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AI Reliability Videos

Videos about making AI systems dependable through testing, verification, monitoring, recovery, and careful operational boundaries.

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  1. Kristian Fagerlie reviewing a GPT-6 weather trading dashboard on a black background with a tentative performance chart and a no-trade signal.
    GPT-6 Kalshi AI Trading Bot Week 1 Results: Printing Money?
    All About AI11m 7s
  2. Greg Isenberg in an attention-blue top and Michael Shimeles in an off-white top on a black background beside the headline “BUILD A SOFTWARE FACTORY”.
    Building a Software Factory that actually works (Full Course)
    Greg Isenberg31m 29s
  3. Andrew Qu in a light attention-blue T-shirt on a black background beside the headline “AGENTS NEED CONTEXT”.
    How We Solved Agent Building - Andrew Qu, Vercel
    AI Engineer17m 34s
  4. Kay Malcolm in a light attention-blue top on a black background beside the headline “AGENT MEMORY NEEDS DATA”.
    No Memory, No Harness: Why the Database Is the Last Line of Defense - Kay Malcolm, Oracle
    AI Engineer21m 37s
  5. Giselle van Dongen in a plain blue hoodie beside the headline Agents That Recover on a pure black background.
    Building Reliable AI Agents with Durable Execution
    AI Engineer20m 49s
  6. Mike Chambers in a plain blue hoodie beside the headline Build the Harness in blue and true white on a black background.
    Harness Engineering for Production AI Agents
    AI Engineer20m 46s
  7. Jonathan Kelley beside the headline CODE IS CHEAP. QUALITY IS NOT.
    Building ambitious software - Jonathan Kelley, Dioxus Labs & Cognition
    AI Engineer19m 14s
  8. Sam Ramji beside the headline AI Hardware Bottleneck on a black background.
    $7.9 Trillion AI Hardware Boom Stalls at Data Center - Sam Ramji
    MTS16m 25s
  9. Jonathan Gordon explains design-code drift and deterministic checks around AI-generated interfaces.
    The Design-Code Roundtrip That Isn't - Jonathan Gordon, ReWeaver AI
    AI Engineer18m 36s
  10. Daniel McKinnon beside the headline AI Finds Rare Disease Clues on a pure black background.
    Daniel McKinnon Explains AI-Assisted Rare Disease Diagnosis
    MTS26m 58s
  11. Portrait of Laurie Voss with the headline Longer Skills, Reliable Results?
    How long can your skills be before your agent forgets what you told it? - Laurie Voss, Arize AI
    AI Engineer22m 25s
  12. Brandon Waselnuk explaining how organizational context helps AI coding agents work reliably
    Your Agents Lack Context: How to Fix It - Brandon Waselnuk
    AI Engineer14m 9s
  13. Ajay Prakash explaining LinkedIn coding agents, reusable playbooks and progressive context discovery.
    500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents - Ajay Prakash, LinkedIn
    AI Engineer20m 24s
  14. Averi Kitsch and Prerna Kakkar presenting secure build-time and runtime patterns for AI database tools
    Build-Time vs. Run-Time: Why Dev Tools Fail in Production - Averi Kitsch & Prerna Kakkar, Google
    AI Engineer20m 26s
  15. Theo Browne beside the headline PARALLEL CODING AGENTS on a pure black background.
    A Practical Workflow for Parallel Coding Agents
    Theo49m 22s
  16. Nate B Jones beside the headline Own the Agent's Work
    Why Persistent AI Agents Need Clear Ownership
    Nate B Jones27m 35s
  17. The words Desktop Agents Are Not Ready beside a flat cursor and progress illustration
    Why Desktop AI Agents Are Not Ready Yet
    Less Bitter7m 25s
  18. Brent A. Anders beside the headline Make AI Challenge Your Thinking
    Five Ways AI Can Strengthen Critical Thinking
    Sovorel18m 17s
  19. Jack Roberts and Nick Saraev beside the headline Claude Outage Stops Work
    Why Claude Outages Expose AI Dependency
    Stacked Podcast30m 48s
  20. Karan Vaidya beside the headline Agents Need Guardrails
    Why Knowledge Work Agents Need Guardrails
    AI Engineer20m 42s