Afrant and ChatGPT for grant writing
Last updated
A general chatbot
Our programme reached thousands of young people last year, and waiting times fell by 40%.
Reads well. Nobody can say where 40% came from.
Afrant
In 2025 we reached 4,320 young people. [change in waiting time: no record]
Annual report 2025, page 6. The gap is yours to fill or cut.
The short answer
Use ChatGPT to reword or shorten text you have already written, a few times a year. Use Afrant when you apply regularly and need three things a general chatbot does not do: check whether you are eligible, draft from your own records with a source for every figure, and keep track of deadlines and reports.
When ChatGPT is enough
- You apply for one or two grants a year.
- You already know the call fits and that you are eligible.
- You have the facts in front of you and paste them in yourself.
- You want help with wording: a tighter paragraph, a clearer title, text cut to a word limit.
- One person does the work, so nothing needs sharing or tracking.
In that case a general chatbot, used carefully, does the job. Check every figure it gives back, and keep personal details out of it.
Where it stops
- It knows only what you give it. ChatGPT can keep files, projects and some memory, but it does not build a checked record of your organisation, and it does not show which page of which document a figure came from.
- It fills gaps. Ask for a baseline it does not have and it may supply one that reads well. In a grant application that is the most expensive mistake there is.
- It does not check eligibility for you. You can paste a call and ask, but nothing tests each open call against your registration, your audits and your budget as a matter of course.
- It does not find calls. It can describe funders in general; it does not hold a checked list of what is open now.
- It forgets the deadline. There is no pipeline, no checklist from the call, no reminder before a report is due.
- It is built around conversations, not applications. Paid team plans allow sharing, but there is no checklist for each call and no record of who changed what in a draft.
Side by side
| ChatGPT | Afrant | |
|---|---|---|
| Knows your organisation | What you upload or tell it; nothing is checked against your documents | A fact sheet built from your documents, confirmed by you |
| Figures in a draft | Plausible; no source | From your records; each links to its page |
| Missing facts | Often filled in | Left as a visible gap |
| Eligibility | Only if you paste the call and ask | Every call checked against its hard rules, with reasons |
| Finding calls | No list of open calls | A directory taken from funders' own pages (small during the pilot) |
| Deadlines and reports | None | Pipeline, checklist from the call, reminders |
| Team | Shared chats and projects on paid team plans | Roles, shared documents, activity log with undo |
| Personal details | Whatever you paste is sent | Masked before text reaches the AI; any file can be kept away from it |
| Rewording a paragraph | Very good | Good |
| General questions about anything | Very good | Not what it is for |
Cost
ChatGPT has a free plan, and paid plans priced per user per month. Its prices differ by country, and its pricing page showed us no figure we could quote when we read it on 13 November 2026, so check it for yours. Afrant is free during the pilot and then $59.99 a month for the whole organisation, with three members included, billed by the quarter, half year or year. Pricing.
The fair comparison is not the subscription. It is one week of a programme manager's time spent on a call the organisation was never eligible for.
How to choose
- Count your applications. Under three a year, a chatbot and a spreadsheet may be enough.
- Ask who checks the facts. If nobody has time to trace every figure, you need the sources showing.
- Ask what you missed last year. A deadline, a report, an eligibility rule read too late: those are what a workspace is for.
For how to use any AI tool safely in an application, see using AI in grant proposals.
Questions people ask
Is ChatGPT good for grant writing?
It is good at rewording, shortening and structuring text you give it. It is unreliable for facts you have not given it: asked to fill a gap, it can write something plausible about your results or your area that is not true. For occasional applications where you supply every fact yourself, it can be enough.
Why pay for Afrant when ChatGPT is free?
Because the costly part of a grant application is not the typing. It is choosing a call you can win, getting every figure right, and not missing what the funder asked for. Afrant checks eligibility against your records, drafts only from your own documents with the sources showing, and tracks the deadline and the reports.
Can I use both?
Yes. You can draft in Afrant, where the facts are, and use a chatbot to rework a paragraph. Keep people's personal details out of any public chatbot.
Does Afrant use ChatGPT underneath?
No. Afrant uses Anthropic's Claude models. More important than the model is what it is given: your own confirmed facts and the text of the call, with instructions not to write a figure that has no source.
Read next
- Afrant and fundsforNGOs PremiumA listings and learning subscription beside a grants workspace: what each does, and why many organisations will use both.
- Using AI in grant proposalsWhether funders accept it, what to disclose, what goes wrong, and how to use it without inventing facts or exposing people's details.
- Proposal writingDrafts written from your own documents. Every figure links to the page it came from, and a claim with no source is flagged.
See it on your own documents.
Afrant is in pilot and opens one organisation at a time. It is free during the pilot, and there is a sample workspace to explore before you upload anything.