Agentplace

AI agent for research support consultancies

Your AI academic paper discovery agent. The right papers for their question.

Create an AI academic paper discovery agent with its own page and URL. Help your clients receive a deduplicated reading shortlist with reasons each paper matches the research question through conversation.

Research scope, clarified through conversation.

FFieldnote ResearchLLeah's session

Academic paper discovery agent preview

Leah's mentoring literature shortlist

Leah's sample search narrows remote-work research to empirical studies of mentoring among early career adults.

Sample paper ASample paper BSample paper C
Current focusResearch scope

Early career mentoring

The details that change the result

01Included

Sample paper A

A survey of early career employees compares access to informal mentoring in hybrid and fully remote teams.

02Included

Sample paper B

An interview study describes how new remote employees find mentors during their first year.

03Excluded

Sample paper C

An opinion essay discusses the future of office work without reporting a study sample.

Limit to interview studiesInclude hybrid teams
Ask about research scope or add a detail
01

Your client starts a conversation.Your client clarifies research scope.

02

The page becomes their result.The shortlist updates with the answer.

Illustrative preview
Vlad Yanch

Template by Vlad Yanch

  • 10 minFirst demo
  • 2-3 hoursWorking agent
  • 1 clickPublish

Overview

An AI academic paper discovery agent gives your clients a deduplicated reading shortlist with reasons each paper matches the research question. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the question, population, study design, date range, and databases the client can access.

Your agent uses your search method, inclusion criteria, source access rules, and Bright Data collection workflow. It asks the follow-up question that changes this result. Do you need studies of adults only, or should adolescent samples be included? The page keeps the relevant evidence, choices, and result together as the client responds.

Leah is investigating remote work and early career mentoring. She wants empirical studies of adults and excludes opinion pieces.

Sell a deduplicated reading shortlist with reasons each paper matches the research question as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

Start free with your business idea. Our AI builder can help you explore it, answer questions, and create your agent. No technical specification needed. Sign in to continue.

What you get

AI Academic paper discovery agent for research support consultancies

An AI academic paper discovery agent gives your clients a deduplicated reading shortlist with reasons each paper matches the research question. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the question, population, study design, date range, and databases the client can access.

Sell a deduplicated reading shortlist with reasons each paper matches the research question as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

Ask the question that matters

Use the answers to determine which information belongs in this client's result.

Deliver the shortlist

Keep population, evidence, excluded material visible alongside the explanation.

Continue the client service

Or include it in an existing engagement and offer a follow-up appointment with the result attached.

  • Academic paper discovery agent
  • Population
  • Evidence
  • Excluded material
  • Text and voice interaction
  • Your own client URL

A shortlist reflects the sources searched and the stated criteria. It is not a claim to have completed a systematic review or obtained full text that the client cannot access.

Why it's the best fit

Why conversation matters for this service

Do you need studies of adults only, or should adolescent samples be included? That answer changes research scope and the result your client receives.

Your agent uses your search method, inclusion criteria, source access rules, and Bright Data collection workflow. It asks the follow-up question that changes this result. Do you need studies of adults only, or should adolescent samples be included? The page keeps the relevant evidence, choices, and result together as the client responds.

Your AI academic paper discovery agent

One specialist. The whole client experience.

The extra workWith traditional tools

Websites, fixed-flow apps, and chat widgets.

01The client experience
Understand the real request

Ask about the question, population, study design, date range, and databases the client can access. Use the answers to determine which information belongs in this client's result.

With traditional toolsA service description

A service page can describe academic paper discovery agent. The client still needs to resolve this question before receiving a useful result. Do you need studies of adults only, or should adolescent samples be included?

Keep revisions consistent

Leah is investigating remote work and early career mentoring. She wants empirical studies of adults and excludes opinion pieces. The working result changes from remote work broadly to early career mentoring.

With traditional toolsA fixed form

A fixed form records the initial answer. Changing research scope requires the affected sections and supporting records to be updated together.

Show the work and its sources

Present a deduplicated reading shortlist with reasons each paper matches the research question. Keep population, evidence, excluded material visible alongside the explanation.

With traditional toolsA separate chat widget

A standalone chat can explain a topic. Delivering a deduplicated reading shortlist with reasons each paper matches the research question also needs the source records, relevant tools, and a visible result the client can inspect.

02Everything that comes with your agent
Your service method

Use your search method, inclusion criteria, source access rules, and Bright Data collection workflow.

With traditional toolsSeparate reference documents

The client or service team has to find the applicable rule and carry it into the result.

A useful follow-up

Do you need studies of adults only, or should adolescent samples be included? Preserve the client's answer with the result.

With traditional toolsAnother message exchange

The answer about research scope may sit in a separate email or call note.

Connected delivery

Pass the completed shortlist and its source context through your configured delivery process.

With traditional toolsManual transfer

Someone must assemble the result and its supporting detail before sharing it.

Some traditional tools offer individual capabilities. Agentplace brings them into one AI service. Connect the payments, calendar, phone, CRM, and follow-up channels you want to use.

How it works

Create your AI academic paper discovery agent

Start with one defined client service and test the choices that change its result. Test how the client changes remote work broadly to early career mentoring. The result should preserve the supporting context when it updates.

  1. 01

    Add your service knowledge

    Provide your search method, inclusion criteria, source access rules, and Bright Data collection workflow. Include a representative client input and a completed shortlist so the expected result is clear.

  2. 02

    Test the meaningful change

    Test the change from remote work broadly to early career mentoring. Check that the affected research scope and its explanation update consistently. A shortlist reflects the sources searched and the stated criteria. It is not a claim to have completed a systematic review or obtained full text that the client cannot access.

