Among all large language models I’ve used in professional scenarios, Google’s Gemini is by far the most handy and hassle-free. I sincerely want to express my gratitude to Gemini and highly recommend it to everyone.

As shown in the images, whether it’s writing academic papers (Slide 2), promotional manuscripts (Slide 3), organizing administrative meeting notices/minutes (Slides 4-5), drafting legal documents (Slide 6), or compiling R&D whitepapers (Slide 7), Gemini consistently delivers outputs of higher quality than over 80% of undergraduate students I’ve encountered—and even surpasses the writing standards of postgraduates with formal writing training in some scenarios. When it comes to corporate governance and business model consulting, its logical framework is more solid than that of over 60% of the consultants I’ve worked with in practice (though offline consultants still have irreplaceable advantages in specialized insights, experience, and credentials). Most importantly, I no longer need to hire someone for every specific task from the start.

I’m an entrepreneur in the AI field. As an undergraduate, I already taught myself to learn and apply various models. I’ve been using large language model tools since 2022, and the launch of ChatGPT even indirectly inspired and fueled the start of my current venture. In terms of overall product experience, I still find interactions with ChatGPT more natural and "human-like" to this day.

But Gemini is different. It truly feels like a senior—even a top-tier—"employee": diligent, meticulous, free of unnecessary chatter or overly agreeable remarks. It meets my needs with a proactive yet boundary-aware attitude and rigorous, reliable results. To put it simply, it’s extremely "trustworthy": every request yields tangible outcomes and responses. On countless chaotic, overwhelming nights when I was stretched too thin, it provided me with first drafts that were largely usable, then stayed with me as I fine-tuned and polished them bit by bit. I really can’t do without it now—I’ve been subscribed to Gemini Pro for a whole year.

As an entrepreneur buried in work, in the early stages of a startup, you often have to handle countless tasks on your own. My co-founders and I also wear multiple hats, stepping in wherever needed. I sincerely thank Gemini and its team for lowering the barrier to most of our work and saving us time and energy. Joking aside, we might really struggle without it! Here, I also invite everyone to pay attention to Google I/O from August 13th to 14th @TechPotato. We hope to create products of such great value too!

#ArtificialIntelligence #LargeLanguageModels #TsinghuaUniversity #MustHaveForWorkers #AITools #ToolSharing #Gemini #Google #XiaohongshuAIDevDelegation #GoogleIO

Here’s How I See It: GPT’s a Smooth-Talking College Student, DS an Eccentric Uncle, and Gemini a Poised, Stunning "Leading Lady" Who Shines on Her Own
LOL, I used GPT-5 for less than a day before getting tired of it—and ran right back into Gemini’s arms!
To break it down: GPT comes off like that college student who’s great at smooth talk, always ready with a quick, polished response but sometimes lacks depth. DS (Doubao) feels like this quirky, eccentric uncle—his takes are all over the place, weirdly random yet oddly memorable. But Gemini? She’s that composed, gorgeous "leading lady" who’s confident in her own skin, shining brightly without needing to show off.
I gave GPT-5 a shot, but less than 24 hours in, I was already annoyed by it. Before I knew it, I was switching back to Gemini—she’s just so reliable and consistent. No flashy fluff, just steady, high-quality work that hits the spot every time.