Orchestrating the AI Product: Coordinating Data, Agents, and Context Engineering

​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