The 2025 AI Shift: From Chat to Task Completion & Reliable Action

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Chain of Thought

Conor Bronsdon

45 episodes

1 week ago

Host Conor Bronsdon explores artificial intelligence through conversations with the founders, engineers, and researchers building breakthrough AI systems. Each episode examines AI infrastructure, machine learning strategy, and emerging technologies, translating technical depth into insights for both builders and decision-makers. Whether you're developing AI applications, leading engineering teams, or making strategic business bets on the future of technology, Chain of Thought helps you identify the patterns that matter. New episodes monthly.

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The 2025 AI Shift: From Chat to Task Completion & Reliable Action | Galileo Founders

Chain of Thought

44 minutes 41 seconds

6 months ago

The 2025 AI Shift: From Chat to Task Completion & Reliable Action | Galileo Founders

AI in 2025 promises intelligent action, not just smarter chat. But are enterprises prepared for the agentic shift and the complex reliability hurdles it brings?

Join Conor Bronsdon on Chain of Thought with fellow co-hosts and Galileo co-founders, Vikram Chatterji (CEO) and Atindriyo Sanyal (CTO), as they explore this pivotal transformation. They discuss how generative AI is evolving from a simple tool into a powerful engine for enterprise task automation, a significant advance driving the pursuit of substantial ROI. This shift is also fueling what Vikram observes as a "gold rush" for middleware and frameworks, alongside healthy skepticism about making widespread agentic task completion a practical reality.

As these AI systems grow into highly complex, compound structures—often incorporating multimodal inputs and multi-agent designs—Vikram and Atin address the critical challenges around debugging, achieving reliability, and solving the profound measurement problem. They share Galileo's vision for an AI reliability platform designed to tame these intricate systems through robust guardrailing, advanced metric engines like Luna, and actionable developer insights. Tune in to understand how the industry is moving beyond point-in-time evaluations to continuous AI reliability, crucial for building trustworthy, high-performing AI applications at scale.

Chapters

00:00 Welcome and Introductions

01:05 Generative AI and Task Completion

02:13 Middleware and Orchestration Systems

03:17 Enterprise Adoption and Challenges

05:55 Multimodal AI and Future Plans

08:37 AI Reliability and Evaluation

11:08 Complex AI Systems and Developer Challenges

13:45 Galileo's Vision and Product Roadmap

18:59 Modern AI Evaluation Agents

20:10 Galileo's Powerful SDK and Tools

21:24 The Importance of Observability and Robust Testing