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AI Frameworks · eseckel

ai-for-grant-writing

A curated collection of AI tools, prompts, and resources for improving grant applications using language models. The repository organizes services (ChatGPT, Gemini, Grammarly, etc.), sample prompts for common grant-writing tasks, and links to academic best practices.

Source: GitHub — github.com/eseckel/ai-for-grant-writing
4.1k
GitHub stars
514
Forks
Python
Primary language
CC-BY-4.0
License (Requires review (not clearly OSI))

Key facts

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FieldValue
Repositoryeseckel/ai-for-grant-writing
Ownereseckel
Primary languagePython
LicenseCC-BY-4.0 — Requires review (not clearly OSI)
Stars4.1k
Forks514
Open issues0
Latest releaseUnknown
Last updated2026-06-06
Sourcehttps://github.com/eseckel/ai-for-grant-writing

What ai-for-grant-writing is

A Python-based reference repository that catalogs LLM services and prompt templates applicable to academic grant writing workflows, including structured examples for enhancing clarity, persuasion, alignment with funding criteria, and timeline development.

Quickstart

Get the ai-for-grant-writing source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/eseckel/ai-for-grant-writing.gitcd ai-for-grant-writing# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Training researchers on LLM-assisted grant writing

Serves as a structured onboarding resource for academic groups adopting AI tools; provides side-by-side service comparisons and ready-to-use prompt templates for common grant sections (Specific Aims, Significance, Research Strategy).

Building internal grant-writing tooling

Foundation for developing custom grant-writing platforms or assistants; the curated prompts and service comparison can be incorporated into internal workflow systems for research institutions or grants offices.

Developing institutional AI policy and guidance

Provides evidence-based examples and external best-practice links that grants administrators or research compliance teams can reference when establishing guidelines for ethical and effective use of AI in proposal development.

Implementation considerations

  • Curated lists require ongoing maintenance to reflect service feature changes, pricing, and availability; consider assigning responsibility for quarterly updates if integrating into institutional workflows.
  • The prompts are generic templates; effective use requires domain expertise to adapt them for specific research domains, funding agency criteria, and individual research contexts.
  • Service comparison table covers basic capabilities but does not evaluate accuracy, latency, cost-per-use, or integration APIs; evaluation should include pilot testing with real proposals before institutional rollout.
  • User adoption depends on researcher familiarity with prompt engineering; pairing the resource with training or workflow integration (e.g., within institutional grants management systems) will improve uptake.
  • Ethical and compliance guardrails are not addressed; institutions should establish clear policies on disclosure of AI use, authorship attribution, and alignment with funding agency guidelines.

When to avoid it — and what to weigh

  • Seeking production-ready software — This is a curated list, not an application; it contains no deployment artifacts, API, database, or runtime components. It is reference material, not executable code.
  • Needing proprietary or institution-specific grant templates — The repository offers generic prompts and external links; it does not include domain-specific customization for particular funding agencies, research institutions, or grant types beyond examples shown.
  • Requiring ongoing maintenance of third-party service integrations — The list depends on external services (ChatGPT, Gemini, Grammarly, etc.) whose features, pricing, and availability change frequently; keeping entries current requires active curation beyond the repo's scope.
  • Expecting data security or compliance assurance — The repository is educational material; it does not address data handling, FERPA, HIPAA, or institutional security policies that must be evaluated separately before using listed services with sensitive research data.

License & commercial use

Licensed under CC-BY-4.0 (Creative Commons Attribution 4.0 International). This is a permissive, non-commercial attribution-required license. It permits sharing, adaptation, and derivative works provided attribution is given to the original author (eseckel). No warranty or liability is provided.

CC-BY-4.0 permits commercial use and distribution, provided proper attribution is retained. However, any derivative works must also be licensed under compatible terms. If incorporating into a commercial grant-writing SaaS product, ensure attribution is visible and review with legal counsel to confirm compliance with attribution requirements and any patent/trademark claims on listed services.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceModerate
DocumentationAdequate
License clarityClear
Deployment complexityLow
DEV.co fitGood
Assessment confidenceHigh
Security considerations

This repository itself poses no security risk; it is a curated list of links and prompts. However, users must independently evaluate the security posture of each listed service (ChatGPT, Gemini, Copilot, etc.) before sharing sensitive research data, unpublished findings, or institutional proprietary information. Researchers should review each service's data retention, encryption, and compliance certifications (SOC 2, FedRAMP, etc.) with their IT/security teams. No attestations regarding service security are provided by this repository.

Alternatives to consider

Internal institutional grant-writing guidelines or playbooks

Many research universities maintain internal templates, checklists, and best-practice guides specific to their funding priorities and compliance requirements; these may be more aligned with institutional policy than a generic external list.

Grants management platforms (e.g., Grants.gov, eRA Commons integrations)

Purpose-built systems from funding agencies often include proposal writing tools, reviewer feedback, and compliance checklists; they may reduce reliance on generic LLM prompts by providing structured guidance.

Professional grant-writing consulting or workshops

Personalized guidance from experienced grant writers or funding agency program officers provides context-specific feedback and relationship-building that static prompts and service lists cannot replicate, especially for high-value proposals.

Software development agency

Build on ai-for-grant-writing with DEV.co software developers

Explore the curated tools, prompts, and resources in this repository to leverage LLMs effectively. Then consult your institution's grants office and funding agency guidelines to ensure compliance and best practices.

Talk to DEV.co

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ai-for-grant-writing FAQ

Can I use these prompts with any LLM service?
The prompts are written in natural language and should work with most modern LLMs (GPT, Gemini, Claude, etc.), but instruction-following quality and output style vary by model and version. Testing with your chosen service is recommended before relying on it for competitive proposals.
Do funding agencies allow AI-generated content in grant proposals?
This repository does not address agency-specific policies. NIH, NSF, DoD, and other funders have issued guidance requiring disclosure of AI use; some restrict AI in certain sections. You must review the funding announcement and consult your grants office before submission.
Is this repository actively maintained?
The repository shows a recent push (2026-06-06) but has no release versioning and zero open issues. Maintenance cadence is unclear. External service information (features, pricing, availability) changes frequently, so review listed services independently and assume the list may contain outdated information.
Can I use this in a commercial product?
CC-BY-4.0 permits commercial use if you provide attribution. However, you must ensure any derivative works and external services you reference comply with their own licenses and terms of service.

Work with a software development agency

Adopting ai-for-grant-writing is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate ai frameworks software in production.

Ready to enhance your grant-writing process?

Explore the curated tools, prompts, and resources in this repository to leverage LLMs effectively. Then consult your institution's grants office and funding agency guidelines to ensure compliance and best practices.