Feels like „AI agents” topic is all over the internet now (at least in my corner of the web/social media). Are they really anything useful or is it just another overhyped term?
As someone who has been building "agents" for about a year, definitely over-hyped. They work well in extremely narrow use cases where:
1. A human is there to keep it on the rails
2. Tools are domain specific
Most agents being shown are basically LLM calls encoded in a graph structure - which I don't think an agent is. As a part of having "agency", the agent needs to have control over its control flow, sans the start and stop node.
For example, coding agents are great because they operate in a highly predictable environment and can verify their outputs iteratively using a combination of static analysis and tests.
It's like when first self-driving cars came out. The real work is slow, painful, and involves good engineering.
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2. Tools are domain specific
Most agents being shown are basically LLM calls encoded in a graph structure - which I don't think an agent is. As a part of having "agency", the agent needs to have control over its control flow, sans the start and stop node.
For example, coding agents are great because they operate in a highly predictable environment and can verify their outputs iteratively using a combination of static analysis and tests.
It's like when first self-driving cars came out. The real work is slow, painful, and involves good engineering.