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A guided starting point

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This guided demo follows designed paths. Live AI conversation is not connected.

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Look a little closer · 3 minutes to explore

Is this opportunity worth investigating?

Test a fictional project's fit against grant conditions. Find the match, missing eligibility detail and mismatch before investing in an application.

This example runs in your browser without AI. You can also copy a starter to continue in ChatGPT.

Bring an idea. Shape it. Use what helps.

A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.

Shape your example

Fictional grant: Applications close October 1. Projects must serve the sample district. The page gives no policy on repeat applicants.

Claim 1The sample deadline is October 1.

Sample evidenceThe supplied grant description explicitly states October 1.

Claim 2A previous applicant can apply again.

Sample evidenceThe sample source contains no repeat-application policy.

Claim 3A project outside the district meets the location condition.

Sample evidenceThe sample requires service within the district; the project serves elsewhere.

Something you can use

Separate claims from evidence

Fictional grant: Applications close October 1. Projects must serve the sample district. The page gives no policy on repeat applicants. Classify what the displayed sample supports, then inspect the explanation.

Checked
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Matches the sample
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Use the sample evidence: supported means it backs the claim; uncertain means it does not settle the claim; contradicted means it conflicts with the claim. These are fictional examples.

A little recognition

For the moments like this.

An opportunity looks promising, but reading a headline is not enough to establish fit. Missing rules can matter as much as the conditions the project clearly meets.

What becomes possible

Compare three claims with a fictional grant notice. Check a stated deadline, a missing repeat-application rule and a location mismatch; real eligibility still needs current funder confirmation.

Your next step

Put this to work.

Use the starter in ChatGPT or work with Kevin on your own situation.

Try it in ChatGPT

Copy the starter, open ChatGPT and paste it into a conversation. Add only the details you want to share. Nothing is sent automatically.

Review the starter for ChatGPT
Open ChatGPT

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Work with Kevin

Choose how you want help.

Get guidance while you do the work, or ask Kevin to scope and deliver an agreed result.

Guidance and finished work are priced separately. You and Kevin agree the scope and price before work begins.

Sources, capability notes and how this example works

This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.

Google: How AI is driving impact for nonprofits ↗June 2025. Survey of over 9,000 program organizations; vendor sample and self-reported benefits.

OpenAI: File Uploads FAQ ↗Checked September 11, 2026. File comparison, extraction and analysis require human checks and appropriate permissions.

Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.

Keep a little curiosity

Another useful possibility.

All ten in this path ↗