What is Agent Studio?
Agent Studio is where you design, check, and operate an AI Agent for recurring work without writing code. Describe what you want to achieve in plain language, and Terasu turns it into a proposal for the flow, Room materials, and checks the Agent needs.
Create → Evaluate → Deploy → Improve is the safe order. You do not need to enable Room updates, external delivery, or automatic triggers at the start. Begin with an Agent that reads information and makes a proposal, then check the quality.
How this differs from the Room AI Agent
| What you want to do | Where to go |
|---|---|
| Ask about the Room currently open | The AI Agent on the right side of the Room |
| Build, evaluate, and deploy a reusable Agent | Agent Studio |
The Room AI Agent is for a conversation in the moment. Agent Studio is for designing, evaluating, and deploying an Agent that can handle a defined job repeatedly.
What each sidebar screen is for
| Screen | What you decide there |
|---|---|
| ジャーニー (Journey) | Goal, boundaries, and materials to reference |
| 設定と連携 (Connections) | Review the built-in capabilities available in the Room and their boundaries |
| シミュレーション (Simulation) | Evaluate results before production use |
| 配備と実行 (Deploy & Run) | Choose the Room and how an approved Agent runs |
| 実行レビュー (Run Review) | Read and assess one individual run |
| インサイト (Insights) | Check Room-level quality and execution trends |
| 改善キュー (Improvement Queue) | Turn system-detected improvement suggestions into a draft |
Run Review is where people inspect individual runs. Improvement Queue is where the system proposes changes from repeated patterns. Neither screen publishes a change automatically.
Start with a read-only job, such as turning meeting notes into decisions, open items, and discussion points for the next meeting.
Related articles
- Create your first read-only AgentUse plain language to create a safe first Agent that organizes meeting notes without changing anything
- Evaluate, approve, and deployCheck expected results in simulations before deploying an Agent to a Room
- Review results and improve an AgentUse Run Review, Insights, and Improvement Queue for different parts of the improvement cycle