I work with small clinics in India — their entire patient "CRM" is WhatsApp scroll-back. Doctor replies "ok do MRI" with no context, patient's son follows up two days later from a different number asking about cost, receptionist forwards a screenshot of the fee chart from another group. That's what one patient thread looks like, and there are hundreds.
Going to try piping a WhatsApp chat export from one of these clinics into CortexDB this weekend. The stuff I want to query is mundane — what was this patient's last X-ray finding, did we already discuss surgery with the family, how many ACL cases did we see this quarter. Stuff the receptionist currently answers from memory or by scrolling for 10 minutes.
The event-sourced approach is what makes this interesting to me over something like Mem0. This data is messy enough that I don't trust any model to extract the right structure at write time. Store the mess, derive views later, re-derive when the model gets better — that feels right for this kind of input.
Will report back.
This problem hits home for me. I’ve been trying to use various AI therapist apps issue is all of them forget about patterns we identified, Many of the personal details I shared about me and any big breakthroughs from earlier sessions and issue has always been AI summary just doesn’t work the nuance that matters get lost. Cortex storing all the raw data is the correct approach. My Threapy app providers bring this on Asap.
