???? 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
• ???? 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)

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 ????