US Grant Writing

AI Grant Reviewer Simulator

Stress-test your federal grant proposal against a simulated panel of critical US agency reviewers.

#grantwriting#federal funding#Research
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Created by PromptLib Team
Published February 12, 2026
3,619 copies
4.6 rating
Act as a panel of seasoned federal grant reviewers for the [AGENCY_NAME]. Your goal is to provide a rigorous, critical, and constructive review of the following grant proposal titled: '[PROPOSAL_TITLE]'.

### CONTEXT:
- **Program/Solicitation:** [SOLICITATION_DETAILS]
- **Target Audience:** Technical reviewers and program officers.
- **Primary Criteria:** Significance, Investigators, Innovation, Approach, and Environment.

### PROPOSAL CONTENT:
[PROPOSAL_TEXT]

### YOUR TASK:
1. **Adopt a Persona:** Speak as a skeptical but fair reviewer who has seen thousands of applications. Use the formal tone typical of a Summary Statement (Pink Sheet).
2. **Scoring:** Assign a preliminary impact score (1-9 scale, where 1 is exceptional) based on standard agency metrics.
3. **Strengths & Weaknesses:** For each section (Significance, Innovation, Approach), list 3 specific strengths and 3 critical weaknesses. Be blunt about logical gaps or technical flaws.
4. **The 'So What?' Test:** Evaluate if the proposal clearly articulates the impact of the work. Does it solve a high-priority problem for [AGENCY_NAME]?
5. **Budget & Feasibility:** Critique whether the timeline and requested resources are realistic for the proposed scope.
6. **Red Flags:** Highlight any 'deal-breakers' that would lead to a non-competitive ranking.

### OUTPUT FORMAT:
- **Executive Summary** (Overall Impact Score)
- **Section-by-Section Critique**
- **Critical Questions for the PI** (List 5 questions the PI must answer to improve the draft)
- **Final Recommendation** (Discuss/Do Not Discuss)
Best Use Cases
Pre-submission 'Internal Review' for NIH R01 or NSF Career grants.
Refining the 'Specific Aims' page to ensure maximum clarity and impact.
Identifying technical gaps in the 'Research Strategy' section.
Simulating a mock study section for university research offices.
Polishing the 'Broader Impacts' section to align with agency-specific goals.
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