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AI Agents
An agent is only useful when it is allowed to do something, which is exactly what makes it risky. These posts cover how much autonomy to hand over, how to bound it, and when a plain script beats an agent entirely. The examples come from systems that had to keep working after launch, not from demos.
5 posts
Universal vs Custom AI Agents: Which One Is Right for Your Case?
Universal AI agents like Hermes and OpenClaw vs custom-built agents and workflows. Learn when each one wins, why business and personal use lead to opposite answers, and a simple rule to decide fast.
How AI Agents Handle Unstructured Data from Customer Attachments
Extracting data from customer PDFs is harder than it looks. Here are 5 layers every production AI agent needs to handle unstructured documents reliably.
Top AI GitHub Repos Right Now - What They Tell Us About the State of AI
The 12 most starred AI GitHub repos tell a clear story about where the AI industry is heading and what it means for businesses building with AI.
Safe AI Autonomy: A Practical Guide to Letting AI Agents Make Decisions
Learn how to safely implement AI agent autonomy in your business with 7 proven safety measures, decision frameworks, and real-world examples. Stop fearing AI mistakes and start building trustworthy autonomous systems.
Why AI Agents are useful?
Discover the advantages of AI Agents over traditional automation workflows