light-competition

You can prepare a complete student competition proposal package by drafting core pages modeled after NIH Specific Aims, which then auto-generates aligned Lean Canvas, budgets, and roadmaps to ensure cross-document consistency.

Generating market analysis visuals like TAM/SAM/SOM charts for a pitch deck is done by applying structured templates with sample data, producing exportable graphs and 2x2 competitor maps using matplotlib.

Yes, you can auto-generate a Lean Canvas and budget from a single project abstract by filling in the core pages, which automatically populates the full proposal structure with consistent data across all artifacts.

This competition preparation workflow handles defense Q&A and AI usage disclosure by providing structured templates for defense prep and enforcing data provenance along with AI usage disclosure across all deliverables.

You create a tech roadmap and Gantt chart for a university competition submission by using the built-in progress planning templates, which structure your timeline and export visual graphs for the final deliverables.

Limitations of using Lean Canvas templates for cross-material consistency checks include dependencies on matplotlib for visual exports and strict adherence to university-level competition formats, which may not fit all contest types.