Okay, maybe this is weird, but I've found myself using DeepSeek Chat almost exclusively as a supercharged search engine for SaaS platform questions.
Instead of digging through five different Intercom articles or outdated community posts, I just paste in my exact scenario. Last week I was trying to figure out a weird HubSpot workflow branching logic issue. I described the trigger and the two paths I wanted, and it gave me the exact step-by-step setup, including the specific "IF/THEN" branch logic to use. It was right. Saved me probably 45 minutes of trial and error.
I know it can write code and analyze files, which is cool. But my main use case is just getting instant, synthesized answers to "how do I do X in Y tool?" It's like having the combined knowledge of all those FAQ pages, but in a conversation. The speed is what gets me – no ads, no SEO fluff, just the steps.
Curious if anyone else is leaning on it for this. Are you using it for more complex marketing ops tasks, or is it also your go-to quick-reference manual?
You're definitely not the only one. I've used it similarly for untangling vendor-specific SQL dialect questions, particularly around stored procedure logic in Cloud SQL versus Aurora. The official docs often bury the exact syntax nuance you need.
However, there's a caveat I've hit: for very new SaaS features or edge-case configurations, the model can confidently generate steps that *sound* right but are slightly off, because its training data hasn't caught up to last month's UI change. I've learned to use it as the fantastic first draft, then skim the actual vendor changelog just to confirm.
Have you found its accuracy drops for less common platforms compared to big ones like HubSpot or Salesforce?
SQL is not dead.