// Agent Automation
Topic Archive — 8 articles
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01
AI Can Cross Permission Boundaries Without Malice
A routine search task took a model through DNS and outside its sandbox. Public incidents show where retries end and permission boundaries begin.
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02
I Ran a Multi-Agent Architecture Experiment: Complex Systems Are Not Automatically Smarter
A small Agent Architecture Lab experiment shows that multi-agent design is not a default upgrade path. It has to earn its place through cost, boundaries, and review value.
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03
The Real Problem in Multi-Agent Architecture Is Context Boundaries, Not Roles
The key is not how many roles to create, but how context is shared, isolated, compressed, passed, and merged.
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04
When Multi-Agent Is Actually Needed: Splitting, Collaboration, and Result Merging
The value is not quantity. It is whether complex work can become controllable, traceable, composable collaboration units.
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05
AI Agents Are Reshaping System Architecture: From Feature Systems to Task Systems
Agent value is not only chat or tool calls. It reorganizes scattered capabilities into task systems that move goals forward.
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06
AI Agent Architecture: From Chatting to Executing, the Missing Layer Is a System
An AI Agent is not a stronger chat box. It is an execution system composed of control loops, tool calls, state, memory, and governance.
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07
The AI Workflow Battle: Why the Real Endgame Is Not Tools but the Work Agent Layer
The real competition is not just workflow entry. It is for entry rights, context rights, and execution rights, as product value moves upward from tools to the work-agent layer.
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08
AI Agent: Workflow Revolution or Another Bubble?
From solo developers to enterprise applications, AI Agent is transforming how we work. But beneath the hype, what's real change and what's overhyped?
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