Vicky S.

https://cal.com/vicky-sehrawat/office-hour

Haven't worked with only FullEnrich out of the three, but adding a new tool isn't tough

I run an office hour every Thursday for exactly these types of use cases, if you want to join. https://cal.com/vicky-sehrawat/office-hour

Selecting a CS stack depends a lot on how your other systems are setup. I worked with a big telco company vs a mattress company. They ended up with different stacks because of very different use cases they had.

This is the best description for this role that I have seen. In terms of breaking the first challenge would be how they work with the requirements coming from team members. Two people with the same role might have different preferences and workflows. They need to find balance between business objective and building something that the team actually uses. Data engineering really depends on the use case. For standard best practice things they should be fine without any additional help, but if the underling data itself isn't in great shape then to speed up things a data engineer would be great.

if your notetaker gives you API access to transcripts (which a lot of them don't), then you can get Claude to write a script to pull those transcripts into a folder and then your agents can use them to do anything.

I did for my last company. Did not get that many users so the overhead wasn't worth it for maintaining product for these life time users.