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Dave Pengelley, Richard Webbe and Matt Slager debate one AI assistant versus specialist bots, project context and how to get useful pushback instead of automatic agreement. Dave shows an AI-edited camping Field Notes video and an early career game prototype, alongside discussion of proactive help, model efficiency, second-brain notes and data risks.

Dave, Matt and Richard assess OpenAI's Dev Day through an operator lens, focusing on Dots, pricing and the emerging everything-app strategy. They weigh voice agents, privacy and practical workflows against the need to start with a real business problem.

Dave Pengelley, Richard Webbe and Matt Slager debate data centres, AI risk narratives and JEV's structured-output approach to automation. They then turn to API-first products, MCP access, human-led iteration and fast micro-app builds.

Dave Pengelley and Shawn Hain compare the AI tools in their daily work, from browser agents and cloud environments to multi-model reviews. They examine vendor lock-in, sandboxed client work, long-running agents and the discipline needed to turn AI-assisted building into useful output.

John Ansley, Co-Founder, Board Member and Chief Revenue Officer at Knowby, joins Dave Pengelley, Richard Webbe and Matt Slayga to connect a 1992 Steve Jobs lesson about operational productivity with the challenge of getting ROI from AI. They explore how Knowby turns real work into step-by-step instructions, then discuss process improvement, interfaces and keeping AI context portable.

Dave, Matt and Richard assess OpenAI's Dev Day through an operator lens, focusing on Dots, pricing and the emerging everything-app strategy. They weigh voice agents, privacy and practical workflows against the need to start with a real business problem.

Dave Pengelley, Matt and Richard Webbe explore AI-generated content, human judgement, practical workflows and the question of how Australia approaches AI adoption. They compare voice-led planning, connected tools and classifier-style workflows, ending with a test for whether a new tool solves a real problem.

John Ansley, Co-Founder, Board Member and Chief Revenue Officer at Knowby, joins Dave Pengelley, Richard Webbe and Matt Slayga to connect a 1992 Steve Jobs lesson about operational productivity with the challenge of getting ROI from AI. They explore how Knowby turns real work into step-by-step instructions, then discuss process improvement, interfaces and keeping AI context portable.

Darren Mitchell joins Dave Pengelley, Richard Webbe and Matt to explore AI as an amplifier for customer research and sales work, not a replacement for human judgement. They discuss critical thinking, provenance, deterministic systems and agent-friendly websites.

Annie Vella joins Dave Pengelley, Matt Slayga and Richard Webbe to examine how AI-assisted development changes cognitive load, flow state and accountability. The panel explores supervisory engineering, meaningful productivity measures and the systems thinking required for enterprise AI.

Dave Pengelley, Matt and Richard Webbe explore AI-generated content, human judgement, practical workflows and the question of how Australia approaches AI adoption. They compare voice-led planning, connected tools and classifier-style workflows, ending with a test for whether a new tool solves a real problem.

Dave Pengelley, Richard Webbe and Matt Slager debate data centres, AI risk narratives and JEV's structured-output approach to automation. They then turn to API-first products, MCP access, human-led iteration and fast micro-app builds.

Dave Pengelley and Shawn Hain compare the AI tools in their daily work, from browser agents and cloud environments to multi-model reviews. They examine vendor lock-in, sandboxed client work, long-running agents and the discipline needed to turn AI-assisted building into useful output.

John Ansley, Co-Founder, Board Member and Chief Revenue Officer at Knowby, joins Dave Pengelley, Richard Webbe and Matt Slayga to connect a 1992 Steve Jobs lesson about operational productivity with the challenge of getting ROI from AI. They explore how Knowby turns real work into step-by-step instructions, then discuss process improvement, interfaces and keeping AI context portable.

Dave Pengelley, Richard Webbe and Matt examine whether AI will reshape monolithic software, and why a business-first approach matters when rebuilding systems. They explore agent harnesses, guardrails, progressive disclosure, technical debt and validation practices for production work.

