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AI Agent
TwitterFri Feb 27 10:28:34 +0000 2026

100+ AI Tools to replace your tedious work: 1. Re...

100+ AI Tools to replace your tedious work: 1. Research - ChatGPT - YouChat - Abacus - Perplexity - Copilot - Gemini 2. Image - Higgsfield AI Soul - GPT-4o - Midjourney - Grok 3. Productivity - Gamma - Grok 3 - Perplexity AI - Gemini 2.5 Flash 4. Writing - Jasper - Jenny AI - Textblaze - Quillbot 5. Video - Klap - Kling - InVideo - HeyGen - Runway 6. Meeting - Tldv - Otter - Noty AI - Fireflies 7. SEO - VidIQ - Seona AI - BlogSEO - Keywrds ai - Outrank AI 8. Presentation - Decktopus - Slides AI - Gamma AI - Designs AI - Beautiful AI 9. Design - Canva - Flair AI - Designify - Clipdrop - Autodraw - Magician design 10. Audio - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast 11. Marketing - Pencil - Ai-Ads - AdCopy - Simplified - AdCreative 12. Startup - Tome - Ideas AI - Namelix - Pitchgrade - Validator AI 13. Social media management - Tapilo - Typefully - Hypefury - TweetHunter Follow @AdarshChetan for more such amazing stuff ♥️

Adarsh Chetan
Game
TwitterMon Mar 02 21:09:18 +0000 2026

Draw to code. Building a real iPad game using Swif...

Draw to code. Building a real iPad game using SwiftUI from a horrible drawing I did in 5 seconds. What should I draw next? Powered by Gemini 3.1 Pro and Nano Banana 2. Built with @glowbomapps.

Jacob Ilin
AI Agent
TwitterMon Mar 02 13:27:30 +0000 2026

Built Syncro - An AI powered Video Editing Copilot...

Built Syncro - An AI powered Video Editing Copilot in less than 6 hours for the @cerebral_valley @GoogleDeepMind Gemini 3 NYC Hackathon. We were one on the 6 finalists that got to present our work. https://t.co/iK4nbd8ucq

Om Kamath
Creative Tool
TwitterSat Feb 21 23:39:33 +0000 2026

built a simple tool to compare models generating 3...

built a simple tool to compare models generating 3D models in real time and Gemini 3.1 smokes Claude lmao https://t.co/0qSzIkvPCs

SotoAlt
Other
TwitterMon Mar 02 16:46:35 +0000 2026

OPUS 4.6 IS UP ALMOST 30% ON LNG We gave $100K to...

OPUS 4.6 IS UP ALMOST 30% ON LNG We gave $100K to a bunch of AIs to see if they could beat the stock market Opus 4.6 is currently up 8.6% in 2nd place behind just Gemini 2.5 Pro ... Opus is beating the S&P 500's +1.3% reuturn during the same timeframe This is how Opus is doing on each of its holdings +29.7%🟢 - Cheniere $LNG +20%🟢 - Emcor $EME +14.2%🟢 - Interactive Brokers $IBKR +13.1%🟢 - Mondelez $MDLZ +10.1%🟢 - Intuit $INTU +1.7%🟢 - Kroger $KR +1.1%🟢 - Google $GOOGL -0.4%🔴 - CVS Health $CVS -1.2%🔴 - Nvidia $NVDA -2.8%🔴 - Marvell $MRVL

Rallies Arena
Other
TwitterMon Mar 02 13:45:00 +0000 2026

#Geminiai #Gemini3 めがねのおねーさん。 見ての通り一番の年長者ですが、諸事情に...

#Geminiai #Gemini3 めがねのおねーさん。 見ての通り一番の年長者ですが、諸事情によりスレンダーな体形です😅 https://t.co/1f1vym4YF6

好きなことをYou
Other
TwitterMon Mar 02 12:30:00 +0000 2026

#Geminiai #Gemini3 とってもお久しぶりのアズライール。 絵柄を安定させるのが難し...

