What you'll learn
Offline digest & index creation
How to build digests and indexes ahead of time so agents retrieve smarter, not harder.
Designing for progressive disclosure
Why revealing the right information at the right moment makes or breaks a search experience.
Shaping the agentic tool loop
How indexing and disclosure choices come together to drive an effective tool loop.
Why this topic matters
Agentic search is only as good as the patterns underneath it. This talk covers three patterns that improve agentic search — and how to optimize each one. We'll look at approaches to offline digest and index creation, why progressive disclosure matters when designing a search experience, and how both shape the agentic tool loop.
You'll learn from
Adam Hevenor
CEO and Founder Hevmind
Adam led efforts for AI and search at Aerospike, covering research and development of vector search and graph database offerings. Today he's focused on accelerating the pace of software development by founding Hevmind — a model-first consulting practice and search R&D lab where he helps teams wrangle search infra, write effective evals, and design for agents.
Doug Turnbull
Co-Author AI Powered Search
Trey Grainger
Author AI Powered Search
Trey Grainger is lead author of the book AI-Powered Search (Manning 2025) and founder of Searchkernel, a software consultancy building the next generation of AI-powered search. He also serves as a technical advisor at OpenSource Connections.
He previously served as CTO of Presearch, a decentralized web search engine, and as Chief Algorithms Officer and SVP of Engineering at Lucidworks, a search company whose technology powers hundreds of the world’s leading organizations. Trey is also co-author of the book Solr in Action (Manning 2014), as well as over a dozen other publications including books, journals, and research papers. Trey has 18 years of experience in search and data science focused on building self-learning search platforms integrating the most successful AI Search techniques.
TreyAI-Powered Sea
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