How to Build 24/7 Claude Agents. Easy.

How to Build 24/7 Claude Agents. Easy.

by Nate Herk

Applied Sciences & Engineering Computing & Cybersecurity UMComputer programmingUMSMobile and handheld device programming
🎙 Nate Herk 👥 964K 📅 April 14, 2026 ⏱ 16 min 👁 70K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

Claude Coderoutinesscheduled tasksAPI keyscloud environment

Summary

Nate Herk presents a tutorial on Anthropic’s new ‘routines’ feature in Claude Code, which allows users to run prompts on a schedule from Anthropic’s cloud, eliminating the need for a local machine to stay on. He demonstrates how to set up a routine, configure a GitHub repository, manage environment variables for API keys, and choose network access levels (trusted vs. full). He shares common pitfalls, such as the need to explicitly instruct Claude to use environment variables instead of a .env file, and the limitations of stateless runs (no local file access, no cookies). The video compares routines to existing desktop scheduled tasks and the /loop command, highlighting that routines run in the cloud, are fully autonomous, and have a minimum interval of one hour. He also covers usage limits (5 runs/day on Pro, 15 on Max, 25 on Team/Enterprise), resource specifications (4 vCPUs, 16GB RAM, 30GB disk), and answers common questions about cron syntax, model selection, MCP connectors, and testing. The creator emphasizes the advantage of routines in preserving the agentic framework (workflows, agents, tools) compared to traditional automation scripts.

181 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable, practical information for users wanting to leverage Claude Code routines for automation. The creator shares real-world examples and specific workarounds, such as explicitly instructing Claude to use environment variables and adjusting network access to ‘full’ for certain integrations. The argumentation is clear and based on hands-on testing, which adds credibility. However, the video is primarily a tutorial and does not delve into deeper technical analysis or alternative approaches. The creator’s enthusiasm is evident, but the content is largely anecdotal and lacks comparative benchmarks or independent validation.

Scientific Rigor, Source Quality, Title Accuracy

The video references Anthropic’s official announcement and documentation, but the creator does not provide direct links to these sources in the description. The description includes links to his own courses, tools, and social media, but no official Anthropic documentation. The title accurately reflects the content, which is a step-by-step guide. The creator’s claims about limits and features are consistent with the official documentation, but the lack of direct citations reduces the overall rigor. The video is well-structured with clear timestamps, but the reliance on personal experience without external verification limits its scientific value.

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Title / Content Match

The title accurately reflects the content, which is a guide to setting up Claude Code routines for automated, cloud-based agents.

Quality & Reliability

7/10

The video is a practical tutorial based on the creator's hands-on experience with Claude Code routines. It provides specific configuration steps, workarounds for common issues, and references to official documentation. However, it lacks independent verification and relies heavily on anecdotal evidence.

Chapters

Cited Sources

Concurring Sources

Contribution & Novelties

The video provides a practical, hands-on guide to setting up Claude Code routines, a new feature that enables cloud-based, scheduled AI agents. It offers unique insights into common pitfalls, such as API key management and network access configurations, which are not covered in official documentation. The creator’s emphasis on preserving the agentic framework (WAT) is a valuable perspective for automation enthusiasts.

Pour aller plus loin :

119 words

Radar Profile

The radar profile shows a balanced performance with high scores in information quantity and technical level, but slightly lower in quality and reliability. This suggests the video is informative and technically detailed, but may lack depth in sourcing and verification.

Reliability 6/10

💬 Positif. Sur les 30 commentaires analysés, la majorité exprime de l'appréciation pour le contenu et pose des questions techniques, indiquant un intérêt marqué pour le sujet et une reconnaissance de l'utilité du tutoriel.