# Quickstarts

- [Create your first AI Agent for sentiment analysis](/documentation/resources/quickstarts/create-your-first-ai-agent.md): Get started with AI on Digibee by building your first Agent in just four steps.
- [Turn AI responses into a structured JSON output](/documentation/resources/quickstarts/turn-ai-into-structured-output.md): Learn how to transform AI responses into a structured JSON output on Digibee, making your Agent’s results predictable and ready for deterministic integration flows.
- [Use an MCP Server tool to connect agents to external systems](/documentation/resources/quickstarts/connect-agents-to-external-systems.md): Create an AI agent that consumes external knowledge from an MCP Server and converts it into reliable, structured documentation outputs.
- [Build your first AI testing workflow with Datasets, Evaluations, and Versioning](/documentation/resources/quickstarts/first-ai-testing-workflow.md): Build a working AI testing workflow that validates structured JSON outputs across multiple input variations.
- [Build secure and controlled AI Agents with Guardrails](/documentation/resources/quickstarts/agent-guardrails.md): Ensure data privacy safety by masking sensitive information and enforcing strict response rules.
- [Automate AI task validation with a quality gate](/documentation/resources/quickstarts/automate-ai-task-validation-with-a-quality-gate.md): Learn how to build an agent that checks a list of tasks and decides if they meet the expected criteria.
- [Optimize the AI auditor with semantic intelligence](/documentation/resources/quickstarts/optimize-the-ai-auditor-with-semantic-intelligence.md): Learn how to use Versioning to improve your evaluator agent, moving from rigid to semantic validation and comparing results with the same Dataset.