🚀 Beyond RAG: Simulating the Future with MiroFish

Lately, most of us have been working with RAG systems retrieving context, grounding responses, improving accuracy. But what if instead of just retrieving knowledge , we could simulate outcomes ? I recently came across MiroFish , and decided to test it out. 🧪 What I Tried I cloned the repo, ran it locally, and fed it a simple scenario: “What happens when an AI assistant is introduced into a company’s daily workflow?” Instead of a static answer, it generated a multi-agent simulation over time . 🧠 What Makes It Different Unlike traditional systems, MiroFish: Creates a virtual environment Generates multiple agents (employees, managers, etc.) Simulates interactions over time Produces a temporal report (day-by-day evolution) This means you’re not just asking: “What will happen?” You’re observing: “How things evolve step by step.” 📊 Sample Insights from My Test From a 14-day simulation, I observed: 📈 Initial boost in productivity ⚖️ Diverging employee satisfaction 🔁 Emerging dependency on AI