Episode 11: From Prompt to Product AI with OriginAI CEO
This episode explores how Generative AI is transforming application development, making it faster, more accessible, and more modular. We focus on how platforms like Origin AI are helping founders and product leaders move from idea to working application logic using natural language and structured prompts.
Timestamps
00:00Introduction & Context Setting05:30The Challenge of Contextual Awareness in AI Agents12:00Building Intelligent Agents: Managing Data Flows and Security18:45Compliance as a Key to Secure AI Code Generation26:30The Power of Agent-to-Agent Monitoring for Compliance33:00Domain Expertise & Guardrails: Essential for Reliable AI Outputs40:15SaaS Principles Applied to Agentic AI Security46:00AI Agents Surpassing Human Compliance Checks52:00Fun Prompt Tricks: Are You Sure? and Beyond56:00Checking AI's Sources: Avoiding Hallucinations59:30Best Practices for Using AI with New Technologies1:03:30Closing ThoughtsRelated Episodes
Episode 34: How to Govern & Monetize Agentic AI | DataRobot Agent Workforce Platform
Romi Datta, VP and Head of Product Management at DataRobot, explains why enterprise AI is moving past chatbots and copilots toward full agent workforces, and why 95% of agentic AI pilots still fail to deliver measurable ROI. He walks through production use cases from insurance claims processing to industrial safety at Chevron (with NVIDIA edge AI), then breaks down the governance, observability, secure context management, and agent memory an enterprise platform needs to run agents in cloud, hybrid, on-prem, and air-gapped environments.
Episode 17: Agentic Architectures: Building AI Apps that Think and Scale
AI applications are evolving from simple prompt-driven tools into agentic systems, intelligent applications that can reason, act, and adapt. But as builders race to bring these apps to market, the same questions keep coming up: What should we build ourselves? What should we leverage from the ecosystem? And how do we operate these apps as a managed service at scale? In this session, our guests unpack the architectural patterns, design choices, and deployment models shaping the next wave of agentic innovation. From front-end frameworks like Vercel + Next.js, to AWS-native AI services, to control planes that automate everything between, this is a blueprint for taking your Agentic App from prototype to managed platform.
Episode 36: Removing Data Consistency Bottlenecks : Building High Margin Scalable AI Business on Cloud
Joe McCunney, CEO of Scalar Labs, makes the case that reliable, consistent data across environments is the hidden bottleneck for enterprise AI, especially in large organizations juggling 300+ database types. He explains how ScalarDB acts as a database-agnostic binder that connects multiple data sources and treats them as a single database, and how the company's open source refactoring agent generates architecture docs and migration plans that cut enterprise design time by up to 85%.