How to design and run an agent in rehearsal – before building it

2026-04-02 · Source: Blog | DataRobot · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

DataRobot Agent Assist is a natural language CLI tool designed to streamline the development and deployment of production AI agents. It allows developers to design, simulate, and validate agent behavior in a "rehearsal mode" before writing any implementation code, significantly reducing scaffolding and setup time from days to minutes. Unlike general-purpose coding agents, Agent Assist is purpose-built for AI agents, understanding native tool definitions and production-grade structural needs. The workflow involves designing an agent through a guided conversation in the terminal, simulating its behavior against real requirements to catch logic or integration issues early, generating production-ready code with built-in authentication, monitoring, and testing frameworks, and finally deploying the agent from the same terminal session to various environments.

Key takeaway

For AI Engineers and MLOps teams building production AI agents, DataRobot Agent Assist offers a unified CLI experience that drastically cuts development time. By enabling design, simulation, and code generation within a single terminal, you can validate agent behavior and integrations before writing code, ensuring production readiness and reducing costly rework. Consider integrating this tool to accelerate your agent development lifecycle and improve deployment reliability.

Key insights

DataRobot Agent Assist accelerates AI agent development from design to deployment via a natural language CLI.

Principles

• Validate agent behavior pre-code.
• Purpose-built tools outperform generalists.
• Integrate governance from design.

Method

Design agent logic via natural language conversation, simulate behavior in "rehearsal mode" to validate, generate production-ready code, then deploy directly from the CLI.

In practice

• Use `dr assist` to start agent design.
• Test escalation logic in rehearsal mode.
• Deploy to any environment via CLI.

Topics

• DataRobot Agent Assist
• AI Agent Development
• Agent Simulation
• Natural Language CLI
• Rehearsal Mode

Best for: AI Engineer, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Blog | DataRobot.