System Prompt: AI in the real world

System Prompt is a weekly podcast from DevMesh Services about what is actually happening in AI. How models work, where they fit in real businesses, and what changes when software starts reasoning.

Hosted by Val and Peter Green. Plain language. Real systems. No hype.

All episodes

  1. July 15, 2026

    Your Company Bought AI. Why Isn’t Anyone Using It?

    Buying AI tools does not create adoption.

  2. July 8, 2026

    How AI is Transforming Food Discovery with Stupid Good AI

    This week on System Prompt, we had David Leibner on to talk about StupidGood AI.

  3. July 1, 2026

    Enterprise AI Training Is Failing Because Tool Training Is Not Enough

    Enterprise AI education is often reduced to showing employees how to use a chatbot or write better prompts.

  4. June 25, 2026

    What Fable 5’s Removal Reveals About AI Model Dependence

    What happens when a model your workflow depends on is suddenly removed, restricted, or made more expensive?

  5. June 17, 2026

    AI Security Goes Beyond Prompt Injection

    AI systems create attack surfaces that traditional application security does not fully cover.

  6. June 12, 2026

    Model Routing Is the Hidden System Behind Reliable AI Applications

    Most AI applications are not powered by a single model handling every request the same way.

  7. June 3, 2026

    The AI Hardware Shift: When Local Inference Starts Making Business Sense

    AI capability is not determined by models alone.

  8. May 27, 2026

    AI in Regulated Industries: Compliance, Liability, and Innovation with Joe Ewing

    What changes when artificial intelligence enters an industry where mistakes can create legal, financial, or regulatory consequences?

  9. May 20, 2026

    AI-Native Products Still Need Traditional Software Engineering

    What actually makes a product AI-native?

  10. May 13, 2026

    Before You Add AI, Make Sure It Solves the Right Business Problem

    Businesses are being encouraged to add AI everywhere.

  11. May 6, 2026

    Everyone Says “Just Use RAG.” Here’s Why That’s Not Enough

    Retrieval-Augmented Generation is often treated as the default answer whenever an AI system needs access to business data.

  12. April 29, 2026

    Are AI Models Getting Worse, or Are the Economics Catching Up?

    AI models are improving on benchmarks, but many users still feel that the products are becoming less reliable.

  13. April 22, 2026

    AI Ethics Is Not Just About the Model, It Is About How We Use It

    AI ethics is often discussed as if it begins and ends with the model.

  14. April 15, 2026

    Physical AI Is Coming, but It Still Struggles Outside Controlled Environments

    Physical AI brings artificial intelligence out of software and into machines that can see, move, interact, and act in the real world.

  15. April 8, 2026

    AGENTIC CODING IS NOT A TOOL UPGRADE, IT CHANGES THE DEVELOPMENT WORKFLOW

    Agentic coding is changing more than how quickly developers write code.

  16. April 1, 2026

    Are AI Agents Really Taking Jobs, or Changing the Work?

    Are AI agents replacing workers, or are they changing the tasks and responsibilities inside existing jobs?

  17. March 25, 2026

    LOCAL VS. FRONTIER AI MODELS: WHAT SHOULD BUSINESSES ACTUALLY USE?

    Businesses evaluating artificial intelligence are often pushed toward a false choice: use the most powerful frontier model available or run everything locally.

  18. March 19, 2026

    Will AI Agents Replace SaaS, or Change Who Builds Software?

    AI agents are changing more than how businesses use software. They may also change where software gets built, who owns it, and what companies are willing to buy from traditional SaaS vendors.