You’ve spent hours tweaking a proposal, only to get a polite “not aligned with our priorities.” The real pain? Your AI assistant searched for keywords like “community” and “innovation” but missed the funder’s actual logic: they fund capacity-building, not direct service. Keywords are cheap. Alignment is hard.
The key isn’t better prompts—it’s teaching AI to reason about alignment the way a human grant writer does. That means feeding it three things every time: your organizational snapshot, the funder’s full guidelines (not just bullet points), and any past feedback from that funder. Then you run what I call an Alignment Interrogation.
The principle: AI can map your project’s logic to the funder’s stated priorities if you provide structured context, not keywords. Use a tool like Claude by Anthropic to process long, messy documents and surface gaps—it excels at comparing narrative intent across large texts.
Mini-scenario: Your nonprofit proposes a youth mentorship program. The funder’s RFP emphasizes “systems change” but your past proposal focused on “individual outcomes.” Feeding both documents into Claude with your organizational mission tag forces the AI to flag that mismatch before you start drafting.
Implementation in three high-level steps:
Build your Organizational Snapshot – A permanent document that captures your mission, core programs, past outcomes, and unique value proposition. Update it quarterly. This becomes the AI’s reference anchor for every new grant.
Create a Funder Profile from the RFP and past feedback – Paste the full RFP text (or your detailed summary) and any previous reviewer comments. Ask the AI to extract the funder’s explicit and implicit priorities. Treat this as a reusable template for that funder.
Run the Alignment Interrogation with a Bridging Prompt – Your prompt should list: your snapshot, the funder profile, and a draft section from a past submission (needs statement, project description, or org background). Ask the AI to score alignment on 1–5 for each of the funder’s top 3 priorities and suggest specific rewrites that bridge gaps. Never accept the output as final—fact-check every statistic, date, or legal claim.
Takeaway: AI won’t replace your judgment, but it can spot alignment blind spots you’d miss. Stop keyword matching. Start feeding structured context: snapshot, funder profile, past work. Then interrogate the AI’s reasoning. The grant that gets funded is the one that proves understanding—not just matching words.
