GPT-6 Astra tip: put Jev in front of the vault as the decision layer
A GPT-6 Astra tip: once a second brain reaches a few hundred notes, stop letting the main model decide what to read and put Jev in front of the vault as the decision layer.
gpt-6 astra tip: once your second brain hits a few hundred notes, stop letting the main model decide what to read put jev in front of the vault as the decision layer astra still writes the notes. jev handles the small decisions that happen hundreds or thousands of times: → is this new note a duplicate? → does it revise something older? → which 3–5 files are actually relevant? → is this current context or just history? → does the vault know the answer at all? one memory rebuild went from 40% correct retrieval to 96%. reading dropped from roughly 21,000 tokens per question to 1,200 while the underlying notes stayed the same. > code filters obvious cases for free > jev scores, routes and reranks > astra reads only the surviving sections > human review catches the uncertain decisions there’s also a promotion gate before raw observations become permanent memory. jev checks 3 things first: 1. is the claim actually supported by the source? 2. did the scope stay the same? 3. does it conflict with an existing memory? clear passes move through. clear failures get rejected. everything in the middle waits for review. then use the same pattern on retrieval: > question > cheap search > jev picks the files > jev picks the sections > stop when evidence is enough > astra writes the answer jev-mem used this split and built memory in 158 seconds instead of 1,044. answer time dropped from 1.47s to 0.93s. the useful move is simple: keep astra for writing and reasoning, push the repetitive routing decisions down to jev.
This post quotes another post: x.com/rewind02/status/2104888148568277164