I used Genspark consistently for two weeks, mainly for three things: researching the AI industry, creating product proposal decks, and organizing meeting notes.
The first time you open it, it can be hard to know where to start
Genspark has a lot of features.
At first, I wasn’t quite sure whether I should think of it as a search tool, a chat tool, or a full workspace.
If you’re used to ChatGPT’s simple “one input box and start chatting” experience, there’s definitely a bit of an adjustment period.
I also don’t love how early the upgrade prompts appear.
Seeing a paid upgrade option before you’ve really experienced the core value can make you hesitate.
Presentations are the feature I found most valuable
I asked it to create a presentation on “The 2026 AI Short-Drama Market.”
Instead of giving me an outline first, it generated a complete 10-slide deck right away.
It included a cover, market data, competitive analysis, and charts.
Of course, it still needed editing.
Some of the content had to be verified, and a few slides needed adjustments, but overall it felt about 60–70% finished.
For me, that’s much more useful than having AI write an outline and then doing all the layout myself.
Deep Research was more useful than I expected
I also used it to compare the startup potential of three areas: AI short dramas, AI stickers, and AI posters.
It organized the production workflows, business models, and market opportunities, then even ranked them by priority.
What makes this especially convenient is that you can turn the research directly into a presentation.
There’s no need to copy the report into another tool and rebuild the layout from scratch.
Credits really do disappear quickly
The first time I ran Deep Research and then generated a presentation, my free Credits were almost gone very quickly.
That has a noticeable impact on the first impression.
Just as the result you actually want starts taking shape, the allowance runs out.
If you’re only testing Genspark, I’d start with lighter tasks.
Once you’re satisfied with the quality, then move on to more complex research.
Time-sensitive data still needs verification
Once, I asked it to create an analysis of “Global AI Funding Trends in 2025.”
Some of the charts in the final output were still based on 2024 data.
These kinds of errors can be easy to miss because the finished pages already look polished.
So whenever I’m working with market data, funding figures, policy information, or financial numbers, I still go back and verify the sources myself.
The phone-call feature isn’t very useful for users in mainland China
In supported overseas markets, the AI can place calls and handle tasks like restaurant reservations.
But right now, that feature has very little practical value for users in mainland China.
I wasn’t able to successfully experience the full workflow myself either.
Pros
It’s strongly focused on finished deliverables.
It can directly generate presentations, spreadsheets, and reports instead of just giving you suggestions.
It can break down complex tasks.
Using multiple models and agents gives it more flexibility than forcing a single model to handle the entire task.
A lot of functionality is consolidated in one place.
Research, documents, presentations, spreadsheets, development, images, and video all live in the same workspace, reducing the need to jump between tools.
Deep Research works well with presentation generation.
You can turn research directly into a deck, which is especially useful for professional workflows.
It works best for outcome-driven tasks.
If you already know what kind of final deliverable you want, Genspark tends to be much more useful.
Cons
It can feel complicated at first.
There are plenty of features, but the product’s role isn’t immediately obvious when you first open it.
Free Credits run out quickly.
Heavy tasks can burn through your allowance fast.
Upgrade prompts appear fairly early.
Sometimes you run into the paid upgrade flow before you’ve fully experienced what makes the product useful.
You can’t fully rely on factual accuracy.
Real-time data and research-heavy tasks still need human verification.
Some features have limited value for users in China.
Phone calling, for example, still lacks meaningful localization.
Who it’s good for
Professionals who frequently create reports and presentations
If your workflow involves research, organization, chart creation, and slide design, Genspark can eliminate a lot of separate steps.
Founders and small teams
It’s a good fit for teams with limited headcount but lots of research, content, proposal, and lightweight development work.
Consultants, marketers, and trainers
If you create a lot of presentation materials, AI Slides can significantly reduce the time spent starting from a blank page.
People already using multiple AI tools
If you constantly switch between ChatGPT, Claude, and image-generation tools, Genspark’s all-in-one workflow can be much more convenient.
Who it’s not ideal for
People who only need chat
For writing emails, asking questions, or making simple copy edits, ChatGPT or Claude is already enough.
People who need extremely high numerical accuracy
For financial reports, legal work, or investment research, AI-generated results shouldn’t be treated as the final answer.
People with limited budgets and low usage frequency
The free Credits don’t last especially long, while the paid plans can feel expensive if you only use the product occasionally.
Users in mainland China with restricted network access
It’s worth confirming the stability of access to overseas services before relying on it.
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