How to Innovate with Search: Habits of Successful Teams, Revisted for the Agentic Era
Why most enterprise AI projects stall, and the five team habits that fix it. A 2018 search innovation playbook, updated with current research on agentic AI.
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Why most enterprise AI projects stall, and the five team habits that fix it. A 2018 search innovation playbook, updated with current research on agentic AI.
Product Ownership is about maximizing value. When the product is relevance the work needs to be prioritized, tracked and executed like any other feature of the product.
Every architectural decision in a search system eventually shows up as a pixel, a state, or a piece of microcopy. Here is what each of the six paths looks like from the user's side of the glass, with the research to back it.
The daily interactions of search establish user behavior patterns setting expectations, criteria for success and expectations of how search and ai should work.
A printmaker pulls a proof, critiques it, and refines the plate. That cycle is the same one every successful AI implementation runs — and an arts education turns out to be an advantage, not a liability, in leading it.
Quick introduction to how to use Coveo webscraping to improve the data experience for user of a Coveo search solution.
A highlevel introduction to vector search as a concept for non technical stakeholders.