The Difference Between an AI Workflow and an Autonomous Agent
An AI workflow and an autonomous agent can produce a similar-looking experience for the person using them. A request arrives….
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What Happens When an AI Tool Call Fails Halfway Through?
An AI tool failure can leave the agent with a question that a better explanation cannot resolve. Did the operation…
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Why AI Agents Need a Source of Truth
A source of truth becomes important the moment an AI agent has to do something with the information it finds….
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The Human Handoff Is Part of the AI Architecture
An AI handoff can look successful on a diagram and still be a poor experience for everyone involved. The agent…
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Who Owns an AI Agent After It Goes Live?
AI agent ownership becomes much more interesting after the deployment is finished. Before that point, responsibility normally looks reasonably clear….
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Why Enterprise AI Memory Needs More Than a Larger Context Window
AI memory sounds like a problem that should become easier as models improve. Give the agent a larger context window….
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AI Agent Testing: 17 Checks Before Enterprise Deployment
AI agent testing becomes a very different problem once the system can do more than answer a question. A response…
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How AI Agents Should Actually Communicate Inside an Enterprise
The first time you build two AI agents that can talk to each other, it feels slightly magical. One agent…
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Why Most Enterprise AI Projects Never Make It Past the Prototype
There’s a moment in almost every AI project where everything feels easier than expected. The prototype works. Someone connects a…
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AI Sub-Agent Divisions: How I Think the Enterprise Will Be Rebuilt Around AI
For most of the history of business software, we’ve built technology around people. Finance has its systems. Sales has its…