← Home
This Week in Startups · September 15, 2026 · 19m 23s

90% of AI prototypes never reach production (w/ Temporal's Samar Abbas) | AI Basics

Samar Abbas
Show Notes

Jason Calacanis interviews Temporal co-founder and CEO Samar Abbas about why most AI prototypes never reach production. Abbas argues that the missing piece is not a better model but a durable execution harness that keeps an agent's work secure, recoverable, and interruption-free. He walks through what happens when an agent crashes mid-task and shows Temporal's dashboard for observing agent behavior step by step. The conversation also covers when to graduate an AI agent from laptop demos to production and how agents can be organized into teams.

This summary was generated from show notes and public descriptions, not from a full transcript review. Details may contain inaccuracies.

Novel

•
The AI harness is the missing layer for production agents00:13:02
Abbas says startups need an AI harness, the layer that keeps an agent's work durable, secure, and recoverable when something breaks.
ClaudeChatGPTGemini

Highlights

•
90% of AI prototypes never reach production00:02:12
Samar Abbas argues that 90% of AI prototypes never reach production, and the problem is not the model itself.
ClaudeChatGPTGemini
•
What happens when an agent crashes mid-task00:04:16
When an AI agent crashes mid-task, recovery depends on the harness rather than the model.
ClaudeChatGPTGemini
•
Dashboard visibility into every step an agent takes00:07:00
Abbas walks Jason through Temporal's live dashboard, showing how developers get visibility into what agents are doing at every step.
ClaudeChatGPTGemini

Misc

✧The show notes open with the hook: 'The demo works, the vibes are immaculate, but then the app falls apart the second real users touch it.'
✧Temporal's durable execution platform is used by OpenAI, Stripe, and Netflix.
✧Temporal raised $550M at a $12.55B valuation.
Was this useful?