Dave Pengelley, Richard Webbe and Matt Slager debate one AI assistant versus specialist bots, project context and how to get useful pushback instead of automatic agreement. Dave shows an AI-edited camping Field Notes video and an early career game prototype, alongside discussion of proactive help, model efficiency, second-brain notes and data risks.

Dave Pengelley, Richard Webbe and Matt Slager debate data centres, AI risk narratives and JEV's structured-output approach to automation. They then turn to API-first products, MCP access, human-led iteration and fast micro-app builds.

Tony Kirkham joins Dave Pengelley, Richard Webbe and Matt Slager to examine AI-driven cybersecurity, zero trust, observability, identity controls and the enduring value of network fundamentals.

Angus Lee Forbes joins the panel on FWIP (fwip.app): on-device private file tools and a one-off fee after a sketchy e-sign subscription trap. The crew also covers token burn, models that game evals, harness wars versus base models, ownership when agents multiply, and sovereign dependency risk.

Mobile/Telstra friction the morning of the show opens into outage stories, sovereign AI, and Dave's vanished ChatGPT project with Notion as backup. Richard on untested LLM failover in business agents and the backhoe redundancy lesson; Dave on Hermes for the podcast; Matt on observability that acts.

John Ansley, Co-Founder, Board Member and Chief Revenue Officer at Knowby, joins Dave Pengelley, Richard Webbe and Matt Slayga to connect a 1992 Steve Jobs lesson about operational productivity with the challenge of getting ROI from AI. They explore how Knowby turns real work into step-by-step instructions, then discuss process improvement, interfaces and keeping AI context portable.

Annie Vella joins Dave Pengelley, Matt Slayga and Richard Webbe to examine how AI-assisted development changes cognitive load, flow state and accountability. The panel explores supervisory engineering, meaningful productivity measures and the systems thinking required for enterprise AI.

Angus Lee Forbes joins the panel on FWIP (fwip.app): on-device private file tools and a one-off fee after a sketchy e-sign subscription trap. The crew also covers token burn, models that game evals, harness wars versus base models, ownership when agents multiply, and sovereign dependency risk.

Harness guardrails steer LLM answers before the weights do. Episode 24 opens on Richard's LinkedIn pushback on ethical-AI bias narratives, chatgpt.com versus API differences, and self-contained RAG where you only corrupt yourself. Matt's spine: access, audit, and control are becoming the product. News and economics cover GLM 5.2, GPT 5.6 limited preview, Claude Sonnet 5, local hardware growth, token spend comparisons, deterministic workflows versus agent loops, Richard's concentric ring rule, and build-versus-buy on dashboard mirrors and CRM maintenance.

Anthropic pulled Fable five days into its release after a US government escalation over a jailbreak, and the panel reads the rug pull three ways: as hijack marketing (Savio's Indian-cinema parallel), as an iPhone-moment marketing coup (Dave's Apple G4 reference), and as a real safety-versus-export-control fight. The bigger conversation is the two-market split the Fable story made obvious. Individual productivity (Claude CoWork, Hermes, Antigravity, the personal AI OS) is real but is no longer the product. Enterprise, government, and mid-market buyers need a governed, sovereign, decentralised, audit-ready stack, and that is where the margin and the durability live. New guest Savio Francis from StarFCM has been building for that second market for 16 years. His flagship product Theos ships as an AI native environment that sits above the existing OS, lands as a sovereign in-a-box for ISO 27001 and SOC 2 customers, and targets the data-friction and knowledge-friction taxes that the personal AI OS does not even see. Plus: the Fable 72-hour lived-experience, OpenRouter Fusion as the sub-fable multi-model workaround, Cursor being absorbed by SpaceX AI, the cybersecurity time-to-exploit collapse from six weeks to thirty seconds, and the IRL event at the Australian Brewery in Rouse Hill.