# AI Research Assistant: Match the Agent to the Report You Owe > An AI research assistant fits the report you owe: a sourced answer, a comparison table, a deck, a weekly report. See which agent platform covers which. _Source: https://professionalstoolkit.com/articles/ai-research-assistant — The Professional's Toolkit · updated November 2026_ _Part of: [Research a topic with AI and get a report you can check](https://professionalstoolkit.com/solutions/research-with-ai) — the guide, the do-it-yourself version and the tools that do it_ --- An AI research assistant is software that takes a question, searches and reads many sources on its own, and returns a report whose claims point back to where they came from. No single product covers the whole job. Which one fits depends on what you owe someone at the end: a one-time answer with sources, a comparison table, a deck or dataset, the same report every week, or research over your own files and apps. Agent platforms cover those deliverables in different ways. One part stays with you. A cited report is not a verified report, so open the sources. **5-10 min** — what Google says a Gemini Deep Research report usually takes - **3 columns** — in a source log: claim, source, checked by me - **20** — parallel sub-tasks at a time in Manus Wide Research - **2 hours** — ceiling for one Genspark Super Agent job ## A one-time answer with sources: the AI research assistant you already have Under the hood, most of these tools work the same way. Anthropic describes its own Research feature as an agent that plans a research process from the user's query, creates parallel agents that search at the same time, and then passes the findings through a citation step that ties claims to their sources.[1] Plan, gather, cite. For a single question that ends when you have read the answer, that core is the whole job. The assistant you already have covers it. ChatGPT's deep research proposes a plan you can review and modify, and OpenAI says all deep research outputs include citations or source links so you can verify the information.[2] OpenAI also says deep research can work with uploaded files and enabled ChatGPT apps, which reaches partway into the last deliverable on this page. Google says a Gemini Deep Research report usually takes about 5-10 minutes.[3] Our guide to [deep research](/articles/deep-research) walks through that route step by step. Agent platforms earn a place when the deliverable changes. Someone wants forty rows instead of an essay. Someone wants a file instead of a chat reply, or the same report every Monday without being asked. The method itself, from framing the question to checking the answer, is in our overview of [AI for research](/articles/ai-for-research). The table below starts from what you owe and works back to what the assistant must do. | What you owe | The assistant must | Ask before you commit | Look at | |---|---|---|---| | A one-time answer with sources | Plan the steps, read pages, tie each finding to a source | Can I edit the plan before it runs? Is the link next to the claim or in a list at the end? | The deep-research mode you already have | | A comparison table of many similar items | Give every item the same treatment | Does it reach sources behind my logins? | Manus AI | | A deck, document or dataset | Finish the file, not only the findings | Which formats can I edit afterward? | Genspark | | The same report every week | Run again on a schedule | Does it run without me opening it? | Gumloop, Relevance AI | | Research over your own material | Read files, mail and connected apps | Which apps, and only when I ask? | Lindy, CrewAI | > 💡 **Write the brief like a work order:** State the question, the time window, the region, the sources to prefer and the output format. A vague brief returns a long report about the wrong thing. ## A comparison table of many similar items Some questions are really one question asked forty times: every competitor in a segment, every vendor on a shortlist, forty papers on one method. The deliverable is a table, and a table is only useful when each row was researched the same way and can be compared with the row above it. That calls for a **deep research agent** that plans its own steps, splits the list and works through the items side by side instead of one after another. ### Manus AI — Many similar items researched in parallel Manus researches the web in its own cloud browser. For many similar items, Wide Research gives each item its own sub-agent, runs 20 sub-tasks at a time and merges the results into a table, report or dataset. Output can be a report, PDF, slides or a dashboard, and a schedule can deliver recurring reports. - Where it stops: Wide Research starts automatically and cannot be started manually. It is not on Free and is not meant for a single deep dive or fewer than 10 items. Manus cannot estimate a task's credit cost before it runs. - Plan: Pro or Team for Wide Research - [Wide Research in practice](https://professionalstoolkit.com/articles/manus-ai-for-researchers) · [Manus AI](https://professionalstoolkit.com/tools/manus-ai) Manus AI fits the list-shaped question. Our guide to [Manus AI for researchers](/articles/manus-ai-for-researchers) shows