X · by leiro
12 million source updates every six hours
A research pipeline that used to cost over a million dollars.
leiro
@leiroops
the lead engineer at a research company used Jev + GPT-6 Astra to build a system that analyzes 12,000,000 source updates every 6 hours the system processes massive streams of information, a process like this used to cost $1,000,000+, now Jev engineering does it for $200 the first version relied on GPT-6 Astra to interpret every result it worked, but processing millions of routine decisions through a large model created unnecessary latency and huge inference costs then the engineer rebuilt the decision layer around Jev instead of explaining every source, Jev reads the saved task state and decides what should happen next: Research, Write or Review Astra handles the open-ended work: comparing evidence, resolving contradictions and preparing the client brief code controls the queue, permissions, budget, retries and files at the core of this system is the same architecture I break down in the article: Jev routes the work, GPT-6 Astra handles the open-ended tasks, and code keeps the process running continuously the full step-by-step build of a client research process that runs 24/7 is below ↓ would you let AI decide which findings deserve further research?
Sep 24, 2026 · 19 likesOpen on X
leiro relays a build where an engineer used Jev and GPT-6 Astra to analyse 12 million source updates every six hours. Jev reads the saved task state and decides what should happen next, Research, Write or Review, while Astra handles the open-ended work and code controls the queue, permissions, budget and retries. He reports the process now costs $200, against $1,000,000 or more before.
Open the source
