Current AI tools often struggle with workflows requiring both abstract planning and precise execution.
Create a framework where LLM agents can maintain internal state representations while generating actionable text outputs.
Enterprise tech teams would pay for this as it bridges the gap between AI research and practical automation.
Start with a prototype showing an agent handling a simple customer support escalation path.
The biggest risk is performance overhead when maintaining parallel representations.