top of page

1. Information Discovery & Retrieval

What it does

  • Searches the web, databases, and internal documents

  • Queries academic sources (papers, journals, preprints)

  • Pulls data from APIs, PDFs, and spreadsheets

Examples

  • Finding peer-reviewed studies on a medical treatment

  • Pulling government statistics from census or labor data

  • Searching company filings or technical documentation

📚 2. Reading, Parsing & Understanding Sources

What it does

  • Reads long documents (PDFs, reports, books)

  • Extracts key facts, arguments, and figures

  • Identifies sections like methods, results, and conclusions

Examples

  • Extracting conclusions from a 40-page research paper

  • Pulling definitions and formulas from technical specs

  • Identifying methodology flaws or assumptions

🧠 3. Summarization & Synthesis

What it does

  • Summarizes individual sources

  • Combines multiple sources into a coherent overview

  • Identifies consensus, disagreements, and trends

Examples

  • Writing a literature review

  • Producing an executive summary for policymakers

  • Comparing findings across multiple studies

4. Source Evaluation & Credibility Checking

What it does

  • Assesses reliability and bias

  • Flags outdated or contradictory sources

  • Cross-checks claims across references

Examples

  • Distinguishing peer-reviewed studies from opinion pieces

  • Detecting inconsistent statistics

  • Ranking sources by credibility

🧮 5. Data Extraction & Analysis

What it does

  • Extracts tables, figures, and datasets

  • Performs basic statistical analysis

  • Identifies patterns, correlations, or anomalies

Examples

  • Extracting GDP figures from reports

  • Calculating averages, trends, or projections

  • Comparing datasets across years or regions

🗂️ 6. Knowledge Organization

What it does

  • Builds structured representations (tables, outlines, graphs)

  • Tags concepts and relationships

  • Creates timelines, taxonomies, or knowledge graphs

Examples

  • Mapping how theories relate to each other

  • Creating a timeline of events

  • Organizing sources by theme

✍️ 7. Research Writing & Reporting

What it does

  • Drafts reports, briefs, or white papers

  • Writes in academic, technical, or plain-language styles

  • Formats citations and references

Examples

  • Drafting a grant proposal

  • Writing a technical memo

  • Preparing presentation slides

🔁 8. Iterative Question Refinement

What it does

  • Refines research questions based on findings

  • Suggests next steps or missing data

  • Identifies gaps in existing research

Examples

  • Narrowing a broad research question

  • Suggesting follow-up experiments

  • Identifying understudied populations

🤝 9. Tool & Agent Orchestration

What it does

  • Calls other tools or agents (search, code, data analysis)

  • Coordinates multi-step workflows

  • Automates repetitive research tasks

Examples

  • One agent gathers sources while another summarizes

  • Automatically updating a research dashboard

  • Running scheduled monitoring tasks

🧩 10. Decision Support

What it does

  • Converts research into actionable insights

  • Presents options, trade-offs, and risks

  • Supports policy, business, or scientific decisions

Examples

  • Advising which strategy has strongest evidence

  • Comparing policy outcomes

  • Highlighting uncertainty and confidence levels

Agent_flow2.jpg
Agentfloe 1.webp

What are common things a Research AI Agent will do?

bottom of page