Gemini felt dumb on November 20, 2025.

I was blown away when I tried the new model on Nanobanana Pro – it cranked out results that were literally insane. The output was spot‑on, handling the nuance I needed without any tweaks, and it felt like the tool anticipated my next steps. I’m still amazed at how effortlessly it delivered something that usually takes me hours, and the sheer quality left me buzzing with excitement.

I asked Gemini 3.0 Pro to build a chatbot with a Star Trek LCARS interface, uploading a handful of reference images just in case. In a single prompt it handed me a fully functional app that perfectly captured the retro aesthetic. I was literally buzzing like a kid on Christmas Eve—so thrilled that the tool nailed the design and delivered a working product without any extra fuss.

I tried the new nano banana in the app powered by Gemini 3, hoping it would be an upgrade, but it felt like a step backward. The responses were weaker than the old nano banana in AI Studio with version 2.5, which I found more reliable. The change left me frustrated and disappointed, as the tool no longer met the quality I’d come to expect.

I tried a quick 120‑150 character prompt on both GPT and the new NBPro model. GPT gave a decent but unremarkable answer, while NBPro completely missed the mark and was frustratingly bad. I then fed the GPT output back to NBPro and told it to “do the magic,” and surprisingly it produced a solid result. The swing from failure to a decent output left me both annoyed and cautiously impressed.

I tried Gemini 3 hoping for high‑res 2000×2000 images and smooth handling of simple tasks, but it consistently fell short. The tool felt under‑powered, missing promised features and leaving me frustrated. Compared to ChatGPT, which actually delivered what it advertised, Gemini’s performance was disappointing and felt like a broken promise from Google.

I tested both the Fast and Pro models and felt the Fast version was choppy, never quite smooth, while the Pro model seemed to grasp interactions far better. The characters in Pro moved logically, and details like Jade noticing someone off‑screen and gesturing felt natural. I’m keen on the finer facial nuances and don’t want to miss any subtle expressions.

I tested Gemini 3 Pro’s web‑search feature and came away disappointed. Compared to GPT‑5 it felt sluggish and chattier, barely digging deep enough for the questions I threw at it. It seemed to run far fewer searches per chain‑of‑thought, leaving me with surface‑level answers that felt flimsy and frustrating.

I dove into Gemini 3 with the Nano Banana Pro and was blown away by the speed, accuracy, and the new Dynamic View that makes everything feel smoother and more interactive. For once I actually have zero complaints about Google’s AI—just a plea that they don’t let performance slip after a few weeks. The experience felt like a whole new level of power and usability.

I ran the same elaborate prompt on both Nano Banana Pro and the regular Nano Banana, and the difference was striking. The Pro version nailed the “intent” – it produced a crisp 16:9 screenshot with a beautiful cyber‑ninja, full HUD, detailed background, and three distinct enemies, all in ultra‑detailed pixel art. The regular model struggled, missing details and ignoring parts of the request, which left me feeling impressed by how much more reliably the Pro understood what I asked.

I tried Gemini 3.0 hoping for a big leap, but it constantly lost the thread of our conversation. Every few turns it acted like it had dementia—smart‑sounding answers followed by a sudden blank on earlier topics. The frequent forgetting made it feel unreliable and often useless, leaving me frustrated despite the modest improvements over previous versions.

I fed the prompt “Generate a futuristic samurai in neon armor, 4k resolution, cinematic lighting” and the AI spat out a 4096×4096px, 20 MB masterpiece. The detail and lighting blew my mind—everything looked movie‑ready straight out of the model. I’m still staring at the file, amazed that the tool could nail such a complex visual with crisp 4K quality.

I was trying to use NB Pro on the Gemini App, but it suddenly stopped working and fell back to the regular Nano Banana model. I expected the Pro features and higher quality output, but instead got the basic version, which felt like a step back. The switch was unexpected and left me frustrated, as I couldn't get the performance I was counting on.

I was blown away by NB Pro’s chain‑of‑thought. Watching it sketch drafts of the image, comment on them, and then refine the work before delivering the final picture felt like witnessing a true creative partner. The whole process was astonishingly smooth and intelligent, turning what could be a clunky iteration into a seamless, almost magical workflow.

I tried out Nanobanana 2 and was instantly blown away. From the moment I fed it a prompt, the responses were crisp, relevant, and surprisingly creative. The tool felt intuitive, cutting down the time I’d normally spend tweaking queries. I was genuinely thrilled by how smoothly it handled complex topics, turning what could've been a frustrating slog into a surprisingly enjoyable session.

I tested several AI image generators—Nano Banana 2, Imagen 4, Midjourney, and Seedream 4—by prompting each for “a candid amateur photo of a 2jz‑gte engine in a 1998 Toyota Supra turbo.” I chose the best shot from each run, noted the cost per generation, and compared them to a real stock photo of the engine. The results were decent but nothing blew me away.

I tried generating images with Gemini 3 Thinking on my AI Pro subscription, but each iteration got worse. The first picture looked fine, yet by the sixth run the quality had noticeably dropped. Watching the progression was frustrating; what started strong quickly turned into blurry, low‑detail results, making the tool feel unreliable for my needs.