how to phrase such a request so each item gets the same treatment. When a source sits behind a login, Browser Operator reads it in your own Chrome or Edge with your sessions. That desktop browser has to stay online while it works. Before the table goes to anyone, decide who opens the sources, and how many rows that person checks. > 💡 **Ask for a source on every row:** When the deliverable is a table, request one column for the URL and one for the date read. A row without a source gets cut, not trusted. ## A deck or a document that lands in someone's inbox Some research ends when you have read the answer. Other research ends when a file reaches a person who never saw the chat: a slide deck for Thursday's meeting, a written brief, a spreadsheet a colleague will sort and filter. The finding is half the work. The other half is a finished file in a format the recipient can open and you can still edit. A tool for this deliverable is closer to a workshop than to a chat window. ### Genspark — From one question to a finished deck Super Agent plans the steps, runs them on a cloud computer and returns a report, deck, spreadsheet or web page. Deep Research and Fact Check are separate named products, Search Web replies in AI Chat carry source links, and SecondBrain reads your connected apps on request. - Where it stops: Super Agent cannot run scheduled jobs; recurring work belongs to Workflows. A job can run up to 2 hours, every run and retry uses credits, and AI Slides refuses pages behind a sign-in. - Plan: Source links in Search Web replies on every plan, including Free - [Genspark](https://professionalstoolkit.com/tools/genspark) Genspark fits the person who owes someone a deliverable more than a dataset. One question in, one deck or document out. If the result is a presentation, its AI Slides tool has a [Verify content step](/articles/genspark-ai-slides) that marks each slide as verified or as a possible issue. Treat those marks as a reading order for your own check, not as the check. Start with the flagged slides, then open the sources behind every number you plan to say out loud. > ⚠ **A citation is not a check:** Manus itself lists invented papers or citations among its agent's failure modes. On any tool, open the source behind every number you plan to repeat. ## The same report every week A one-time report goes stale. Competitor pages change, new entrants appear, and a number you quoted in March is wrong by June. A report that comes back every week needs a trigger, a fixed output format and a source on every row, so the weekly review takes a few clicks instead of an afternoon. Two products lean this way. Neither has a free plan. ### Gumloop — A source URL behind every fact Agents use Web Search and Web Fetch, and a ready-made research agent handles recurring research with a source URL behind every fact. Results come as CSV, a spreadsheet, markdown or a dashboard. Scheduled triggers and a web-monitor trigger rerun the work, and Company Brain searches your own connected sources with citations. - Where it stops: No free plan, only a one-time trial of Pro that needs a card. A trigger turns off after 3 failed runs in a row, and when credits run out agents stop and trigger runs fail. - Plan: Pro - [Gumloop](https://professionalstoolkit.com/tools/gumloop) Gumloop suits a marketer or operations lead who watches a fixed list: pricing pages, product changelogs, a set of search terms. A reviewer can then spot-check ten rows in a few minutes. That is what keeps a weekly habit alive. If your research is mostly rows pulled from pages, our guide to [web scraping tools](/articles/web-scraping-tools) covers that job in more depth. ### Relevance AI — Research templates for sales and marketing Deep Researcher is one of four built-in Chat agents. For repeatable work you build a custom research agent with a Google Search step and page-reading steps, or start from a Marketplace template such as a competitor battlecard agent that sends weekly digests. Slide Builder turns findings into a deck. - Where it stops: No free plan. Standard tools and agents stop after 15 minutes; a 24-hour tool type exists for long jobs. Failed runs and retries still count against the plan. - Plan: Deep Researcher on all plans (Pro, Team, Enterprise) - [Relevance AI](https://professionalstoolkit.com/tools/relevance-ai) Relevance AI makes sense when the weekly report feeds a routine that already exists, such as preparing for sales calls or briefing a marketing team. The template route gets you a working agent quickly, but cloning a template does not copy its knowledge, triggers or secrets, so budget time to add your own. Put an approval step in front of anything the agent sends to other people. Plan the setup at a desk. The builder runs only in a desktop browser. ## Research over your own files, apps or code Not every question is about the open web. *What did this customer tell us last quarter, and what has changed at their company since?