8. The AI That Works While You Sleep (Scheduled Tasks & Autonomous

In Episode 8, we unlock the next level of AI productivity: autonomous, recurring workflows. Instead of triggering Claude manually for each task, we explore how Claude Cowork can operate as a background agent that runs on its own schedule.

You will learn how to configure automated workflows using cron expressions. For example, you can build a daily briefing that gathers overnight system alerts, support tickets, and calendar updates—delivering a synthesized report before you even start your day.

We also walk through how to create larger recurring workflows such as a weekly executive report that aggregates data across multiple systems, generates charts, and automatically formats a presentation ready for leadership review.

Beyond the basic setup, we explore the real engineering challenges of autonomous agents. What happens when the network drops temporarily? How should tasks recover from dependency failures? And how do scheduled workflows behave if your laptop goes to sleep? Understanding these operational details is critical when building reliable AI automation.

Finally, we connect these ideas to David Allen’s well-known Getting Things Done (GTD) framework. By mapping AI automation to the five stages—Capture, Clarify, Organize, Reflect, and Engage—you can design systems that help your entire team operate more effectively.

If you want to dive deeper into designing reliable AI workflows and operational systems built around Claude, these concepts are explored in greater depth in my book Master Claude Chat, Cowork and Code: From Prompting to Operational AI.

Learn more about the book on Amazon

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(35)

20. Teams, Sessions and Worktrees (Four Ways to Run AI Work in Parallel)

In Episode 20 of Beyond Prompting, author Sho Shimoda clarifies how to run multiple AI tasks concurrently without getting tangled in state or disk conflicts. While Chapter 19 focused on subagents, Cha...

16 Okt 35min

19. Preventing Context Pollution with Subagents (Delegating Heavy Lifting)

In Episode 19 of Beyond Prompting, author Sho Shimoda explores how to manage complex, search-heavy engineering tasks without cluttering your main conversation window using Subagents. When an agent rea...

14 Okt 52min

18. Packaging and Distributing Workflows (Plugins and Marketplaces)

In Episode 18 of Beyond Prompting, author Sho Shimoda explores how to bundle your team's custom skills, commands, subagents, hooks, and MCP server configurations into a single, installable unit using ...

12 Okt 29min

17. Connecting Systems with MCP (The Stateless Wire Protocol)

In Episode 17 of Beyond Prompting, author Sho Shimoda breaks down the Model Context Protocol (MCP)—the open standard that connects Claude Code to external systems like ticket trackers, wikis, and data...

11 Okt 47min

16. Packaging Standard Operating Procedures (Agent Skills)

In Episode 16 of Beyond Prompting, author Sho Shimoda breaks down how to turn your team's recurring instructions and workflows into executable Agent Skills. Rather than re-explaining multi-step proced...

9 Okt 50min

15. Prompt Caching and Durable State (The Economics of Context and Memory)

In Episode 15 of Beyond Prompting, author Sho Shimoda breaks down prompt caching—the single largest cost lever in the Claude Code ecosystem—and demonstrates how to manage long-term project memory. We ...

5 Okt 48min

14. Memory, Compaction and Checkpoints (Managing Context in Long Sessions)

In Episode 14 of Beyond Prompting, author Sho Shimoda breaks down how to manage context budgets and session state when conversations run long. We examine the three core mechanisms that control what Cl...

4 Okt 45min

13. Curing AI Amnesia (CLAUDE.md and Rules)

In Episode 13 of Beyond Prompting, author Sho Shimoda breaks down how to configure persistent repository instructions using CLAUDE.md and rule files. Rather than treating CLAUDE.md as a generic style ...

30 Sep 46min