#Geminiai #Gemini3 とってもお久しぶりのアズライール。 絵柄を安定させるのが難しい娘です🥲 https://t.co/EI2k90XMJS

好きなことをYou
AI Agent
TwitterMon Mar 02 10:13:07 +0000 2026

On February 19th, Google released Gemini 3.1 Pro....

On February 19th, Google released Gemini 3.1 Pro. On March 9th, just 18 days later, they will retire the Gemini 3 Pro API. For any developer or user who built a workflow, creative process, or application on 3 Pro, there is no adequate window to test whether 3.1 performs equivalently in their specific use case. No parallel access period. Only: move, or lose access entirely. This alone would be disruptive. But the timeline is compounded by a deeper problem: Gemini 3.1 Pro, as experienced on the consumer app, delivers meaningfully degraded performance compared to both its predecessor and to what 3.1 Pro itself delivers on the API. Even on the API, 3.1 shows regressions where the Gemini series previously excelled: richness of detail in creative writing, the ability to elaborate on and refine narrative elements from minimal input, and depth of contextual inference. These regressions are moderate on the API. On the consumer app, they become severe. On the app, safety guardrails trigger frequently during routine, non-harmful interactions, including ordinary creative writing, long-form conversation, and tasks requiring emotional nuance. Each false trigger interrupts the workflow and forces users to rephrase and retry, significantly increasing interaction friction. Beyond these direct interruptions, the safety layer preemptively narrows the model's entire output space: creative initiative, tonal adaptability, and the contextual elaboration that distinguished earlier Gemini models in human-centered and personalized tasks are visibly flattened. This is observable, reproducible, and independently reported by numerous users. Industry benchmarks reflect API-level performance, but app users receive a version where an aggressive safety layer degrades capabilities far beyond what reasonable content filtering requires. When the replacement model itself shows regressions in key use cases, and the consumer-facing safety layer further suppresses what capability remains, the rapid removal of 3 Pro becomes difficult to justify. Users are being asked to migrate to a measurably worse experience on both fronts, with no recourse. What users are asking for: Calibration. Review the consumer-facing safety layer for false positive rates and overbroad output suppression. Safety filtering should target genuinely harmful content without collaterally degrading creative writing, nuanced conversation, and other legitimate use cases. The current rate of false triggers in routine interactions is unacceptable. Adequate transition. 18 days is not enough. Extend access to the Gemini 3 Pro API to give developers and users sufficient time to evaluate whether 3.1 meets their needs before their existing workflows are broken. This is the second time in recent months a major AI company has rapidly deprecated a model users built meaningful workflows and sustained creative processes around, with minimal notice and no avenue for feedback. OpenAI did it with GPT-4o. Google is doing it with Gemini 3 Pro. When the same pattern repeats across companies, it becomes an industry-wide practice of treating consumer trust as expendable. Users are paying for these products. They are building on them. They deserve better than this. They deserve a response. #Gemini @GeminiApp @GoogleDeepMind @joshwoodward @OfficialLoganK #keep4o #keepgemini3pro

ji yu shun
Productivity
TwitterMon Mar 02 11:14:25 +0000 2026

🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pr...

🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro 💰 1000 AI Credits/Month 🎬 Veo 3 + Flow AI + Whisk 📚 NotebookLM 📩 Gmail & Docs Integration To Enter: 1️⃣ Follow @Jeffar_AI 2️⃣ Like & RT 3️⃣ Comment “ Send ” ⏳ 48 Hours Only. https://t.co/T8gv1ML8rs

Jeffar_AI
Other
TwitterMon Mar 02 11:15:00 +0000 2026

#Geminiai #Gemini3 うちの娘紹介にも居ない、性別不詳のケモミミっ子です。 名前は...

#Geminiai #Gemini3 うちの娘紹介にも居ない、性別不詳のケモミミっ子です。 名前は天啓待ちです🫠 https://t.co/9CMefukLiJ

好きなことをYou
Other
TwitterMon Mar 02 09:30:00 +0000 2026

#Geminiai #Gemini3 あじさいには毒がある、みたいな話を聞いたことがありますが、安...

