Build an AI Agent with Claude code You can do t...
Here's the exact workflow you need to build and deploy custom AI agents with Claude code. First, go to skills.sh and install the OpenAI Agents SDK skill. With this, Claude knows exactly how to use the agent's SDK. It's not guessing at syntax. Second, tell Claude exactly what you're trying to build. Tell it exactly what the agent does, what tools it can call, and what the exact inputs and outputs are that you're expecting. I like to tell it to first build this in a Jupyter notebook. You can quickly iterate and test on the input and output before deploying to production. Third, tell Claude to convert this into a production-ready, fast API app using server-sent event streaming deployed on GitHub and Railway. It will reuse the exact code from the notebook, but set up cores, environment variables, and actually be able to take real production traffic. If you want a UI, ask Claude to deploy a simple front-end Tiffer cell for you. If you want a step-by-step, free video walkthrough on exactly how to do this, check the link in my bio.
Summary
This video outlines a workflow to build and deploy custom AI agents using Claude code, focusing on installation, definition, testing, and deployment steps.
Key Points
- Install OpenAI Agents SDK skill from skills.sh.
- Define the agent's purpose, tools, inputs, and outputs.
- Build and test in a Jupyter notebook for quick iterations.
- Convert the notebook into a production-ready API app.
- Deploy using server-sent event streaming on GitHub and Railway.
- Request a simple front-end UI from Claude if needed.
Tags
Repurpose Ideas
- LinkedIn post: Steps to build AI agents with Claude.
- Tweet: Key steps for deploying AI agents in under an hour.
- Checklist: Essential steps for creating a production-ready AI app.
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