15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T5e5,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 - Technical write-up: https://medium.com/data-science-collective/project-chimera-a...

I’d appreciate feedback from the HN community — especially on methodology, experiment design, and potential real-world applications beyond e-commerce.17:T788,Hi HN!

I’ve always been a fan of application launchers, and I was impressed by the approach the Raycast team took — especially their extension system. About six months ago I started building something similar for Linux, aiming to integrate deeply at the OS level and give extensions a lot of power.

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