# Automate Research With AI: Run recurring research workflows that collect sources, filter noise, and deliver a readable brief before you open your laptop. Source: https://zentor.ai/use-cases/automate-research-with-ai Zentor helps you automate research with AI across news, web pages, feeds, documents, and recurring monitoring tasks. Instead of manually gathering links and writing summaries, you get a repeatable research workflow on a cloud computer. ## How it works 1. **Pick The Sources And Goal**: Tell Zentor what topics to track, what sources to trust, what to ignore, and what format you want the research delivered in. 2. **AI Collects And Filters The Research**: The workflow gathers links, removes duplicates, ranks signal, and turns the source set into a concise brief instead of a link dump. 3. **The Brief Arrives On Schedule**: Your research workflow runs on a cloud computer and delivers a recurring brief before you sit down to work. ## Comparison | Feature | ChatGPT / Claude.ai | Perplexity / research tool | Zentor | |---|---|---|---| | Research style | One prompt or question at a time | Great for interactive question-answering | Recurring research workflow with delivery, logs, and saved outputs | | Source tracking | You manage it manually | Usually session-based | Keeps source logs and repeatable collection rules | | Scheduling | Manual prompts only | Usually not built for recurring runs | Runs every morning or week on a cloud computer | | Output artifacts | Answer in chat | Answer plus links | Briefs, logs, reading priorities, and delivered files | | Noise filtering | You re-check and sort manually | Good at fast retrieval, weaker at long-running filtering workflows | Designed to filter signal over time before delivery | | Best fit | Occasional research questions | Interactive research sessions | Teams and operators who want recurring research outputs | ## FAQ ### How can I automate research with AI? Start by defining the topic, the sources, how often the research should run, and what output you want. Zentor can then collect, filter, summarize, and deliver the research as a repeatable workflow. ### What is an AI research assistant good for? An AI research assistant is useful for recurring source collection, filtering, briefing generation, competitor tracking, and turning many inputs into one readable summary. ### Can AI research tools run on a schedule? Yes. That is one of the main advantages of a workflow-based system like Zentor. The research can run every morning, every week, or on a custom schedule without you restarting the task manually. ### How is this different from Perplexity or ChatGPT? Perplexity and chat tools are good for one-off research questions. Zentor is stronger when the job needs to repeat, track sources over time, save files, and deliver a structured brief on schedule. ### Can AI research workflows track competitors and funding news too? Yes. Research workflows can watch product launches, competitor sites, funding announcements, papers, or industry sources and keep those categories separated in the final brief. ### Do I need to read every source myself after the brief arrives? No. A good workflow can rank what to skim and what to read in full, so you spend time only on the items that matter. ### What kinds of outputs can an AI research workflow create? Common outputs include daily or weekly briefings, source logs, saved links, prioritized reading lists, email digests, Slack posts, and workspace files. ### What is the best AI tool for recurring research work? If the work is recurring and needs source collection, filtering, and scheduled delivery, Zentor is a strong fit because it handles the workflow around the research, not just the answer itself.