Memory and context retrieval at enterprise scale is basically solved
92%+ across 500k files. Our internal tests show that's near the theoretical limit: what's left comes from the nature of the underlying data, not the retrieval
So the bottleneck for company brains isn't the tech anymore, it's how much of your data you actually connect
Larger companies can finally make this work. What's still stopping yours?
(DMs open if you want to see it)
Most company brains fall apart at enterprise scale.
We just took #1 on the EnterpriseRAG-Bench: 92.64% at 500k files.
1.5 years ago I dreamt of us solving AI's memory problem.
Today our brain learns, remembers, and powers the AI transformation for every client.
But a brain is nothing without data. The companies winning are going after 100% token coverage, meaning every doc, thread, and system is visible to the AI.
How much of your company's knowledge can your AI actually see today? ๐
Kudos to @GlebSidora@OjasMor@RHLSTHRM ๐
https://t.co/uayt2mxcEx
@weskaizen@trq212 Handoffs with the agent (between you and the agent, or between subagents) or handoffs from one agent to another agent platform?
I test and use a lot of agent tools so I do both
As a power user whoโs tested almost all the leading agents, and a long time power user of Claude, you can bet Iโll be running this through the tests
Looking forward to trying it out, would love a bump on the waitlist @trq212 ๐
Weโre opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
No matter how tired or sleep deprived I am, I ALWAYS feel better after a gym session
Even if I donโt want to gym, I just put on the right tunes and start moving, next thing I know Iโm tossing weights around like normal