They've been using AI to shove a lot of AI into their product and trying to force everyone to use AI. I really don't understand the why of any of it. The product was working great for what it needs to do. I don't need AI to make guesses about data for me and I especially do not want _yet another product_ trying to write features in my codebase (which is their latest push).

I used their AI chat last night and I was impressed with the product implementation. I was able to use it to make quick sense of data and even generate prompts to solve problems locally.

IDK what the prior AI behaviors have been, but for me, what they have now is an ~idealized version of AI product.

It is basically what I'd do if they didn't offer it but not as well: export data, import their docs in md., import some industry best practices in analytics into context etc.

Except its all right there. Not sure of the economics of it, as it was on a free account and some reasonably good model was powering the discussion. But it was about as engaged as I've been with an analytics tool.

I'm normally not a fan of AI being shoved into products but I love it in PostHog. I can ask it a product question, ask it to slice and dice data, etc and it does a really good job of sifting through my events, doing analysis, building dashboards, etc. It's normally boring tedious work to do that stuff in PostHog so I'm impressed and glad it works.

I recently set up Posthog in production on 3 apps and Posthog's MCP and integrated AI chat were very helpful for onboarding (verifying integrations, setting up and recommending dashboards, debugging an event not being tracked properly, etc).

To each his own though.