How to use Genspark Super Agent and keep useful results

Genspark Super Agent carries out multi-step work using tools and files, starting from a request in the homepage chat box or New → Super Agent in the sidebar. Give it a specific deliverable and ask it to deliver every file you want to retain: the new agent’s temporary working files are different from saved file cards, as the Super Agent guide↗ (opens in a new tab) explains. fenbs can keep the checked findings and next steps when the work later continues in another supported AI.

How do you start a useful first task?

Start with a result you can inspect in one sitting. A hypothetical design studio might compare the published accessibility guidance of three conference venues. The job is a sourced comparison with open questions, not permission to choose the venue, contact its staff, or make a reservation.

1. Open the homepage’s central chat box, or choose New → Super Agent in the sidebar.
2. State the result you want, who will use it, and which inputs are approved.
3. Name what the agent may do and which actions require your approval.
4. Ask for evidence next to each important finding and an explicit list of unknowns.
5. Request a delivered file containing the result, rather than leaving it only in the working environment.

Those are web entry points from Genspark’s guide. Its public instructions do not establish identical native-app controls. For your first run, use the documented web workflow and keep the task small enough to review before asking for more.

What should the task instructions include?

Describe the question, the permitted sources, the shape of the answer, and a stopping point. “Research these venues” leaves too much room for interpretation. “Make a table of published access information and separate every unanswered question” gives you something concrete to check.

Compare these three venue websites: [URLs].
Audience: a small team planning a workshop.
Use the venues’ published pages as evidence.
Return a table with the finding, source URL, and anything unclear.
Keep facts separate from suggestions.
Do not contact anyone, book anything, or submit forms.
Deliver the comparison as a file I can download, with a short source list.
Finish with the questions a person still needs to settle.

Use the same pattern for other work: an inventory, a research memo, or an analysis of approved files. Specify what counts as finished. If the agent cannot establish an answer from the permitted material, you want a visible unknown rather than a confident sentence with weak support.

Keep the instructions free of unnecessary private details. A task can be precise without including an entire customer record or every file in a folder. The AI workflow library guide explains how to preserve a useful method after the first successful run.

How do you review a sourced investigation?

Check the sources before evaluating how polished the conclusion sounds. Open each page supporting a finding you may act on. Read the surrounding text, confirm that the page belongs to the intended organization, and check whether the answer preserved any qualifications.

• Does each important claim have evidence you can open?
• Does the cited page support the precise wording of the claim?
• Are missing details left unanswered rather than inferred?
• Does a recommendation depend on a preference only a person can decide?
• Does the delivered file include the sources and unknowns from the conversation?

For the venue example, “the building has an accessible entrance” does not answer every question about room access or a participant’s needs. Keep the original scope visible. Correct an overbroad conclusion before it becomes a checked finding in the lasting record.

Mark the result as draft, checked, or waiting on a person in your own review notes. Then fenbs can keep the accepted findings and the unanswered question together, so the next assistant does not turn unfinished research into a settled decision.

Which files are actually saved?

The Super Agent documentation↗ (opens in a new tab) distinguishes delivered file cards, which stay with the project and remain downloadable, from files merely present in the new agent’s session working environment. Ask the agent to deliver anything you need to keep. A statement that a file was created is not enough to complete your retention check.

Open each delivered file before closing the task. Confirm that it contains the final revision, the evidence, and the unresolved questions. If you asked for a comparison and got only a short conclusion, request the missing table as a delivered file rather than assuming the background material will remain available.

For file organization, open Drive in the left sidebar. Genspark’s AI Drive guide↗ (opens in a new tab) documents file selection actions including Download and multiple-file Compress and Download, plus search and folders. Follow the first-visit legal disclaimer before uploading or downloading, and check a downloaded copy yourself.

A slide deck or spreadsheet has its own export workflow. Use the separate guides to Genspark AI Slides export and Genspark AI Sheets export when those are the deliverables. Do not treat a general file card as proof that every format is available in every account.

What limits and common problems should you expect?

Input-file and storage limits depend on your account. Check Genspark’s membership plans↗ (opens in a new tab) before a large upload or extended workflow. The Super Agent guide also explains that a more complex task can consume more credits through additional tools and steps, even without a separate new-mode surcharge.

If the answer is too broad, narrow the question and define the required output. If evidence is weak, ask for a correction grounded in the permitted sources. If the important file is missing, explicitly ask for delivery. These fixes address different problems; a longer prompt is not a universal remedy.

After a successful repeated workflow, Genspark documents the instruction “Save this workflow as a skill.” Review the method first so you preserve the useful steps and checks. For knowledge recall rather than carrying out a task, see Genspark SecondBrain and the separate guide to Genspark second-brain notes.

How to keep your checked Genspark results with fenbs

Keep the useful work so you can carry on from exactly where you left off, on any device and in any other AI you connect. Save the accepted result, its evidence, and the question to answer next.

1. Create a free account.
2. Add a task with the question you gave Super Agent.
3. Save the checked findings, the source links, and where the delivered file lives.
4. Write what is still unknown and the next action a person or assistant should take.
5. Choose a supported assistant from Integrations, connect it to fenbs, and ask it to read the saved work before continuing.

fenbs does not import Genspark conversations or replace AI Drive. If the result is a one-time file with no continuing work, a checked download may be enough. Genspark’s connector documentation↗ (opens in a new tab) does not establish a universal custom-server setup for a direct fenbs connection. Find other practical workflows in the AI at work hub.