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title: A Useful Way to Think About Where AI Fits in Software
description: An architectural framing distinguishes two categories of AI systems: interaction-first systems that sit at the user edge (coding assistants, research tools)...
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# A Useful Way to Think About Where AI Fits in Software

**[AgentField.ai](https://daily.dev/sources/agentfield)** · 9 min read · 0 upvotes · 0 comments

## Summary

An architectural framing distinguishes two categories of AI systems: interaction-first systems that sit at the user edge (coding assistants, research tools) where humans absorb ambiguity and correct mistakes, versus runtime-embedded systems where AI is woven into decision points that other software depends on directly. The core argument is that responsibility, not intelligence or capability, is what separates these patterns: a human acting as checksum versus infrastructure having to detect anomalies and enforce boundaries. A simple diagnostic question is proposed: if an AI produces a wrong outcome, who notices first - a person or the system itself - which reveals where ambiguity is allowed to live and what level of auditability, traceability, and safety guarantees are required.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://agentfield.ai/blog/where-ai-fits-in-software>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#architecture](https://daily.dev/tags/architecture), [#mcp](https://daily.dev/tags/mcp)

[View this post on daily.dev](https://daily.dev/posts/a-useful-way-to-think-about-where-ai-fits-in-software-d50ar8aeo)

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