
š Projects vs. Custom GPTs: Whatās Right for Your Quality Team?
- Hadar Friedman
- Jul 21, 2025
- 1 min read
Updated: Jul 29, 2025
As more QA and regulatory teams in medtech explore AI solutions, one question keeps coming up:
Should we build a Project or a Custom GPT?
Hereās the short answer:
ā”ļø Projects are personal, organized, and tap directly into your accountās memory and settings.
ā”ļø Custom GPTs are designed to be shared, work independently, and can serve as dedicated AI assistants for specific workflows.
š Key Differences Simplified:
Projects help YOU stay organized. Custom GPTs help YOUR TEAM stay aligned.
Projects use your account memory. Custom GPTs work standalone, like a specialized consultant.
Projects are internal. Custom GPTs can be shared externally with your partners or across departments.
But hereās the game-changer:
š You can build a Custom GPT to act as your in-house "Quality Assistant," guiding your teams on CAPAs, validations, or even internal auditsāwithout ever sharing confidential data.
š Or⦠set up a Project if youāre developing a process improvement or validation strategy that needs to stay under your personal radar.
At QABOOST, I help quality leaders make AI practicalāwithout losing regulatory control.
š” Want help choosing between a Project and a Custom GPT?
Drop a comment or DM me, happy to Clarify.



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