One of the many useful use cases for @typesafeai's Jev is building a knowledge base. Non‑frontier‑level models often struggle to locate the right content and context. To solve this, I created a small, local‑first database that: - Combines several search criteria to pinpoint the correct information. - Falls back to Jev when uncertainty remains; Jev returns a matching result. - After approval, reuses the same key phrases and criteria for the next search. This process forms a continuously learning, growing feedback loop.