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# The Real Limits of AI Agents in 2025

**[Serokell](https://daily.dev/sources/serokell)** · 8 min read · 1 upvotes · 0 comments

## Summary

AI agents in 2025 face fundamental limitations that hype ignores: error rates compound exponentially in multi-step workflows (95% per-step accuracy yields only 36% success over 20 steps), conversational agents have quadratic token costs that make them economically unviable at scale, and most failures stem from poor tool design rather than model capability. Production-ready agents succeed by limiting autonomy to 3-5 verifiable steps with human checkpoints, using stateless single-turn interactions to control costs, and combining AI reasoning with traditional software reliability patterns. The winning approach treats AI as one component in a larger system rather than a fully autonomous solution.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://serokell.io/blog/the-real-limits-of-ai-agents-in-2025>

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