HTML + Python + C++ + WebLLM + WebGPU

NeuroForge Signal Workstation

Build concept strategies, execution maps, risk readouts, and launch actions through a browser-first interface backed by a local Python service or a Study Buddy-style on-device WebLLM runtime.

Prompt

Mode

Tone

Audience

Depth

Run Source

Local Model

Local Model Runtime

Load a recommended model to run NeuroForge fully on-device, similar to the Study Buddy flow.

Local runtime idle. Backend mode is available immediately.

Sample Sparks

Load one-click prompts to test the pipeline.

Structured Output

Ready for a fresh brief

Run the generator to get a concept frame, execution layers, launch plan, risk readout, and follow-up prompts.

Creativity --

Feasibility --

Launch Energy --

Runtime --

Runtime Diagnostics

Awaiting scan

Concept Frame

Execution Layers

Action Plan

Risks + Mitigations

Expanded Narrative

Creativity score: --

Your generated strategy will appear here.