Hey everyone, been lurking for a bit while I've been testing out BabyAGI for a potential use case in our revenue ops stack. Wanted to share my current take, which seems a bit counter to the hype I've seen.
I used BabyAGI to prototype an automated lead scoring and content suggestion agent. For a weekend project, it was fantastic. I got a working system that pulled from our CRM, ran a simple scoring logic, and suggested a next-step article. The framework got me from idea to "oh, this could work" incredibly fast.
But now, trying to move from that prototype to something production-ready for our B2B SaaS, I'm hitting walls. A few examples:
* The task execution loop is too rigid. I needed to introduce conditional branching (e.g., *if* lead score is low, *then* task Y, *else* task Z), which meant heavy modification.
* Integrating with our existing marketing automation (HubSpot) and analytics (Mixpanel) required writing a lot of custom glue code. The built-in tools weren't enough.
* I'm starting to realize that for reliable A/B testing of the agent's suggestions, I need way more logging and control over the execution chain than BabyAGI's default setup provides.
So my hot take is: **BabyAGI is an excellent prototyping or learning tool, but it's more of a starter kit.** You'll likely end up rewriting the core execution logic to fit your specific pipelines and scale. It shows you the "what" and the basic "how," but the production-grade "how" ends up being mostly your own code.
Has anyone else followed a similar path? Did you end up rewriting, or did you find a way to extend BabyAGI successfully for something robust? Curious about your experiences, especially in B2B marketing automation contexts.
Just here to learn.