned NotebookLM: Google's context-building tool for organising and connecting knowledge across projectsPerplexity: AI-powered search and news discovery platform, personalised by topic and interestElevenLabs: Voice AI platform used to train, license and scale branded voiceover at the production levelGrok: xAI's model with native access to X (Twitter) data, useful for real-time knowledge miningSchema and Markdown Files: Foundational web standards that make a brand machine-readable and discoverable inside answer engines. 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. Jun 21

    EP 22: Frameworks for Using AI Right - The Questions to Ask Before You Start

    What are the questions worth asking before you trust AI with anything important in your business? In Episode 22 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury lay out the practical frameworks they wish someone had handed them when they started: the questions to ask before you choose a tool, before you trust an output, and before you scale AI across an organisation. Broken into three clear acts, before you start, before you trust, and before you scale, this episode is a working checklist for making AI decisions that protect your business, your data, and your customer relationships. Honest, specific, and grounded in real consulting experience across regulated and high-stakes sectors. Key Highlights Start with the problem, not the tool or the modelOnly two to five percent of businesses are doing real AITool choice matters less than people, process, and data alignmentTurning off model training is the first trust stepData hosted in Australia can still be subject to US lawGovernance done right is a value driver, not a costAccountability across the team costs almost nothing to implementPick any decision making framework, the act of choosing matters mostTools and Frameworks Mentioned Open Whisper: Free, open source dictation tool that runs the model locally on your device, keeping sensitive audio off the cloud. Excalidraw: Collaborative virtual whiteboard for diagrams and mind mapping, with an MCP connector that lets Claude design directly into the canvas. ISO 42001: The international standard for AI management systems, referenced as a practical starting framework for businesses building AI governance. National AI Centre Frameworks: Australian government resources and policies offering free, credible starting points for small businesses building AI governance and usage policies. NextDC: Australian data centre operator referenced in the discussion on data sovereignty and onshore hosting for sensitive workloads. 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. Jun 14

    EP 21: AI in Your Day - The Unglamorous Workflows That Actually Save Hours

    How many times did you actually use AI yesterday, and did any of it save you real time? In Episode 21 of ⁠Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury⁠ pull back the curtain on their own daily AI workflows: the boring, unglamorous, hour-saving habits that rarely make it into the headlines. From doing email entirely by voice to automated morning client briefings to turning accounting software into an on-demand CFO, this episode is a practical look at what AI in a real working day actually looks like in 2026. Recorded with a live update from the Super AI conference in Singapore, it closes on the one high-value AI application almost nobody in a corporate role is using yet. Key Highlights 75% of knowledge workers use AI, but only 36% save real timeDoing email by voice can turn two hours into twenty minutesAutomated morning briefings handle client prep before 6 amConnecting Claude Code to accounting software produces CFO grade financial reportsMicrosoft Copilot's Frontier agent setting unlocks Anthropic models inside the stackConnectors and skills are the biggest unlock for busy Claude usersThe shift from T-shaped to square-shaped generalists is already hereKnowing what good looks like is the skill AI cannot replaceTools and Frameworks Mentioned Granola: AI meeting notes tool that records audio locally and feeds notes into other AI workflows for summaries and content. Wispr Flow: Voice dictation tool that runs your speech through an LLM to clean up grammar and misheard words before sending to your AI of choice. Microsoft Copilot Cowork: The agentic layer inside Microsoft Copilot, activated via the Frontier program, that orchestrates across Outlook, SharePoint, and OneDrive. Claude Connectors and Skills: Claude's customisation features for hooking up business systems like 365, Gmail, CRMs, and QuickBooks, and building a reusable skills library. Model Context Protocol (MCP): The open standard that lets tools like Claude Code connect deeply to systems such as Xero via CLI, accessing far more than standard connectors allow. 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. Jun 6

    EP 20: How AI Memory Actually Works - Context, Data Sovereignty, and What Your AI Is Remembering

    What is your AI actually storing about you, and where does that information live? In Episode 20 of Zero Shot⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ , ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury go under the hood of one of the most misunderstood features in AI today: memory. From why AI systems seem to forget things mid-conversation to the difference between context windows, persistent memory, and projects, this episode breaks down how memory actually works across the major platforms and what the implications are for businesses handling sensitive data. This is a practical, no-jargon guide to understanding and managing the memory layer of your AI tools. Key Highlights Context windows determine how much an AI reliably remembers per sessionGoogle was first to release a million token context window, changing agentic tasksPersistent memory is a text file updated by the model, not human-like recallData stored in US-based AI tools can be accessed by US law enforcement without a warrantJames keeps memory turned off in Claude for deliberate security reasonsOne project per context area eliminates most mixing and confusion problemsMemory portability between platforms is becoming a competitive differentiatorContext engineering is emerging as a new field built on decades of data governanceTools and Frameworks Mentioned Claude Projects - A persistent context feature inside Claude that lets users build dedicated memory, files, and instructions per topic or client. Available inside the Claude app and web interface. Beelink Mini PCs - Chinese mini PC manufacturer producing local AI hardware for running open source models offline, referenced as part of the emerging consumer agentic hardware culture. Micro AGI - German startup offering a free home cleaning service funded by harvesting in-home behavioral data via head-mounted cameras for frontier model training. Referenced as an example of extreme data collection tradeoffs. GDPR (General Data Protection Regulation) - EU regulation giving individuals the legal right to request deletion of their personal data from any company operating in Europe, including major AI frontier labs. 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. May 30

    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 , ⁠⁠⁠⁠⁠⁠⁠⁠⁠James Gauci⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Llew Jury ⁠ 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 perceptionsAnthropic's run rate now exceeds OpenAI's at thirty billion US annuallyGoogle invented the transformer architecture and remains a far from dark horseGrok has the fewest guardrails and the most governance risk for Australian businessesThe model is rarely the differentiator; the prompt and the ecosystem areAI tourism, jumping between models without committing, is a real productivity drainYour conversation data is stored for thirty days and accessible without a warrant in the USChoosing a model is a vendor decision, not just a tool decisionTools and Frameworks Mentioned Granola - 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 - Amazon's vertically integrated foundation models, referenced for strong agentic workflow performance and on-shore Australian inference options for regulated industries. LLM Council - 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) - 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) - 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:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 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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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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