[monkeydust]

I have recently found myself drawing parallels between deep research and knowledge working org structures.

For example,board exec asks senior exec a question about a particular product. The senior exec then has to fire off emails to say 5 managers, who might go down their tree to ICs, all the info is gathered and synthesised into a response.

Normally this response takes into account some angle the senior exec might have.

A lot of knowledge working tasks follow this pattern that I have somewhat simplified.

[yuhongsun]

Yup, hopefully with Onyx, the folks who have these questions can just fire off a query with agent mode turned on and the LLM will research the relevant tree of knowledge and come back with an answer in the fraction of the time it would take for people to do it with all of the handoffs in between.

[monkeydust]

Yes. I suspect it won't, right now, be as good a response but where time or cost matters an 80% effective response in 10% of the time it would have taken or say 5% of cost (if you were to 'dollarize' worker effort) would present useful options to those asking.