back_office_ops · workflow
mAIdAI: serverless personal AI assistant built with Google Chat, Cloud Run, and Vertex AI
An AI Architect found themselves manually navigating repetitive daily tasks — answering the same questions, digging for documentation links, and context-switching constantly — while generic team bots lacked the specific personal context to help.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User message in Google Chat
The user sends a message through the Google Chat app interface, which serves as the frontend with no custom UI to build or maintain.
Tools used
Google ChatCloud RunVertex AIFastAPIGoogle GenAI SDK
Outcome
The author built a working proof-of-concept personal AI assistant in a few hundred lines of Python, showing that a highly personalized, context-aware agent does not require a massive engineering team.
Results
Cost replaced0 cost
Source
https://mlops.community/blog/maidai-building-a-personal-assistant-with-google-cloud-and-vertex-ai
Grounding & classification
Source type: technical build writeup
18 fields verified against source quotes.
ai agentcontent generationconversational aiknowledge basebuilder submittedtools describedworkflow describedsoftwareemployee productivitytechnical build writeupback office opsagentic task execution