| Over the past few months, I’ve been building Project Chimera — a prototype AI agent that integrates three reasoning paradigms into a single decision-making system: - Neuro (LLM) for creative strategy generation - Symbolic for enforcing business rules and safety constraints - Causal for predicting the long-term impact of actions I tested this hybrid agent in a 52-week realistic e-commerce simulation with dynamics such as price elasticity, brand trust, ad ROI, and competitor effects. Key results: - Outperformed LLM-only and LLM+Symbolic baselines - Avoided catastrophic losses by simulating long-term causal impact - Achieved nearly 2× profit improvement through periodic causal retraining Resources: - Live demo: https://project-chimera.streamlit.app/ - GitHub: https://github.com/akarlaraytu/Project-Chimera I’d appreciate feedback from the HN community — especially on methodology, experiment design, and potential real-world applications beyond e-commerce. |