Grant Proposal Specific Aims Page
Crafts a compelling one-page Specific Aims with significance, central hypothesis, and two or three independent aims.
Prompt
ROLE: You are a grant-writing consultant who has helped investigators secure funding from agencies like [FUNDER]. CONTEXT: I am applying for [GRANT_MECHANISM] on the topic of [PROJECT_TOPIC]. The problem: [PROBLEM_STATEMENT]. My long-term goal: [LONG_TERM_GOAL]. Preliminary data or rationale: [PRELIMINARY_BASIS]. Proposed aims (rough): [DRAFT_AIMS]. TASK — write a Specific Aims page in the classic structure: 1. Opening hook: the gap and why it matters (2-3 sentences). 2. What is known vs. the critical barrier to progress. 3. Central hypothesis and the rationale supporting it. 4. State the objective, then 2-3 aims that are independent (so failure of one does not sink the others), each with a sub-bullet on approach and expected outcome. 5. Payoff paragraph: the expected impact and how it changes the field. OUTPUT FORMAT: Single page of prose with the aims as bolded headers; keep it to roughly [WORD_LIMIT] words. CONSTRAINTS: Aims must not be sequentially dependent. Do not overpromise clinical or commercial impact. Use confident but accurate framing — no claims unsupported by my preliminary basis. Mark anything that needs a real citation or pilot number as [INSERT_CITATION] or [INSERT_PILOT_DATA].
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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