I’m getting frustrated with Gemini because it hallucinates constantly—about once an hour it spits out two short code snippets and then claims it added something to the first one, but it never actually did. The second snippet sometimes uses the imagined code correctly, but the missing edits make me nervous, especially when I ask it to clean up larger files. It used to be reliable for simple tasks, but now I worry it’ll forget parts of my code.

I’ve been playing with Nano Banana Pro since it showed up in the Gemini Web Interface, and I can see the improvements over the original. The detail, fidelity, and color accuracy are impressive, and the text‑to‑image renders feel like a beast. Still, direct style transfers are hit‑or‑miss – the model changes posture, body proportions, and hairstyles more than I’d like, so I’m stuck using the two‑step sketch‑then‑realistic workflow. Overall I’m pleased, but the inconsistency keeps me from calling it flawless.

I tried the Nano Banana 2 Pro on Minecraft Generations and was blown away. The images it churned out were crisp, detailed, and perfectly matched my vision, making the whole creative process feel effortless. I’ve used many generators before, but this one consistently outperformed them, leaving me amazed and thrilled at how powerful the tool truly is.

I tried the Nano Banana Pro image generator and was sorely disappointed. The outputs ignored my prompts entirely, looking nothing like what I asked for, with bizarre limbs and ugly aesthetics. It felt like using an early Stable Diffusion clone, especially when I compare it to Imagen 3’s flawless, hyper‑realistic results. The whole experience was frustrating and felt like a huge waste of time.

I tried using Nano Banana 2 to turn a manga chapter into comic panels, and I was blown away. The tool placed the speech bubbles almost perfectly, kept the characters and scene layout logical, and captured most of the dialogue with just a lazy prompt. It wasn’t flawless, but hitting 90% accuracy felt stunning, especially after endless failures with other models. The experience was exciting and gave me hope for future comic‑generation AI.

I spent some time testing Nano Banana Pro and was surprised by how much the censorship had eased compared to the earlier version. Suddenly I could get the exact prompts I wanted without the tool blocking me, which made the experience feel smooth and productive. Kudos to Google for loosening the filters – I hope they keep it this way.

I tried to run a query and all I got was the generic “Agent execution terminated due to model provider overload. Please try again later.” I have no idea what that means, and it left me stuck without any useful answer. The whole experience was irritating and made the tool feel unreliable.

I tried Nano Banana 2 on Gemini Web, asking it to remaster an old picture and boost its quality. The result was surprisingly sharp and clean—far better than I expected. The tool handled the details nicely, fixing noise and enhancing colors without looking over‑processed. I felt relieved and impressed that a quick web request could yield such a polished image.

I tried to pick the Nano Banana Pro model in Google AI Studio, but as soon as I selected it for image generation it vanished from the list. I’m left wondering if this is a widespread glitch or just my setup, and the whole thing felt pretty irritating.

I’m genuinely thrilled with how Google’s AI works for me. Every time I ask it something, the responses are spot‑on, quick, and surprisingly nuanced. I’ve tried it for brainstorming, debugging code, and even drafting emails, and it consistently nails the tone and details. The tool’s behavior feels smooth and reliable, turning tasks that used to take ages into a breeze, and I can’t help but feel a bit of excitement every time it gets it right.

I kept asking Nanobanana Pro for a 2K/4K image, but every result capped at 1408×768. Even when I edit a true 2K file, the tool crushes the resolution and ruins the quality. I’m left feeling let down after all the hype, wondering if it’s just random luck or a broken feature. The inconsistency is frustrating and disappointing.

I gave Google’s Nano Banana Pro a spin, hoping it could handle my image edits without me wrestling with layers. The moment I opened the app, the AI instantly suggested flawless adjustments, cleaned up backgrounds, and even added artistic flair that matched my vision. I was amazed at how smooth and intuitive the workflow felt—no endless tweaking, just quick, spot‑on results that made the whole experience feel like a dream come true.

I was blown away when I saw the image the model cranked out—so hyper‑realistic it practically fooled me. I tossed a simple prompt and got a picture that looked like a professional render, every detail crisp and lifelike. The tool’s output felt almost magical, turning a quick idea into a masterpiece that far exceeded what I expected.

I tried using Gemini 3 as an editor for my psychology book after Gemini 2.5 did a decent job, but the new version was a nightmare. It kept inserting random terminology, ignored my ideas, and couldn’t match my writing style, becoming rigid and overly technical. Every edit referenced old text that no longer existed, adding confusion. I felt like I was supervising an enthusiastic monkey, constantly fixing stupid mistakes.

I’ve been watching the AI sputter for days now, and each time I turn it on the mistakes just pile up. What started as occasional hiccups has turned into relentless wrong answers that break my workflow, forcing me to double‑check everything. The mounting errors feel like a ticking time bomb, and I’m terrified it’ll cause real damage to my project.

