#hybrid agent

'A hands-on tutorial showing how to combine classical symbolic planning with neural perception and policy modules to create a robust, interpretable hybrid agent. Includes full Python code for planning, perception, integration and visualization.'

'Hands-on Python tutorial that builds a benchmarking framework to compare rule-based, LLM and hybrid agents on realistic enterprise tasks, with reports and visual analytics.'