The Killer Use Case Podcast

In this conversation, Patryk Laurent, CEO of Scenera, discusses how the company uses edge-based video AI to improve safety, security, and building operations in commercial real estate. He explains how Scenera turns existing cameras into intelligent sensors that can detect events such as falls, loitering, fence climbing, unattended objects, and spills without relying on constant video streaming to the cloud. The discussion also covers edge computing, privacy, AI model tuning, event-based foundational models, low-energy AI, neuromorphic hardware, and the future of smarter, more private IoT systems.TakeawaysScenera provides a cloud-managed edge AI platform for safety, security, and building intelligence.The system uses existing cameras to detect important events and send real-time alerts.Edge processing helps reduce the need to stream full video feeds to the cloud.Video AI can identify events such as falls, loitering, fence climbing, and unattended objects.Pose detection can help identify human actions while protecting personal identity.Scenera uses analytics to find trends across time, weather, traffic, and building activity.The company fine-tunes models for specific buildings to improve accuracy.Scenera is developing an event-based foundational model for reasoning about activity in physical spaces.Low-energy AI and neuromorphic hardware could move more intelligence directly into cameras.Privacy will be central to the future of camera-based sensors and IoT systems.Today's guest, Patryk Laurent, can be found at:Website: https://pakl.net/LinkedIn: https://www.linkedin.com/in/patryk-laurentYour host, Hunter Jensen, can be found online at:Website: https://www.barefootsolutions.com/LinkedIn: https://www.linkedin.com/in/hunterjensen/KeywordsEdge AI, Video AI, Computer Vision, Smart Cameras, Building Operations, Commercial Real Estate, Safety, Security, Fall Detection, Loitering Detection, Object Detection, Pose Detection, Data Lake, Edge Computing, Cloud Managed Edge Platform, Azure, IoT Edge, MLflow, Foundational Models, Event-Based AI, Neuromorphic Hardware, Low-Energy AI, Internet of Things, Privacy, Smart Buildings

In this wide-ranging technical discussion, founders and operators across consulting, logistics, and software development compare how agentic AI is reshaping the way they build software, run operations, and structure daily work. The conversation explores a shift from traditional SaaS tools to rapidly built internal applications powered by LLMs, including ephemeral apps, workflow automation, and agent-driven DevOps pipelines. A major theme is the emergence of persistent memory systems and context management strategies that allow AI agents to operate more effectively over time. The participants also examine the tradeoffs of speed versus control, including security isolation, prompt injection risks, and the growing need for production hardening as “vibe-coded” tools move toward real-world deployment. Along the way, they highlight both the productivity gains and psychological intensity of working in highly agentic, always-on AI environments.TakeawaysAgentic AI has made it possible to build functional internal tools in hours instead of weeks or months.Many SaaS products are being replaced by quickly built, purpose-specific internal applications.Latency in LLM interactions is a major bottleneck, driving demand for faster, more local, or embedded solutions.Speech-to-text integrated directly into workflows can dramatically increase interaction speed with AI systems.Persistent memory is a key unlock, enabling agents to retain and reuse context across sessions.Structuring memory into topics or organized files improves reliability and reduces context confusion.Running multiple subagents in parallel enables high throughput but increases cognitive and coordination load.Slack-based or chat-based environments are emerging as operational layers for agent collaboration.Security isolation is critical, especially around credentials, email access, and prompt injection risks.“Vibe coding” accelerates prototyping but creates a growing need for dedicated production hardening and QA processes.Today's guests can be found at:Greg Moser:Website: https://www.shipcalm.com/LinkedIn: https://www.linkedin.com/in/gregmoser/Scott Turman: Website: https://scottturman.com/, https://brightray.com/LinkedIn: https://www.linkedin.com/in/scottturman/IMDb: https://www.imdb.com/name/nm14602682/Your host, Hunter Jensen, can be found online at:Website: https://www.barefootsolutions.com/LinkedIn:https://www.linkedin.com/in/hunterjensen/Keywordsagentic AI, large language models, persistent memory, context management, speech to text, workflow automation, subagents, DevOps automation, SaaS disruption, internal tools, software development, orchestration, Slack workflows, AI collaboration, security isolation, prompt injection, cloud deployment, Azure, Google Cloud, QA testing, product hardening, vibe coding, automation systems, latency optimization, enterprise AI systems

