Gemini

I chose Gemini because it’s fast, simple to use, and great for quick research and idea structuring.

Congrats on the launch! I've been waiting for a truly mobile-native, conversational AI and this delivers. I just used it to brainstorm and outline a blog post while walking my dog – something that's always been clunky with text-based interfaces on mobile. The low latency on the voice recognition is key to making this feel like a real conversation. A quick thought: It would be a game-changer if the chat history could be easily exported or synced with Google Docs/Keep for further editing. Is anything like that on the roadmap? Keep up the amazing work!

I’ve been using Google’s Gemini as my go‑to AI co‑pilot, and it’s a solid step up from prior PaLM models. Its multimodal capabilities mean I can chat, generate images, and even get help with code all in one place—no juggling between tools. The Ultra tier shines on complex reasoning and creativity, while the smaller Nano model is surprisingly capable offline. Integration with Google Workspace keeps workflows smooth, but you’ll notice the occasional hallucination and a dependence on Google’s ecosystem. If you want a versatile, all‑in‑one AI—especially for multimodal tasks—Gemini is well worth a look.

The AI model provides fast and clean responses with a user-friendly interface -works well for tasks like coding prompts and reasoning-based queries. However, outputs can feel less polished or adaptable compared to some competitors, and prompt results may vary in consistency Still, it’s a powerful and versatile assistant-especially impressive for those deeply embedded in a broader ecosystem, and particularly useful for structured and factual workflows

Gemini does a great job when it comes to processing text. I often use it for summarizing and extracting key points. However, when asking it about information from the web, it sometimes fabricates answers, so I still need to cross-check from multiple sources. That said, this seems to be a common issue with AI in general.

Gemini has potential, especially in understanding current Google ecosystem content and multilingual input like Thai. But the output often feels less polished or flexible compared to ChatGPT. Speed is decent, UI is clean, but prompt consistency is hit-or-miss. A good backup, but not my go-to.

I use Gemini by Google every day to help with writing, researching, and organizing my thoughts. It’s incredibly useful when I’m juggling multiple tasks and need quick support without breaking my flow. Whether I’m drafting emails, exploring complex topics, or just looking for a clear explanation, Gemini delivers fast and accurate results. It’s helped me cut down on time spent switching between apps and digging for information. I feel more productive and focused with it in my workflow. The interface is clean and responsive, which makes using it feel effortless. Overall, it’s a tool I now rely on heavily

Well, there are not many words to say, I used ChatGPT when it first came out, and somehow, I ended up using Gemini for questions from simple to complex. Now, I also used it for my first solo product, SurfFrend. I really appreciate the multimodal capability and huge context window from Gemini, let's see how I utilize them in SurfFrend to help people surf web smarter. Big thanks to Google for making it happen!

This inconsistency makes it challenging to rely on the tool for accurate information or practical use. While the concept is promising, the current execution falls short of expectations, particularly in terms of reliability and accuracy. It's crucial for such tools to provide dependable and consistent responses to be effectively utilized in any practical scenario.

Long-term I think that Gemini and Google will have the edge over competitors. The structured output builder in AI Studio in particular is very impressive and 2.5 enables extremely long continuous outputs that are valuable for lots of emerging use-cases.