Ultimate AI Agents Masterclass for Founders & Marketers | Rethinking Marketing with AI Agents
Think School host Ganesh Prasad talks with Kedar, introduced as head of marketing at Kotak Mahindra Bank and formerly at Amazon India, about building multi-agent AI systems for marketing and operations. Kedar explains automation versus agents with a vending machine and a smart employee, demonstrates an agent turning a four-word brief into a credit card creative, and describes the three research layers, the act, reason and memory components, and splitting work into specialised agents under an orchestrator. Coverage comes from approximately the first 50,000 characters of third-party captions of a 63 minute episode, so the customer-support example is only partly covered. Claims about savings, job loss (the intro cites an Anthropic CEO saying half of entry-level jobs will disappear), and agent results are the speakers' statements, not independently verified. This is not employment, financial or legal advice. Captions are automatic with errors. Topics are untimed; metadata follows YouTube. Source: https://youtubetotranscript.com/transcript?v=GtwVwqPiouE
Executive Summary (TL;DR)
Think School host Ganesh Prasad talks with Kedar, introduced as head of marketing at Kotak Mahindra Bank and formerly at Amazon India, about building multi-agent AI systems for marketing and operations. Kedar explains automation versus agents with a vending machine and a smart employee, demonstrates an agent turning a four-word brief into a credit card creative, and describes the three research layers, the act, reason and memory components, and splitting work into specialised agents under an orchestrator. Coverage comes from approximately the first 50,000 characters of third-party captions of a 63 minute episode, so the customer-support example is only partly covered. Claims about savings, job loss (the intro cites an Anthropic CEO saying half of entry-level jobs will disappear), and agent results are the speakers' statements, not independently verified. This is not employment, financial or legal advice. Captions are automatic with errors. Topics are untimed; metadata follows YouTube. Source: https://youtubetotranscript.com/transcript?v=GtwVwqPiouE