Answer research questions automatically using AI and arXiv papers

Reads a research question, searches arXiv for relevant papers, and returns a summarized answer with citations.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"research question submitted in chat"]:::trig s0["classify question type"]:::task s1["summarize sources into answer"]:::task s2["return answer with citations"]:::task trig --> s0 s1 --> s2 gx{"× general knowledge or academic research"}:::gate s0 --> gx p00["answer from general knowledge"]:::task gx -->|"general knowledge"| p00 p10["search arxiv for papers"]:::task gx -->|"academic research needed"| p10 p11["summarize papers with citations"]:::task p10 --> p11 jn{"○ answer finalized"}:::gate p00 --> jn p11 --> jn jn --> s1 out[/"cited answer to research question"/]:::out pay{{"fast trustworthy research without manual digging"}}:::pay s2 --> out out --> pay 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
Starts itA stepOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsResearch & Market Intelligence
Connects
OpenAIarXiv

The problem it solves

Digging through academic papers to answer a research question takes time you don't have, and it's easy to miss the most relevant recent work. You need a fast, trustworthy summary, not hours of manual searching.

Who it fits

A researcher, analyst, or knowledge team that fields research questions regularly.

How it works

  1. A research question is submitted through chat
  2. AI decides if the question needs general knowledge or academic research
  3. Relevant recent papers are pulled from arXiv
  4. AI summarizes the papers and drafts a grounded answer
  5. Answer is returned with citations and links to the source papers
What you get

Research answers backed by real citations

You get a summarized answer to your research question with linked papers and citations, ready to check before you rely on it.

What you get

A summarized, cited answer to a research question drawn from real academic papers.

What you need

An OpenAI account and access to the arXiv API.

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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