Coding
PromptBeginner5 minmarkdown
Nano Banana Pro
Agent skill for nano-banana-pro
6
Coding
Use Cases for AI Agents
generic skill
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Jan 23, 2026
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AI agents require sophisticated database capabilities to effectively manage data, learn from interactions, and provide intelligent responses. GibsonAI provides specialized tools for AI-powered applications, from RAG workflows to dynamic schema evolution.
RAG initial schema setup and ongoing vector storage support
Creating a new database quickly per action made by agents
Experimenting and evaluating agent behavior and versions
Live Data API – Agents can consume ready and up-to-date APIs
Developer can register their remote MCP servers and AI Agent apps
Alerting on critical data changes
Auto-generate dashboards from database insights
Automatically seed test data for agents
Backup and restore environments for agent sessions
Collaborate with human-in-the-loop database reviews
Built specifically for AI applications with vector storage, embedding management, and intelligent data handling capabilities.
Automatically scale database resources based on agent workloads and data requirements. No manual intervention required.
Leverage AI to optimize database performance, manage schema evolution, and automate routine maintenance tasks.
Advanced security features including agent-specific permissions, audit trails, and compliance monitoring.
GibsonAI works seamlessly with popular AI frameworks:
Ready to supercharge your AI agents with intelligent database capabilities? Explore the specific use cases above or check out our MCP Server integration to get started.