Generate and quality-check research proposals with AI agents

A team of AI agents drafts a full research proposal, checks its quality, and flags anything that needs your review.

How the work actually flows

It branches. Exactly one path is taken; runs once per one per proposal section.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("you start with a topic")):::human s0["lead agent assigns specialists"]:::task s1[["specialists research and draft"]]:::mi s2["qc agent reviews draft"]:::task trig --> s0 s0 -->|"one per one per proposal section"| s1 s1 --> s2 gx{"× does draft pass quality bar"}:::gate s2 --> gx p00["format and save proposal"]:::task gx -->|"passes"| p00 p10["flag draft for your revision"]:::task gx -->|"fails"| p10 p00 --> out p10 --> out out[/"quality checked proposal drafted"/]:::out pay{{"hours saved writing grant proposals"}}:::pay out --> pay s1 -. "failures recorded, run continues" .-> out classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepRuns once per itemA personOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous Systems
Connects
OpenAIGoogle Sheets
Featured in

The problem it solves

Writing a research proposal from scratch takes hours of drafting, checking funding requirements, and making sure you haven't missed ethics or impact sections. It's easy to end up with something that's inconsistent or misses what a reviewer is looking for.

Who it fits

Researchers, academics, and grant writers who need well-structured proposals without doing every draft by hand.

How it works

  1. You start the process with a topic or funding opportunity
  2. A lead AI agent assigns the work to specialist agents covering research content, strategy, and ethics and impact
  3. The agents pull in funding agency requirements and current web research
  4. A quality control agent reviews the draft against a quality bar
  5. Proposals that pass are formatted and saved, while weaker ones are flagged for your revision
What you get

A proposal draft ready for your signature

You get a structured research proposal drafted and quality-checked, with weak sections flagged for you to revise.

What you get

A structured, quality-checked research proposal, or a flagged draft that shows you what still needs work.

What you need

An OpenAI account, a web search API, and a spreadsheet or database for storage.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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