90% of AI prototypes never reach production (w/ Temporal's Samar Abbas) | AI Basics
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Today's show: The demo works, the vibes are immaculate, but then the app falls apart the second real users touch it. On today's AI Basics, Temporal co-founder and CEO Samar Abbas says the problem isn't with the model at all. You're missing a harness, the layer that keeps an AI agent's work durable, secure, and recoverable if/when something breaks. Temporal's durable execution platform is used by major companies from OpenAI to Stripe to Netflix, and helps to make their long-running software reliable and interruption-free. On AI Basics, he explains why so many AI-coded prototypes die in the imagineering stage, before ever hitting production. Plus he walks Jason through Temporal's live dashboard, to show how it gives developers full visibility into what their agents are doing at every step. Guest and Relevant Links: Samar Abbas on X: https://x.com/SamarAtTemporal Temporal: https://temporal.io/ Temporal raises $550M at a $12.55B valuation: https://temporal.io/blog/temporal-raises-usd550m-series-e-at-usd12-55b-valuation-ai GeekWire: Samar Abbas on the "massive platform shift" in AI: https://www.geekwire.com/2026/temporal-ceo-samar-abbas-on-the-massive-platform-shift-in-ai-fueling-the-startups-5b-valuation/ Temporal expands Google Cloud partnership: https://temporal.io/blog/temporal-expands-google-cloud-partnership-with-pay-as-you-go-pricing Timestamps: 0:00 Why every startup needs an AI harness 2:12 Why 90% of AI prototypes never reach production 4:16 What happens when an agent crashes mid-task 7:00 A look at Temporal's dashboard 13:02 OK but what is a "harness" exactly? 15:30 When to graduate an agent from laptop to production 17:44 Organizing agents into teams
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