Ideas
aiagentsllmautomation

LLM agent planning framework

Create a specialized framework for planning and coordinating AI agent workflows. Help developers build more reliable agent systems.

Why now

As LLM agents move beyond simple tasks, planning becomes the critical bottleneck.

Who for
AI application developers
Business model
Open core with paid features
Effort
A few weeks

Developers building AI agent systems struggle with unreliable planning - agents make poor decisions or get stuck in loops.

Build a framework that helps structure agent planning with constraints, memory, and fallback behaviors. Include visualization tools for debugging agent reasoning.

Start with a Python library for common planning patterns, then add UI tools. Target specific domains like customer support or data processing.

The main risk is rapid evolution in agent architectures making your approach obsolete.

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LLM agent planning framework — Ideas