Just built a quick prototype that translates business rules into pseudo-code. Worked well.

So I was wrestling with HubSpot's custom objects this morning, trying to set up some pretty granular conditional lead routing. The workflow UI just wasn't cutting it for the logic I needed, and I kept thinking, "I wish I could just write a simple IF/THEN statement."

Instead of switching tabs to another CRM to see how *they* handle it (😅), I popped open HuggingChat. I've been using it to draft emails, but this time I had a different idea. I prompted it to act as a "business logic translator."

The goal: take a plain-English business rule and convert it into a clean, pseudo-code format that any dev (or even a savvy admin) could understand and implement.

Here's the kind of rule I fed it:
> "If a lead comes from the website form and their company size is over 200 employees, and they downloaded the enterprise whitepaper, then tag them as 'Enterprise Lead' and assign to the enterprise sales team. Otherwise, if company size is under 200 but they requested a demo, assign to SMB sales."

What HuggingChat returned was surprisingly structured:

```
IF (lead_source == "website_form" AND company_size > 200 AND asset_downloaded == "enterprise_whitepaper") THEN
ADD_TAG("Enterprise Lead")
ASSIGN_TO_TEAM("enterprise_sales")
ELSE IF (company_size < 200 AND demo_requested == TRUE) THEN
ASSIGN_TO_TEAM("smb_sales")
END IF
```

Why this is useful for my CRM-hopping brain:
* It creates a **single source of truth** for a complex rule outside of any specific CRM's UI.
* You can easily validate this with stakeholders before you try to implement it in, say, Salesforce Flow, Pipedrive, or HubSpot.
* It's **platform-agnostic**. This same logic can be adapted anywhere, which is great for comparing how different systems handle conditional branches or assignment actions.
* It dramatically reduces ambiguity. No more "wait, did we say over 200 or 200 and over?"

I've started using this to document edge-case rules for lead scoring and support ticket escalation. It's basically a quick way to prototype workflow logic without committing to building it in a live system first.

Has anyone else used AI assistants for this kind of "business logic prototyping"? I'm curious if this could be a step towards easier migration planning between platforms—if you have all your rules in a pseudo-code format, you can theoretically port them more cleanly.