In this episode, Scott Turman, CEO of BrightRay Publishing, shares his journey as a serial entrepreneur and explains how his company blends traditional publishing with modern AI-driven workflows. The conversation explores how large language models are transforming sales, marketing, and research processes, enabling massive scale while simultaneously creating challenges around trust and authenticity. Scott outlines how BrightRay uses AI for data aggregation, outreach personalization, and media targeting, while deliberately rejecting AI-generated writing in favor of human-authored content. The discussion highlights a growing tension between automation and authenticity, the saturation of digital channels, and why returning to high-touch strategies like direct mail and real human interaction may be the key to standing out in an AI-saturated world.TakeawaysBrightRay Publishing was born from a collaborative book-writing process that evolved into a scalable business model.AI has significantly improved research and personalization through automated dossier generation and data aggregation.Tasks that once required teams of researchers can now be scaled to thousands of prospects per day using AI workflows.Overuse of AI in outreach has led to declining trust, as highly personalized messages are often assumed to be automated.Saturation of digital channels is pushing marketers back toward traditional methods like direct mail and physical books.BrightRay enforces a strict no-AI policy for writing book content, prioritizing human authenticity and narrative quality.AI struggles with long-form storytelling, making human-written content more valuable in publishing.Advanced AI agents are transforming PR workflows by matching book themes with relevant journalists at scale.Media outreach success increasingly depends on combining AI insights with real human interaction and relationship-building.The future of business communication will hinge on authenticity, as audiences and platforms push back against AI-generated “slop.”Today's guest, Scott Turman, can be found at:Website: https://scottturman.com/, https://brightray.com/LinkedIn: https://www.linkedin.com/in/scottturman/IMDb: https://www.imdb.com/name/nm14602682/ Your host, Hunter Jensen, can be found online at:Website: https://www.barefootsolutions.com/LinkedIn:https://www.linkedin.com/in/hunterjensen/KeywordsAI, large language models, publishing, book writing, marketing strategy, personalization, automation, authenticity, direct mail, PR strategy, media outreach, content creation, workflow automation, data research, sales outreach, digital marketing, AI tools, human connection

In this episode, Gerry Widmer, CEO of FIDUS Advisor, joins the podcast to discuss his roll up the sleeves approach to business turnarounds and executive consulting. The conversation centers on the necessity of building a culture of sales and financial transparency to drive organizational growth. Widmer also provides a deep dive into the second wave of AI, explaining why CEOs must move beyond fear to lead deliberate adoption and training for their teams. From the evolution of vibe coding and legal automation to the total disruption of the lean startup model, this discussion explores how modern technology is shifting the economics of software development and market discovery.TakeawaysA culture of sales requires every employee to understand the company's financial goals and how their role impacts them.Business turnarounds usually involve solving problems related to people, processes, and profit.Communication is the foundation of a winning team, a lesson Widmer carries from his background in high level soccer.AI adoption within a company fails when it is driven by fear rather than a deliberate, top down culture.Leaders must invest in training to reduce the frustration that often prevents employees from adopting new tools.The return on investment for AI is directly tied to the percentage of the workforce that successfully integrates it.Vibe coding and vibe lawyering are disrupting traditional business models in engineering and legal services.Modern AI tools allow for the creation of complex financial models and legal documents in a fraction of the usual time.The concept of the Minimum Viable Product is changing because AI makes it affordable to build and test multiple versions of a product.Conventional startup wisdom is being challenged by the ability to adapt technology to multiple markets simultaneously.Today's guest, Gerry Widmer, can be found at:Website: https://www.fidusadvisor.com/LinkedIn: https://www.linkedin.com/in/gerrywidmer/ Your host, Hunter Jensen, can be found online at:Website: https://hunterjensen.co/LinkedIn:https://www.linkedin.com/in/hunterjensen/Facebook: https://www.facebook.com/hunterjensenTwitter: https://x.com/hunterjensenKeywordsAI, Artificial Intelligence, Business Turnaround, Culture of Sales, Financial Transparency, SaaS, Startups, Lean Startup, MVP, Vibe Coding, Leadership, CEO Strategy, Customer Discovery, Technology Adoption, Consulting, Growth Strategy, Software Development, Automation, Market Fit, Efficiency