Wildfire simulation workspace

FireMapSim-v2

A minimal interface for configuring wildfire scenarios, reviewing spatial context, and moving from login to dashboard to simulation workflow without unnecessary product framing.

Map-first scenario setup

Agent-assisted intake

FireMapSim-v2

Replayable project runs

Workspace Preview

Key features

A concise interface for wildfire scenario preparation

The first content section expands the primary capabilities one by one, with the emphasis on task flow rather than feature marketing.

01

Map-first scenario setup

Define project boundaries, ignitions, and fuel breaks inside a spatial workspace designed around wildfire planning tasks.

02

Agent-assisted intake

Use guided prompts and structured actions to populate weather, terrain, and simulation parameters with less manual overhead.

FireMapSim-v203

Replayable project runs

Persist configurations and rerun scenarios so different assumptions can be compared in a consistent workflow.

Tech stack

Implemented with the stack already present in the project

This section stays factual and brief, naming the core technologies that support authentication, mapping, agents, and persistence.

Full Stack

Languages, runtime, UI framework, docs, auth, maps, persistence, and agent wiring used by the app.

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TypeScript

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Bun

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React

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Next.js

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Nextra

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Tailwind CSS

Clerk icon

Clerk

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Leaflet

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PostgreSQL

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Python

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Mastra

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MCP

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FastMCP

AI and Dev Tools

Model providers, coding assistants, and the editor environment used for development.

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Claude

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Claude Code

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Qwen

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Cursor

Cloud and Hosting

Inference routing and deployment targets for the production app.

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OpenRouter

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Vercel

Agentic features

AI assistance is presented as workflow support

This section reflects the current system: structured assistance for configuration, synchronization with the workspace, and orchestration of simulation actions.

Structured workflow guidance

The agent helps gather inputs in a form that stays synchronized with the workspace rather than acting like a generic chat bot.

Execution-oriented orchestration

Agent outputs are shaped to trigger simulation setup, delegate runs, and keep scenario state aligned with backend execution.

Context retention for iteration

Conversation state and project context support repeated refinement as scenarios evolve across multiple runs.

UI features

The interface is designed around map interaction and review

This section highlights the user-facing qualities of the workspace itself: layered context, low-friction controls, and a presentation style suited to research and operations.

Minimal workspace presentation

The interface emphasizes task clarity, readable state, and purposeful controls over product-style marketing treatment.

Layered map workspace

Terrain, weather, and fire overlays are organized into a workspace model suited to geospatial analysis and simulation review.

Responsive working surfaces

Core navigation and summary panels are designed to remain usable across desktop review sessions and smaller laptop layouts.