I gave CrewAI a shot to automate lead scoring from our HubSpot data. The goal was to categorize inbound leads (Hot/Warm/Cold) based on email content, form fields, and website activity.
After a week of testing, my results were worse than the basic Python script I was trying to replace. The main issues:
* **Inconsistent output:** Same lead data sometimes scored as "Hot," sometimes "Warm." The reasoning provided in the analysis changed each time.
* **Slower execution:** Took significantly longer to process a batch of leads than my script.
* **Ignored clear rules:** I defined explicit criteria (e.g., "mentions 'demo' = +5 points"). CrewAI's agents would often overlook these in their narrative analysis.
For now, I've gone back to my deterministic script. It's less "smart," but it's reliable.
Has anyone else tried CrewAI for similar RevOps or CRM tasks? Did you find a way to lock down the logic, or is it just not the right tool for this?
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