SIMFORGE

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  Intro page

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  Preparing case study in selected domain

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  Constraints

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  Generated Case study

Inspiration

People rarely get to practice decision‑making across unfamiliar systems or constraints. SIMFORGE was inspired by the idea that flexible thinking is best developed by exposure to diverse, rule‑based scenarios rather than static explanations.

What it does

SIMFORGE creates realistic case studies within either real‑world or fictional systems defined by explicit rules and laws. Users interact with these scenarios, analyze constraints, and reason through outcomes, helping them build adaptability and logical consistency.

How we built it

SIMFORGE was built using the Gemini 3 API via Google AI Studio. Gemini 3 is used to generate internally consistent worlds, enforce rule‑based reasoning, and produce logically grounded case studies. The interface was built using React and TypeScript.

Challenges we ran into

Ensuring logical consistency across generated scenarios was the primary challenge. This required strong system instructions to prevent contradictions and speculative outputs.

Accomplishments that we're proud of

-Built a world‑aware scenario generator -Maintained logical consistency across cases -Used Gemini 3 as a reasoning engine, not a chatbot

What we learned

-Constraints improve reasoning quality -Structured prompts outperform open conversation -Gemini 3 excels at rule‑based generation

What's next for SIMFORGE

Future versions could support multi‑step simulations, adaptive difficulty, and domain‑specific training scenarios.

Built With

• google-gemini3-api
• react
• tailwind-css
• typescript