A long-horizon agent stack of jev, Opus 5.5 and GPT-6 Astra
The post claims this combination cuts token consumption by 43.8% and brings latency down to 0.93 seconds, with Astra handling fast routing at $0.10 per million tokens.
jev + opus 5.5 + gpt-6 astra... hard to comprehend why teams still build long-horizon agents without this stack in production, this cuts token burn by 43.8% and drops latency to 0.93s → pre-filter project notes before paying for context → route fast execution to gpt-6 astra at $0.10/M tokens → purge stale records upon code mutation with 98.6% freshness → halt retrieval with adaptive stopping when evidence hits s_d ≥ 0.85 opus 5.5 handles deep reasoning, astra covers high-speed triage, and jev makes every bounded decision before a single token is sampled read the paper and check out the full working note below
This post quotes another post: x.com/marfinxx/status/2103801809428955509