Gemini · Google
Gemini integration in a custom system
Gemini integration means your backend calls Google’s generative API for the same jobs as GPT and Claude: drafts, classification, extracts. If the company already lives in Google Workspace, Gemini can be the least frictional choice politically and contractually. That is not automatically the best fit for your task. Test on your documents, not on a demo prompt. Workspace integration and the Gemini API are two sockets. Mix them only if you have thought the scopes through. Data minimisation applies here as with the others: do not send Drive folders “to be safe”.
The same thin engine layer as OpenAI and Claude. Prompt and tools live with you. The model sits behind an interface. The AI layer in your app.
Two sockets, not one
Gemini API
- Text in, text out, your backend
- You choose what is sent
- Same cap, log and human as the others
Google Workspace
- Calendar, Drive, Gmail, identity
- Scopes and admin approval
- A separate project: Workspace integration
Prompt
Menneske godkender før udsendelse
Contract
Is Gemini what leadership already said yes to?
Trial
Run your own cases, not an English demo prompt.
Scopes
If Workspace is mixed in: only the files the job needs.
What to do now
Send three real documents you want classified or summarised. Then we can say whether Gemini is the engine — or just the politically easy choice. Contact.
FAQ about Gemini integration
Gemini + Workspace = data mixed automatically?
No. Workspace integration and the Gemini API are two sockets. Mix them only if you have thought the scopes through.
Is Gemini best because we have Google?
It is often the easiest contract. It is not automatically the best on your cases. Test.
Can we switch to Claude without a new UI?
Yes, if the engine is an interface. If you hardcoded Gemini into every screen, you are stuck.