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![omarsar0 Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::3448284313.png) elvis [@omarsar0](/creator/twitter/omarsar0) on x 255.8K followers
Created: 2025-07-22 20:09:10 UTC

Traditional agent planning approaches often fail in enterprise scenarios due to unstructured plans, weak instruction following, and tool selection errors.

Routine provides a clear and modular format for LLM agents to follow multi-step plans, reducing ambiguity and improving tool selection.

Each step contains a step number, name, detailed description, and (optionally) inputs, outputs, and tool to be called.

![](https://pbs.twimg.com/media/GwfNBS7bIAA-XZk.jpg)

XXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947750788752937174/c:line.svg)

**Related Topics**
[llm](/topic/llm)
[elvis](/topic/elvis)

[Post Link](https://x.com/omarsar0/status/1947750788752937174)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

omarsar0 Avatar elvis @omarsar0 on x 255.8K followers Created: 2025-07-22 20:09:10 UTC

Traditional agent planning approaches often fail in enterprise scenarios due to unstructured plans, weak instruction following, and tool selection errors.

Routine provides a clear and modular format for LLM agents to follow multi-step plans, reducing ambiguity and improving tool selection.

Each step contains a step number, name, detailed description, and (optionally) inputs, outputs, and tool to be called.

XXX engagements

Engagements Line Chart

Related Topics llm elvis

Post Link

post/tweet::1947750788752937174
/post/tweet::1947750788752937174