What kind of research can it do?

Market analysis, competitive intelligence, topic deep dives, trend monitoring, fact-checking — anything that involves searching the web and reading articles.

How does it handle multiple sources?

Your agent reads each source in full, extracts key findings, cross-references information, and notes conflicts. The final report synthesizes everything into a coherent summary.

Can it do recurring research?

Yes. Schedule daily or weekly research tasks using natural language. Your agent will run the research and deliver updated findings on your chosen cadence.

How is this different from ChatGPT?

ChatGPT answers from its training data. Fasrad agents actively search the web, read live pages, save reports to files, email results, and remember your past research — with scheduling and memory built in.

Does it cite sources?

Yes. Every claim in the report links back to the source URL the agent pulled it from, so you can verify or dig deeper.

Can reports land in Google Docs or a spreadsheet?

Yes — your agent can save the full report as a PDF or DOCX, email it to you, or write findings into a Google Sheet row by row for structured follow-up.

AI Research Agent that does the digging

Your agent searches the web, reads full articles, compiles findings, and delivers structured reports — hours of research in minutes.

Your AI research agent — deep research, delivered

Most research isn’t hard because the answers are missing. It’s hard because finding and synthesizing them takes hours. Fasrad’s AI research agent does what you’d do if you had the time: search the web, read the best articles in full, cross-check the facts, and deliver a structured report with citations.

Give your agent a research brief in plain language — *“compile a competitive overview of the top five workflow automation tools with pricing, target customer, and key differentiators”* — and it goes to work. It uses live web search and full-page reading (not summaries or snippets), pulls data from the sources that matter, notes contradictions between sources, and assembles everything into a clean report.

Strongest benefits:

Live web reads, not training data — every fact sourced from a current URL, with citations.
Structured reports — outline, sections, tables, and source list in your chosen format.
Recurring research — daily trend scans, weekly competitor monitoring, monthly industry briefings.
Multiple output formats — PDF, DOCX, Google Doc, or Sheet rows for structured follow-up.
Memory across queries — remembers what was covered so reports get updated, not duplicated.

Results get saved as a file, emailed to you, or dropped into a Google Doc — whatever you’ve configured. Schedule recurring research and your agent runs it on its own. Because it has memory, it tracks what it has already covered; because it has tools, it can save data to a spreadsheet, generate a PDF, or file findings in Drive for later.

Compared to ChatGPT, the difference is live sources, structured output, and persistence. ChatGPT draws on training data with a cutoff. Your Fasrad research agent reads today’s pages, saves the report, and remembers your past research — so each new query builds on the last, not from scratch.