ChatGPT grant prompts that respect the funder's rubric and your actual program data
Paste the RFP, your outcomes data, and the budget notes you have. ChatGPT drafts narrative sections and tags missing proof as [VERIFY]. Your grants team verifies every number.
In short: This page contains 15 copy-paste ready prompts, organized into 5 categories with a description and pro tip for each. The first 5 prompts are free instantly, no signup needed. Hand-curated and tested by the AI Academy team.
Decode the funder
3 promptsRubric to checklist
1/15✨ What it does
ChatGPT turns grant guidelines into a section checklist with limits and attachments. Confirm [VERIFY] limits against the portal before you outline.
Here is the grant guidelines: [PASTE]. Build a checklist: section, word or page limit, required attachments, scoring criteria if listed. Unknown limits [VERIFY].
Pro tip: Funders repeat the same hidden attachment twice. Checklist beats memory.
Alignment paragraph
2/15✨ What it does
ChatGPT writes one alignment paragraph linking funder priorities to your program summary. Cut or strengthen every [VERIFY] sentence with real partnership facts.
Funder priorities: [PASTE]. Our program: [PASTE PROGRAM SUMMARY]. Write one alignment paragraph in funder language without inventing shared history. Tag weak fits [VERIFY].
Pro tip: Alignment is not flattery. Cite a priority word from their doc in each claim.
Eligibility sanity check
3/15✨ What it does
ChatGPT marks eligibility requirements met or VERIFY from guidelines and org facts. Resolve VERIFY with your grants officer before you draft 40 pages.
From these guidelines: [PASTE] and our org facts: [PASTE ORG FACTS], list eligibility requirements and mark met, not met, or VERIFY for each. No legal advice.
Pro tip: Stop early on a hard not met. ChatGPT will not save an ineligible org.
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Needs and case
3 promptsNeeds statement
4/15✨ What it does
ChatGPT drafts a needs statement from your sourced stats with inline cites. Replace [VERIFY] with citable data before the program officer reads it.
Draft a needs statement for [POPULATION] in [GEO]. Data I have: [PASTE STATS AND SOURCES]. Structure: problem, who is affected, why now, gap. Cite sources inline. Tag missing stats [VERIFY].
Pro tip: One local stat you can defend beats five national stats you cannot source.
Beneficiary story frame
5/15✨ What it does
ChatGPT frames a 150-word beneficiary story from field notes with placeholders for names. Strip every [VERIFY] detail or confirm it with the caseworker.
Turn these field notes into a 150-word beneficiary story for a grant: [PASTE NOTES]. Change names to [NAME]. No invented outcomes. Mark any detail not in notes [VERIFY].
Pro tip: Stories sell need, not fiction. If it is not in the notes, it does not go in.
Problem vs solution split
6/15✨ What it does
ChatGPT splits your notes into problem and solution bullets and flags [DUP]. Fix duplicates before you expand bullets into prose.
From program notes: [PASTE], split content into problem section bullets and solution section bullets. Flag anything that belongs in both as [DUP]. Max 12 bullets total.
Pro tip: Funders reject drafts that solve a problem you never proved. Split first.
Outcomes and logic
3 promptsLogic model sketch
7/15✨ What it does
ChatGPT sketches a text logic model from your program design and tags unmeasured outcomes [VERIFY]. Add a metric or cut each VERIFY outcome.
Build a text logic model: inputs, activities, outputs, short-term outcomes, long-term outcomes. Source: [PASTE PROGRAM DESIGN]. Tag any outcome without a measure [VERIFY].
Pro tip: If you cannot measure it, the funder cannot fund it. Cut fluffy outcomes early.
SMART outcomes rewrite
8/15✨ What it does
ChatGPT rewrites outcomes to SMART format using only numbers from your paste. Fill [TARGET OR VERIFY] with agreed targets from your M&E lead.
Rewrite these outcome statements to be SMART: [PASTE LIST]. Keep numbers only if present in paste. Otherwise use [TARGET OR VERIFY]. One sentence each.
Pro tip: Paste the M&E plan fragment if you have one. ChatGPT will not invent baselines.
Evaluation plan stub
9/15✨ What it does
ChatGPT drafts an evaluation stub with questions, sources, and roles from your program info. Confirm [VERIFY] tools match what staff actually use.
Draft an evaluation plan stub: questions, data source, cadence, responsible role. Program info: [PASTE]. Do not name software we do not use. Tag tools [VERIFY].
Pro tip: Evaluation plans fail on cadence, not jargon. Name who collects data monthly.
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Budget narrative
3 promptsLine item justification
10/15✨ What it does
ChatGPT writes budget narrative paragraphs tied to activities for each major line. Finance must confirm every dollar before upload.
Here is our budget table: [PASTE]. Write a budget narrative paragraph per major line: [LINE LIST]. Tie each to activities in [PASTE ACTIVITIES]. No new line items.
Pro tip: Narrative follows the spreadsheet, not the other way around.
Match and leverage
11/15✨ What it does
ChatGPT drafts match and leverage from your notes with [VERIFY] on unknown amounts. Attach letters or board minutes for every VERIFY amount.
From notes: [PASTE MATCH SOURCES AND AMOUNTS], draft a match and leverage section. Tag any amount not in notes [VERIFY]. Plain language.
Pro tip: Funders audit match. If it is not documented, it is not match.
Salaries defensible
12/15✨ What it does
ChatGPT explains salary lines from duties you pasted with [RATE OR VERIFY] placeholders. HR fills rates; you do not guess.
Explain salary lines for roles: [ROLE LIST] using job duties from [PASTE]. Include FTE and period. Do not invent pay rates. Use [RATE OR VERIFY].
Pro tip: Duty-based justification survives audit. Title-only justification does not.
Assembly and polish
3 promptsSection merge order
13/15✨ What it does
ChatGPT proposes merge order and cuts to fit the funder limit from your section list. Apply cuts yourself; do not let ChatGPT delete proof.
We have drafts: [LIST SECTION TITLES AND WORD COUNTS]. Funder limit: [LIMIT OR VERIFY]. Propose merge order and cuts to fit. No new content.
Pro tip: Cut adjectives before you cut outcomes. Funders notice missing outcomes.
Plain language pass
14/15✨ What it does
ChatGPT simplifies your section while keeping numbers and flagging [DEFINE] jargon. Add one-line definitions for each [DEFINE] term in a footnote.
Simplify this grant section for a general reviewer: [PASTE]. Keep all numbers and proper nouns. Flag jargon you cannot define in 8 words as [DEFINE].
Pro tip: Reviewers are not specialists. If your board member would stumble, fix it.
Final consistency
15/15✨ What it does
ChatGPT lists conflicts between narrative and budget sections with cites. Reconcile headcount and timeline before portal submit.
Compare narrative [PASTE A] and budget narrative [PASTE B]. List conflicts in headcount, timeline, or geography. Cite sentence. Tag unsure [VERIFY].
Pro tip: Portal submit with mismatched headcount is an automatic desk reject at many foundations.
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