u/Takashikiari

Fresh session.

First message: "Goat" — one word, essentially no semantic retrieval signal.

Second message: "Ce ai notat mă?" — ambiguous, no topic, no keywords.

The prefetch daemon runs as the first step on every turn, before the LLM call, retrieving from episodic memory concurrently with context assembly — independent of what the user said.

Result:

source_tier: episodic

results_found: 15

results_used: 10

tokens_l3: 1533

latency_search: 0.234s

Retrieval was not driven by the semantic content of the query, but by the daemon running proactively on every turn regardless of input.

Raw logs below. No edits.

I'm interested in technical criticism. If you think this would fail under a specific scenario, tell me which one.