* is half internal. And some teams want the whole pipeline in code they control, with their own models and their own documents. Those two cases sit at opposite ends of the skill range, and one product in our catalog fits each. ### Lindy — Web research mixed with your work context You ask in Slack or chat, and Lindy combines your work context (emails, meetings, calendar) with web research for an ad hoc answer. Results can come back as Artifacts pages. - Where it stops: Built for ad hoc questions asked in Slack or chat. Free is a 7-day start, not an ongoing plan. - Plan: A paid plan (Plus, Pro or Max) after the 7-day start - [Lindy](https://professionalstoolkit.com/tools/lindy) Lindy fits the quick question with context attached, asked where you already work. Ask in a direct message and the answer is private. Ask in a channel and the whole channel sees it, which matters when the context includes your email. Lindy's own docs say it can make mistakes and to review what it produces. For a long market scan with many sources, start with one of the report-first tools above. ### CrewAI — A research pipeline in your own code The official first-crew guide builds this exact job: a researcher agent with a search tool that writes a markdown report. You pick the search provider and the model, and CrewAI AMP can run the crew on a schedule. - Where it stops: The framework needs Python skills. Search tools need their own provider keys and every agent step calls your own LLM provider key. On AMP, Basic allows 2 automations and 50 workflow executions a month. - Plan: The open-source framework has no plan; scheduled runs on CrewAI AMP Basic - [Search tools, RAG and local models](https://professionalstoolkit.com/articles/crewai-for-research-teams) · [CrewAI](https://professionalstoolkit.com/tools/crewai) CrewAI is the developer lane. It fits a team that wants to choose the search provider, point the agent at internal PDFs and spreadsheets, and keep the run inside its own stack. A fully local path with Ollama exists. Our guide to [CrewAI for research teams](/articles/crewai-for-research-teams) covers the search tools and the document setup. Nobody on the team writes Python? Skip this one. ## When one question turns into several deliverables A research problem is rarely solved by one tool. The simplest pairing uses what you already have. Run the question in the deep-research mode of ChatGPT, Gemini or Claude, and keep a source log in a spreadsheet with three columns: claim, source, checked by me. Move to a product at a specific point: when the question recurs, when it must end in a deck or a dataset, or when the answer depends on your own files and apps. Two products can also split the work. An **AI agent for deep research** across a long list, such as Manus AI, builds the first table. Export it. A scheduled Gumloop agent can then keep the same rows fresh, each with its source URL. At the end of the quarter, the checked findings become the brief for a Genspark deck. Each handover is also a checkpoint: a person reads the table before the next tool builds on it. Sort by the deliverable, not by the feature list, then run three checks against your own work. How many items or sources will a typical run cover? Who opens the sources, and how long does that take? Where does the output have to end up? The answers remove most options quickly. Each card above links to the page where that product's plans and limits are laid out, so settle the deliverable first and the plan second. ## FAQ **Is a deep research agent different from an AI chatbot with web search?** Yes, in depth and time. OpenAI's help page puts it this way: search quickly returns a short summary with links, while deep research takes more time to read and analyze many sources and produces a detailed, documented report. **How long does an AI agent for deep research take?** Minutes for a single report, longer for a full agent job. Google says a Gemini Deep Research report usually takes about 5-10 minutes, and a Genspark Super Agent job can run up to 2 hours. Add your own review time on top. **Can an AI-powered research assistant read my own files and apps?** Several can. Genspark's SecondBrain reads your connected apps on request, Gumloop's Company Brain searches your connected sources with citations, and Lindy combines your emails, meetings and calendar with web research. **Is there a free AI-powered research assistant?** Some start free. Genspark and Manus AI have Free plans, though Manus Wide Research is not on Free. CrewAI's framework is open source but runs on your own provider keys. Gumloop and Relevance AI have no free plan. ## Run one real question twice before you commit Pick a question you answered by hand in the last month, so you already know what a good answer looks like. Run it in the deep-research mode you already have, then in one platform from the section that matches the report you owe. Compare three things: which claims you could trace, which sources you would have rejected, and how much editing the deliverable needed. Keep the tool whose mistakes were easiest to find. That is the one you can supervise. ## Sources [1] Anthropic — https://www.anthropic.com/engineering/multi-agent-research-system (Nov 2026) [2] OpenAI Help Center — https://help.openai.com/en/articles/10500283-deep-research-faq (Nov 2026) [3] Gemini Apps Help — https://support.google.com/gemini/answer/15719111?hl=en (Nov 2026)