Use a Research Agent for Academic Work
A research agent is an AI assistant that decomposes and executes connected research tasks. You provide the question, material scope, and output requirements; it assists with search, reading, writing, and revision. Every step needs explicit verification criteria.
Inputs, Outputs, and Verification for Four Task Types
The Agent Executes the Task; the Researcher Validates It
Decomposes tasks
For a request to map a field, it plans keywords, source scope, and extraction fields before searching and organizing.
Connects to real sources
Search results include verifiable titles, authors, publications, and source links.
Supports iteration
If the first result is unsuitable, revise keywords, source scope, and extraction fields through feedback.
Useful across disciplines
Interdisciplinary work uses multiple vocabularies. The agent can expand common expressions across fields for the researcher to screen.
Evaluated by traceability
Check whether sources open and summaries lead to the original passage. Unverifiable content cannot enter a paper.
Handles bounded ad hoc tasks
It can also trace concepts, organize topic materials, and perform preliminary interview coding.
Four Steps in a Research Agent Workflow
Search
Describe the question, date range, and source types. The agent generates queries, retrieves literature, and groups it by topic.
Read closely
Upload full papers and extract the question, methods, samples, conclusions, and limitations before comparing study designs.
Write
Draft from confirmed materials. Every fact and judgment must correspond to a specific source.
Revise
Select a paragraph, state the goal and content to preserve, then verify facts and citations in the revision.
Use Acadwrite for Connected Search, Reading, Writing, and Revision
Acadwrite keeps research materials, reading records, and drafts in one workspace. The research assistant can process search, reading, writing, and revision consecutively. Citations must be checked against the source, while researchers determine core arguments and novelty.
- The knowledge base stores materials, the editor stores drafts, and the assistant performs tasks
- Search, reading, writing, and revision can reuse the same materials
- Ad hoc research tasks can specify inputs and outputs directly in the workspace
- Start with search and reading because their results are easier to verify manually
Frequently asked questions
How do I verify a research agent's results?
Check that each result opens and each summary leads to a page or paragraph. Unlocatable content cannot be used directly. For important conclusions, verify the population, method, and applicable conditions in the paper.
Can research agents handle niche or interdisciplinary topics?
Ask the agent to expand terminology across fields, then have a knowledgeable researcher screen it. Niche areas may require more databases and citation tracking, plus manual checks for missing terms.
Which tasks still require a researcher?
Researchers define questions, select materials, judge evidence quality, interpret results, and carry academic responsibility. Agents fit bounded tasks such as retrieval, organization, drafting, and formatting.
How does Acadwrite support this workflow?
The workspace combines a material library, editor, and research assistant for connected search, reading, writing, and revision. Researchers verify citations and determine the core ideas and conclusions.
Continue reading
Start with One Clearly Bounded Research Task
Upload recently read papers and specify a question and output fields. Confirm that results lead to the source before continuing to write.