  3. 03

    Publish your client agent

    Publish the agent at its own URL and share it with clients who need a deduplicated reading shortlist with reasons each paper matches the research question. Configure Bright Data and the delivery or follow-up connections that belong to your service.

Made for your kind of business

Built for research support consultancies

Research support consultancies

Offer a deduplicated reading shortlist with reasons each paper matches the research question without rebuilding the same explanation for each client.

Client service leads

Resolve research scope with the client and carry the source details into the existing service process.

Start with your specialtyResearch support consultanciesClient service teams

Your service, your starting point

Your method and source material

The service starts with your search method, inclusion criteria, source access rules, and Bright Data collection workflow. Choose the relevant apps below and connect the accounts your agent should use.

Create my research agent

Bright Data

Retrieve matching papers. Connect the relevant account and choose which records and actions the agent can use.

Exa

Find source material for the client's question. Connect the relevant account and choose which records and actions the agent can use.

Google Drive

Read papers and documents the client shares. Connect the relevant account and choose which records and actions the agent can use.

Notion

Apply your research framework. Connect the relevant account and choose which records and actions the agent can use.

Google Sheets

Organize evidence and source comparisons. Connect the relevant account and choose which records and actions the agent can use.

Calendly

Book a research review with your team. Connect the relevant account and choose which records and actions the agent can use.

Integrations

Tools your AI academic paper discovery agent can connect

Connect the tools you use to deliver this service. Your agent can use their records and actions while helping clients on its own page. Choose the relevant connections below and decide what it can read, create, or send.

  • Bright DataRetrieve matching papers
  • ExaFind source material for the client's question
  • Google DriveRead papers and documents the client shares
  • NotionApply your research framework
  • Google SheetsOrganize evidence and source comparisons
  • CalendlyBook a research review with your team
Agentplace
Your AI
academic paper discovery agent

Your expertise.
Their personal result.
One connected service.

Start with your materials. Add the connections your client service needs.

Go further with 1,000+ integrations.

Agentplace connects to business tools through Composio's catalog of over 1,000 integrations. These six examples are a starting point. Choose the apps and actions your agent needs while clients keep working on its page.

Available connections depend on the app's API and your account permissions.

Browse the integration catalog

Connected agents

Connect to your ChatGPT or Claude agents

The client works with your Agentplace academic paper discovery agent. If you already use other agents or automations, connect only the supporting tasks that belong to this service.

A configured supporting workflow can retrieve matching papers, then check the inclusion criteria. It returns its output to the client-facing agent for the same service.

Your clients Leah

Early career mentoring

Early career mentoring
Agentplace
Your AI
academic paper discovery agent

Your expertise.
Their personal result.
One connected service.

Your back-office agents
ChatGPT
Claude
  • Retrieve matching papers
  • Check the inclusion criteria
  • Return the cited shortlist
Your client keeps working with the same AI academic paper discovery agent. Connected tools and agents return supporting results to that service.

A few things to know

AI Academic paper discovery agent FAQ

What is an AI agent for academic paper discovery?

An AI academic paper discovery agent gives your clients a deduplicated reading shortlist with reasons each paper matches the research question. Agentplace gives this agent its own page and URL. Clients open the link and use text or voice to work through the question, population, study design, date range, and databases the client can access.

What does the client receive?

A deduplicated reading shortlist with reasons each paper matches the research question. Leah is investigating remote work and early career mentoring. She wants empirical studies of adults and excludes opinion pieces. The example is fictional and illustrates the configured service rather than a live transaction.

What should I provide before launch?

Provide your search method, inclusion criteria, source access rules, and Bright Data collection workflow. Define the expected inputs, the result format, and the questions that require more information. Test the service with remote work broadly and early career mentoring so the changed requirement is reflected throughout the result.

How does this differ from a form or chat widget?

Your agent uses your search method, inclusion criteria, source access rules, and Bright Data collection workflow. It asks the follow-up question that changes this result. Do you need studies of adults only, or should adolescent samples be included? The page keeps the relevant evidence, choices, and result together as the client responds. The AI agent controls the whole result page, so the current shortlist, supporting detail, and next question remain visible together.

Which tools can my AI agent connect?

Bright Data can retrieve matching papers. Exa can find source material for the client's question. Google Drive can read papers and documents the client shares. These are examples from Composio's catalog of over 1,000 integrations. Choose the relevant apps and account permissions for your service. Clients keep working with your AI agent on its own page.

What should this service not claim?

A shortlist reflects the sources searched and the stated criteria. It is not a claim to have completed a systematic review or obtained full text that the client cannot access.

Can this support my existing business model?

Sell a deduplicated reading shortlist with reasons each paper matches the research question as a defined digital service. Or include it in an existing engagement and offer a follow-up appointment with the result attached.

Is the preview live?

No. The preview illustrates Leah's fictional experience. Your working agent needs your materials and the connections you choose. The displayed launch times are planning estimates for a demo and a configured service, not a delivery guarantee.

What platform does the AI Academic paper discovery agent run on?

It runs on Agentplace. Agentplace is an AI agent platform where the agent gets its own page, talks to your visitors there, and carries the request through to the end instead of handing it to a form. You can open this template and change any step before you publish it.

AI academic paper discovery agent

Create your AI academic paper discovery agent.
The right papers for their question.

Help clients receive a deduplicated reading shortlist with reasons each paper matches the research question using your method and chosen tools.

Create my research agent