Google Vertex AI
Google Vertex AI managed LLM and Imagen
Google Vertex AI is the managed-LLM and ML platform on Google Cloud — hosts Gemini models, Imagen image generation, plus the broader Vertex AI workbench for training, deploying, and serving custom models. Tiny Command exposes three actions, no triggers: Generate Content (Gemini on Vertex) (against Gemini models served from Vertex with the Vertex-specific request shape; pricing and rate limits differ from the Gemini API direct), Embed Text (Vertex's text-embedding models — textembedding-gecko and others), Imagen Generate (Vertex's Imagen text-to-image model — separate from Imagen on the Gemini API). The connection uses Google Cloud service-account credentials with aiplatform.user permissions, scoped to a specific project and region. Vertex AI is the enterprise-grade GCP-native path; Gemini API direct is the developer-friendly direct path. For enterprises already deep in GCP (with IAM-based access control, VPC service controls, BigQuery integration), Vertex. For independent developers, Gemini API direct is simpler.
Do anything Google Vertex AI can do, from a workflow.
Every action accepts dynamic inputs from upstream nodes, whether that's an AI output, a form field, or a search result.
| Action | What it does |
|---|---|
| Embed Text | Generates text embeddings on Vertex AI using Gemini Embedding or text-embedding-005. Use for RAG, semantic search, or clustering inside your GCP project (with the data-residency/retention controls that come with Vertex). |
| Generate Content (Gemini) | Calls Gemini models on Vertex AI using your GCP project, region, and IAM. Same model family as the public Gemini API but with enterprise governance: VPC-SC, CMEK, audit logs, and data-residency. |
| Imagen Generate | Generates images using Imagen on Vertex AI, the enterprise-tier image model with prompt-rewriting controls, safety filters, and retention controls suitable for regulated workloads. |
Pre-built Google Vertex AI workflows.
Clone any recipe and customize it in one click. Every recipe is fully editable.
AI-triage every Google Vertex AI event, ping the right channel only when it matters.
Every event matching a filter, appended to a running spreadsheet.
Turn Google Vertex AI into a Notion-backed source of truth, auto-tagged.
Three things worth knowing.
Tiny Command counts a run the moment a trigger fires. Filtering early means only matching events spend your usage budget.
Connect Google Vertex AI once and every workflow on your account can use its triggers and actions. You don't have to re-auth per workflow.
Every Google Vertex AI field shows up in the visual picker for downstream nodes. The raw payload is there for power users, optional for everyone else.
Questions about the Google Vertex AI integration.
If we missed yours, ping support. We usually reply within an hour.
How do I connect Google Vertex AI to Tiny Command?
What Google Vertex AI triggers does Tiny Command support?
What Google Vertex AI actions can I run from a workflow?
Is the Google Vertex AI integration real-time?
Do I need to write code to use Google Vertex AI with Tiny Command?
How much does the Google Vertex AI integration cost?
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Do more with Google Vertex AI.
Wire it to Slack, Notion, HubSpot, Stripe, or any of the other 438 apps in our catalog. Setup takes roughly two minutes. Free to try, no credit card.
