Introduction
In the early days of large language models (LLMs), crafting the perfect prompt was everything. Then came “context engineering”—feeding models extra documents, database dumps, and system messages to keep them on track. While these approaches powered demos and small proofs of concept, they buckle under real-world complexity. Underlabs Inc’s Apposphere flips the script: we…
