Your AI agent dies when the chat ends. That is the real architecture bug.
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Most “AI agents” are chat sessions with tool calls. They look alive while a request is running. Then the process exits, the context evaporates, and every promise to “keep an eye on it” quietly becomes fiction. The model is rarely the problem. The unit of computation is. If an agent is supposed to watch, remember, follow up, or finish work over several days, a chat turn cannot be its lifecycle. It needs to be a durable process. A useful agent has three different clocks Long-running work usually…
1Key Takeaways
- Most “AI agents” are chat sessions with tool calls.
- They look alive while a request is running.
- Then the process exits, the context evaporates, and every promise to “keep an eye on it” quietly becomes fiction.
- If an agent is supposed to watch, remember, follow up, or finish work over several days, a chat turn cannot be its lifecycle.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that most “AI agents” are chat sessions with tool calls.
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