Shop / Prompts & Skills / Grant Application Answers for Nonprofits — AI Prompt That Drafts From Your Real Figures

The grant question you can't answer yet is data, too

Every funder form has one: the question your organisation cannot honestly answer yet — last year's count of people served, documented nowhere. The tempting move is a plausible number. The useful move is a blocked slot: the answer is refused, the missing evidence is named, and the rest of the application keeps moving. Here is what that looks like in a real output.

**Q1 — READY:** River Table is a volunteer-run community food distribution group (N1). It operates a weekly collection and handoff on Saturdays (P1).

**Q2 — BLOCKED:** TO VERIFY — documented count of people served last year.

**Evidence:** N1 maps to volunteer-run purpose; P1 maps to weekly activity. No invented annual beneficiaries. **Submission:** human review required; Q2 incomplete.

Sample data above is fictional, shown so you can judge the output before buying.

What a blocked slot still does

What never happens to a blocked slot

It is not estimated, rounded from a neighbouring figure, or borrowed from a similar organisation. The sample's audit line is blunt: no invented annual beneficiaries. The grant answers skill treats an undocumented slot as a stop sign, not a gap to wallpaper over — and the evidence ledger shows a funder-facing reviewer exactly which answers rest on documents and which one is still waiting for its proof. The drafting method itself is covered in our earlier guide, Answering Grant Application Questions From Your Own Documents.

The tool for this job

Grant Application Answers for Nonprofits — AI Prompt That Drafts From Your Real Figures — Answer the funder's actual questions with your organisation's real numbers. This skill drafts grant application answers question by question from your documented facts, and blocks any slot where the evidence isn't there yet.

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Questions

Does it fill in missing details?

No — its instructions prohibit inventing details and require flags for uncertainty; AI output can still be wrong, so you must review it.

Do I need a paid add-on, API, or connected account?

No — you need access to a compatible AI chat; access limits and any chat-service charges depend on that provider.

Is the draft ready to send or publish without review?

No — the status and source checks are intended to support human verification first.