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
- 🧩 Different behaviors across teams
It felt less like querying an LLM… and more like watching a system evolve.
💡 Where This Can Be Useful
This kind of simulation opens up interesting possibilities:
🏢 Organization & Product
- AI adoption strategies
- Remote work policy changes
- Feature rollout impact
📦 Business Decisions
- Pricing experiments
- Customer behavior prediction
- Growth strategy testing
🌍 Macro Scenarios
- Economic shifts
- Supply chain disruptions
- Policy or geopolitical changes
🔄 RAG vs Simulation (My Take)
| Approach | What it does |
|---|---|
| RAG | Retrieves and explains existing knowledge |
| Simulation (MiroFish) | Models and predicts possible futures |
Both are powerful but they solve very different problems.
⚡ Final Thoughts
We’re slowly moving from:
👉 “Answering questions”
to
👉 “Rehearsing decisions”
MiroFish feels like an early step in that direction.
Still experimenting, but this approach definitely opens up a new way of thinking about AI systems.
If you’ve tried something similar or have ideas for scenarios to test — would love to hear 👇
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