What This Tool Does
Real examples of how the connector helps your AI agent take action; like sending messages, updating records, or syncing data across tools.
Real-Time Lookup
Build and deploy ML models with Google Vertex AI
Example
"Run image classification model using Google Vertex AI"
Memory Recall
View ML model usage logs and predictions.
Example
"Get logs of training runs and prediction requests from Vertex AI model 'Lead Scorer'."
Instant Reaction
Notify data science when a model fails to deploy in Google Vertex AI.
Example
"Alert if Vertex model deployment returns 500 error."
Autonomous Routine
Track model accuracy, deployment logs, and training metrics.
Example
"Send daily model training status report."
Agent-Initiated Action
Retrain or redeploy models automatically based on error patterns.
Example
"Trigger retraining if model fails evaluation twice."
Connect with Apps
See which platforms this connector is commonly used with to power cross-tool automation.
Vertex AI
Run ML model inference
Google Sheets
Log prediction results
Slack
Alert teams on anomalies
Try It with Your Agent
Example Prompt:
"Run lead scoring using Vertex AI model and log results in Sheets, alerting if score < 50."
How to Set It Up
Quick guide to connect, authorize, and start using the tool in your Fastn UCL workspace.
1
Connect Google Vertex AI in Fastn UCL: Navigate to the Connectors section and select Google Vertex AI, then click Connect.
2
Authenticate using your GCP credentials.
3
Enable “train_model” and “deploy_model” in the Actions tab.
4
Use the AI Agent to run ML pipelines or inferencing jobs.
Why Use This Tool
Understand what this connector unlocks: speed, automation, data access, or real-time actions.
