Nishikant Dhanuka from Prosus Group shares practical lessons on building effective AI agents for e-commerce and productivity. He covers why context engineering is more crucial than prompt tweaking, how to build a modern search pipeline, the failures of pure-chat interfaces, and why a robust evaluation framework is the real competitive advantage.
Experts discuss the Google antitrust verdict's impact on agentic AI, Anthropic's high valuation driven by its coding prowess, and whether the discourse around GPT-5 signals an "AI winter" or a necessary market reality check.
Grant Miller explores the complex and evolving nature of AI agent identities within organizations, posing five critical questions about their classification, governance, and role alongside human employees.
Anant Bhardwaj, CEO of Instabase, presents a pragmatic guide for building enterprise AI. He argues that AI agents are best used during the 'design-time' to create predictable workflows, rather than for autonomous 'runtime' operations. Bhardwaj also debunks the hype around RAG, highlighting its dependency on data quality, and explains why trust in AI systems stems from predictability, not just accuracy.
Will Bryk, co-founder and CEO of Exa, discusses the journey and technology behind building a search engine from scratch, specifically designed for AI systems. He explains why traditional search engines fail in an AI-first world and how Exa's full-stack, compute-heavy approach aims to solve the world's "information blocker" problems.
Ryan Daniels and John Sarihan of Crosby discuss their innovative approach of building an AI-first law firm instead of a traditional legal software company. They detail how integrating lawyers and AI engineers creates a unique feedback loop for automating contract negotiations, moving from billable hours to per-document pricing to achieve deal velocity, and their vision for AI agents that can simulate entire negotiations.