AI Workflows: Step-by-Step Guide to Claude Routines

TL;DR

• Claude Routines automate software development cycles on managed cloud infrastructure.
• Triggers include scheduled cadences, API calls, and GitHub webhook events.
• Setting up automated AI workflows frees up your time for high-level software architecture.
• You can initiate these routines directly from the CLI or the visual web dashboard.

Understanding the Core of AI Workflows

As a software developer, your time is your most valuable asset. Building effective AI workflows is the key to scaling your output without burning out. The recent launch of routines in Claude Code fundamentally changes how developers approach background tasks. This tool allows you to define repeatable processes that work your backlog, review your pull requests, and respond to cloud events automatically.

You can effectively build a hermes agent that acts autonomously on Anthropic managed infrastructure. That means the whole time you are away from your keyboard, perhaps out running errands or looking for a walmart near me, your code is still being reviewed and your issues are being triaged. We will explore exactly what these routines are and provide a step-by-step guide on how to implement them.

A routine is a saved configuration that includes a prompt, one or more repositories, and a set of connectors. You package this configuration once and run it automatically. Because these execute on cloud servers, they keep working when your laptop is closed. Which means your AI workflows run persistently without a dedicated server. You do not need to keep a terminal window open.

How do you trigger AI workflows on a schedule?

You can trigger routines in three primary ways. First, you can use scheduled triggers to run on a recurring cadence like hourly, nightly, or weekly. Second, you can use GitHub webhooks so the routine reacts to every new pull request or issue comment. Third, you can use the API to start a session on demand by sending an authenticated POST request.

All three methods help you deploy a hermes agent that handles unattended and repeatable work. For example, if you need to buy supplies and search for a walmart near me, your agent will continue to triage bug reports while you are shopping. Since you set it up once, your AI workflows will run continuously.

Step by Step Guide to Creating Claude Routines

Setting up automated AI workflows is straightforward once you understand the interfaces. You can create a routine from the web interface, the desktop application, or the command line interface. All surfaces write to the same cloud account, so your tasks sync immediately.

Using the CLI to Build Your AI Workflows

The fastest way to get started is using the command line interface. This acts like a quick hermes agent setup for your local environment that syncs directly to the cloud. You must ensure you have a supported plan enabled.

1. Open your terminal and navigate to your project directory.
2. Type the schedule command to initiate the setup wizard.
3. Provide your instructions in plain language.
4. Confirm the schedule and the associated repositories.

cd /your-project-repo
claude /schedule

The moment you run this command, Claude will ask what you want to automate. You can type something like "Every night at 2am: pull the top bug from Linear, attempt a fix, and open a draft PR." And then Claude will configure the cloud routine for you. That's why this process is incredibly efficient for establishing persistent AI workflows.

Creating a Routine from the Web Dashboard

If you prefer a visual interface, you can use the Claude Routines documentation to guide your web setup.

1. Visit the code dashboard on the Claude web interface.
2. Click the button to create a new routine.
3. Enter your prompt and select your target repository.
4. Choose your trigger type and save the configuration.

This visual approach is perfect when you want to review the connectors before deploying your hermes agent. But remember that both methods achieve the exact same result in the backend.

Triggering Routines via API

For advanced AI workflows, you might want to integrate with external systems. You can Trigger a routine via API using a simple shell script. This is highly useful for integrating with CI/CD pipelines.

curl -X POST https://api.anthropic.com/v1/claude_code/routines/$ROUTINE_ID/fire \
  -H "Authorization: Bearer $ROUTINE_TOKEN" \
  -H "anthropic-version: 2023-06-01" \
  -H "anthropic-beta: experimental-cc-routine-2026-04-01"

Once you integrate this into your deployment scripts, your AI workflows become entirely event driven.

Comparing Your AI Workflows Scheduling Tools

Claude provides multiple ways to handle recurring tasks. It is important to choose the right tool because each serves a different use case in your AI workflows.

You should use Cloud Routines for work that must run reliably without your machine. For instance, if you take a weekend trip and look up a walmart near me for snacks, the cloud routine will not fail. Desktop tasks are better when you need local file access. The loop command is ideal for quick polling during an active coding session.

Scaling Your Engineering AI Workflows

Once you master the basics, you can start building complex AI workflows. You can incorporate Claude Hooks to intercept and modify the behavior of your routines. Hooks execute automatically at specific points in the lifecycle, which means you can block unsafe operations.

What are the best practices for AI workflows?

To get the most out of your automation, you must keep your workflows focused. One workflow should equal one purpose. You should not combine a dependency update with a production deployment. Furthermore, you should always review the outputs of your hermes agent. Setting up a Claude API CI/CD pipeline is a great way to enforce quality checks.

You can even extend your scripts using the Python SDK to manage these configurations programmatically. The whole time your pipeline runs, it acts as a reliable partner. That gives you peace of mind so you can focus on high-level architecture instead of mundane tasks. It is similar to having a dedicated assistant, much like how finding a walmart near me solves an immediate grocery need without much thought.

Conclusion

Adopting Claude Code routines is a massive step forward for modern engineering teams. Because these tools handle the repetitive maintenance tasks, you can spend your energy on creative problem solving. Building robust AI workflows ensures your codebases remain clean, updated, and thoroughly reviewed.

You can finally let your digital hermes agent handle the backlog, and that is a true competitive advantage. You will spend less time doing repetitive work and more time building great products. You might even enjoy your weekend away from the computer without needing to worry about project maintenance while grabbing lunch at the nearest walmart near me.

Frequently Asked Questions