
Orchestrating the AI Product: Coordinating Data, Agents, and Context Engineering
Description
Learn to build products with compounding output quality, like www.litscenses.ai . This takes tuned coordination over many complex things (domains):* knowledge graphs (data engineering)* agent harnesses (software engineering)* llm workflows / graphs (prompt engineering)* prompt workbenches / evals (context engineering) Yet the art of landing the best product interface relies on a boldness to have taste and a willingness to "build the airplane as you fly it". This is a guide to the art of building the best A.I. products, using the profound inventions that A.I. encompasses:- vibe coding- conversational data / heuristics curation- programmatic decision making - meaning amplification
Highlights
Building AI products with compounding output quality Coordinating knowledge graphs, agent harnesses, and LLM workflows Utilizing prompt workbenches and evaluations Emphasizing the art of product interface design Exploring vibe coding and conversational data curation Implementing programmatic decision making Amplifying meaning through AI Hands-on workshops and real-world applications Networking with AI professionals and enthusiasts Part of Hawaii Tech Week 2026
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