What problem does it solve?
Researchers preparing NSFC (National Natural Science Foundation of China) proposals lack access to realistic pre-submission peer review, making it hard to identify fatal flaws, gauge funding risk, and prioritize revisions before the actual deadline.
Core Features & Use Cases
- Multi-Expert Parallel Review: Simulates panels of 7 expert personas (innovation, methodology, foundation, critical, constructive, significance, clarity) across 1-5 independent review groups, with cross-panel consensus aggregation.
- Binary Stage Verdicts: Forces explicit pass/fail judgments for both letter review (函评) and panel review (会评) based on the current draft, with confidence levels and key turnaround actions.
- Funding-Constraint Awareness: Distinguishes genuine design errors from compromises forced by budget limits (e.g., 30-40w youth fund vs 50-60w general program), and shows what an unconstrained design would look like.
- Use Case: Before submitting a youth fund application, run a 3-panel review on your LaTeX proposal directory to receive a P0/P1/P2-prioritized issue list with evidence anchors and a minimal revision sequence.
Quick Start
Ask the AI to review your NSFC proposal directory with three expert panels and save the aggregated report into the proposal folder.