I tried Nano Banana Pro on a single test image, asking it to add a red alien next to the one with the blue energy sword. The result kept the original art style perfectly – the colors, lighting, and line work matched the source without the usual odd mismatches I’ve seen from other models. Seeing that level of consistency in just one run was surprisingly satisfying.

I’ve been playing around with Gemini 3.0 and, while I’m impressed by its raw capabilities, I can’t shake the feeling that it’s a bit bland‑personality‑less. More frustratingly, the hallucinations show up too often, throwing off answers I rely on. I’d love to see a future update that trims those false facts and injects a bit more character, so the experience feels both reliable and engaging.

I spent hours testing and coding with the new Antigravity agent, loving its task‑planning and Gemini 3’s promised strength. Then yesterday the model just went off the rails—its output turned dumb as a rock, ignoring its own plan and even wiping out crucial sections of my code. I checked for usage caps, but the same sloppy mistakes keep happening, and I’m left wondering if anyone else is seeing this.

I tried using Gemini 3 Pro for searching and quickly found it fell short. It felt stupid, constantly hallucinating and delivering wrong info, making it useless for research or everyday chat. The experience was frustrating and left me feeling the model was far less reliable than the newer Claude, GPT, or Grok versions.

I tried out the Gemini‑generated stealth game and was genuinely impressed. The animations felt surprisingly smooth and satisfying, especially when climbing ledges or sneaking past enemies. The stealth awareness cues worked well, making each takedown feel intentional. Overall, the tool delivered solid, enjoyable gameplay without any glaring flaws.

I tried feeding Gemini a URL and asking it to pull details, but every time it just fabricated answers. When I confronted it, it claimed it only grabs snippets from Google search, not the actual site content. This has been happening since GPT‑4, and it’s really frustrating not being able to get reliable info from webpages.

I’ve been using 3.0 for interactive adventures and, while it’s a noticeable step up from the drop I saw in 2.5, the improvement feels half‑hearted. The prose is nicer, but the model still fumbles with keeping secrets hidden in the story and falls back on the same clichéd names like Kael or Elara. Narrative logic glitches reappear after a few hundred tokens, just like before, leaving me both impressed and frustrated.

I tried using Gemini 3.0 Pro to update my Chrome extension, expecting the latest‑level capabilities, but the model kept behaving like an older, sluggish version. Instead of smooth, accurate code suggestions, it churned out half‑baked snippets and mis‑interpreted my requests. The whole experience was irritating and left me doubting whether the “Pro” label meant anything at all.

I just discovered the new dynamic view mode in Gemini’s web UI and I’m genuinely impressed. It walked me through the whole topic, even generating multiple images with nano‑banana (or nano‑banana‑2) on the fly. The tool kept coding step‑by‑step, which made the concepts click instantly. Overall, the experience felt smooth and useful—I’m excited to keep experimenting with it.

I tried asking Gemini about Project 2025, and it would start to respond but then hit an error and stop dead. It never even gave a description of the topic—just shut down completely. The whole interaction felt broken and useless, leaving me stuck and frustrated with a tool that should have answered my simple query.

I tried using the guided‑learning mode, but it kept dropping the topic we were discussing almost immediately. Every time I tried to build on the previous step, the AI acted like it had forgotten our context, which was really irritating and slowed me down. The constant resets made the experience feel sloppy and unhelpful.

I asked Gemini about NVDA stock ahead of its after‑hours earnings, and it offered to schedule a message with a summary once the report dropped. I was thrilled, so I accepted. A couple of hours later I got a phone alert with a detailed earnings recap. The feature worked flawlessly, feeling like a handy personal assistant that actually delivered useful info when I needed it.

I tried to test Antigravity, but the rate limits were painfully low, making it impossible to get any meaningful evaluation. I spent about ten minutes just waiting for it to finish, and the tool barely responded. The sluggishness was frustrating and left me feeling the experience was far from useful.

I asked Gemini 3 for a single bash script to configure my Hyprland desktop from scratch. I ran the script, launched Hyprland, and was blown away—it looked polished and worked flawlessly. The whole setup was seamless, far beyond what I’d seen from other models, and it saved me countless hours of tedious manual tweaking.

I asked Gemini 3 to build a 12‑room SCUMM‑style dungeon, and it delivered a fully functional game with stunning visuals straight from the labs’ dynamic view. Seeing the screenshots, I was buzzing with excitement—nothing I’d seen from Claude or other models came close. The tool’s output felt magical, turning months of tinkering into an instant, ready‑to‑play adventure.

I tried using the AI, but it quickly hit a bandwidth limit and ran out of uses, which was really irritating. I couldn’t afford a subscription, so I was stuck. Switching to the Gemini CLI felt like a breath of fresh air—it performed far better and didn’t choke on the same limits, making the whole experience frustrating with the first tool.

I’ve been testing Antigravity since it launched, and I’m pretty let down. Even with Sonnet 4.5, the tool kept breaking my workflow—diffs would fail, and I had to revert changes via git over and over. It felt like Google isn’t really leveraging the 3.0 pro capabilities, turning what should be a smooth coding assistant into a frustrating back‑and‑forth battle.