Show HN: Project Chimera – Hybrid AI Agent Combining LLM, Symbolic, and Causal

4 points by aytuakarlar 7 months ago · 3 comments · 1 min read

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.