Automation & AI · AI / Google models
Google Gemini
integration & API.
Gemini integrations for businesses already on Google Cloud or Workspace.
GG What is Google Gemini?
Google Gemini in plain English.
Google Gemini is Google's family of multimodal AI models — handling text, images, video, and audio natively. Available via Google Cloud Vertex AI and the Gemini API. Strong choice for Google Cloud-native businesses.
What businesses use it for
Common Google Gemini
use cases.
- 01 Multimodal AI workflows (image, video, audio)
- 02 AI features in Google Workspace integrations
- 03 Cost-effective AI for high-volume workloads
- 04 Native integration with Google Cloud services
Why custom?
Beyond the default Google Gemini integrations.
Google Gemini is the right choice when you're already on Google Cloud or want native multimodal capabilities. We build Gemini integrations into existing Google-centric stacks.
What we build with Google Gemini
Common Google Gemini integrations.
Gemini API integrations
Multimodal (image, video, audio) AI workflows
Vertex AI on Google Cloud
Commonly paired with
Google Gemini works with the rest of your stack.
How we build
Production-grade.
Not Zapier in a trench coat.
Every Google Gemini integration we ship handles failure properly: idempotent jobs, retry logic, dead-letter queues for unrecoverable cases, and observability so you can see exactly where data is at any moment.
Tested
Real test suite, real edge cases. Not just "it worked once."
Observable
You see what is happening — events logged, errors surfaced.
Maintainable
Documented, version-controlled, handed over properly.
More Automation & AI
Other automation & ai platforms we connect.
Z Zapier
Zapier integrations and the moments when custom code is the cheaper answer.
M Make
Make (Integromat) integrations and migrations to more reliable architectures.
N n8n
n8n integrations and self-hosted automation for businesses that want control over their data.
OpenAI
OpenAI integrations engineered for production — not demo-ware that breaks at the second edge case.
FAQ
Common questions about Google Gemini integration.
When should we use Gemini instead of OpenAI or Claude?
When you are deep in Google Cloud already, when multimodal (image/video/audio) is a primary requirement, or when Gemini's pricing fits your high-volume workload better. Often used alongside other AI models per use case.
Related reading
Thinking we’ve published on this kind of work.
What AI actually costs to run in production
AI demos are cheap. Production is not. Where the money actually goes when you ship an AI feature, and how to size the engineering investment around the model.
The hidden costs of SaaS once your business is established
The per-seat licence is the visible cost. Integration tax, lock-in, configuration drift, and the seat tax at scale are the SaaS costs no one quotes up front.
Red flags to watch for when hiring a development agency
The signals that separate agencies who deliver from agencies who disappear after the deposit. Twelve practical red flags from twenty-plus years of seeing them.
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Google Gemini?
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