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We have built 10 different AI products at PostHog like PostHog AI, our Wizard, Replay Vision, Scouts, and more. Combined, they are used by nearly 100k people every month. Along the way, we’ve learned a lot about building them, what works, and what doesn’t. Here are the 38 most important lessons:

12/10/26, 6:03 pm1 repost5 likes

PostHog

@posthog.com

1. AI can make your product worse. It can be slow and unreliable, or solve a problem nobody has (like chatting with your docs, any AI can do this). Just because it’s AI does not mean it’s worth building.

PostHog

@posthog.com

2. Consider whether you need to build AI at all. It’s often better to build for AI first, like an MCP server. These are easier to build and maintain. 5x more people use our MCP server daily than PostHog AI.

PostHog

@posthog.com

3. Look for jobs to be done, not demos. The best opportunities for AI are tasks that take 30+ seconds, use language or interfaces users don’t know (like SQL), or tasks users repeat 20+ times.

PostHog

@posthog.com

4. Onboarding is a great first target. Our AI install wizard does two hours of work in ~8 minutes. Those who use it convert to paid 5x more often and activate 2x faster.