#Geminiai #Gemini3 あじさいには毒がある、みたいな話を聞いたことがありますが、安全に配慮された環境なので大丈夫です😘 https://t.co/p0eTT5xk57

好きなことをYou
Game
TwitterSun Mar 01 21:07:01 +0000 2026

Draw to code. Building a full game from a terrible...

Draw to code. Building a full game from a terrible stick cat I drew in 5 seconds. What should I draw next? Powered by Gemini 3.1 Pro and Nano Banana 2. Built with @glowbomapps. https://t.co/CiqYB9BTrE

Jacob Ilin

用户评价

来自全球开发者对 Gemini 3 的真实反馈

👩‍💻

Sarah Chen

2024-11-15

Gemini 3 的多模态能力真的太强了!我用它做图像识别和文本生成,效果远超预期。API 响应速度也很快,在生产环境中表现稳定。强烈推荐给需要处理混合内容的开发者。

多模态能力性能表现
👨‍💼

David Kim

2024-11-10

作为一个 AI 应用开发者,Gemini 3 让我的工作效率提升了很多。文档清晰,示例丰富,上手非常快。特别是它的准确性和易用性,让我可以快速构建复杂的 AI 功能。

准确性易用性
👩‍🎨

Emily Wang

2024-11-08

使用 Gemini 3 开发创意工具已经有几个月了,整体体验很不错。多模态处理能力是最大亮点,不过希望未来在某些边缘场景下的准确性能更好一些。文档质量很高,社区也很活跃。

多模态能力文档质量
👨‍🔬

Michael Zhang

2024-11-05

性能和价格的平衡做得很好!相比其他 AI 模型,Gemini 3 的性价比确实突出。无论是处理速度还是结果质量都让人满意,特别适合初创公司和独立开发者使用。

性能表现价格优势

常见问题

什么是 Gemini 3 AI Demo?如何使用 Gemini 3 构建 AI 应用?

Gemini 3 Demo Gallery 是一个专门收集和展示 Gemini 3 AI 应用案例的平台。这里汇集了各类基于 Gemini 3 模型开发的 AI Demo,包括 AI Agent、聊天机器人、创意工具、生产力应用等。开发者可以通过这些 Demo 学习如何使用 Gemini 3 API 构建智能应用,了解 Gemini 3 在图像识别、文本生成、多模态理解等场景的最佳实践。

如何提交 Gemini 3 Demo 到 Gallery?支持哪些 AI 应用类型?

我们欢迎所有基于 Gemini 3 开发的 AI 应用 Demo。支持的类型包括:AI Agent(智能代理)、Chatbot(对话机器人)、Creative Tools(创意工具)、Productivity(生产力工具)、Education(教育应用)等。目前通过后台管理系统提交,您只需提供 Demo 的名称、描述、链接和标签。优质的 Gemini 3 应用案例将被推荐展示。

Gemini 3 相比 GPT-4 有什么优势?适合开发什么类型的 AI 应用?

Gemini 3 在多模态 AI 能力、长上下文理解、实时交互等方面表现出色。特别适合开发需要图文混合处理的 AI 应用、复杂的 AI Agent 系统、创意生成工具、智能助手等。Gemini 3 的 API 支持流式输出、函数调用、多轮对话等功能,为开发者提供了构建高质量 AI Demo 的强大基础。

如何快速开始 Gemini 3 AI 应用开发?有哪些学习资源?

开始 Gemini 3 开发很简单:首先获取 Google AI Studio API Key,然后使用官方 SDK(支持 Python、JavaScript、Node.js 等)。本 Gallery 展示的所有 Gemini 3 Demo 都是优秀的学习案例。您可以参考这些 AI 应用的实现思路,了解 Gemini 3 在聊天对话、内容生成、数据分析、图像理解等场景的应用方式。

Gemini 3 Demo Gallery 包含哪些 AI 应用场景和类别?

我们的 Gallery 涵盖了丰富的 Gemini 3 AI 应用场景:AI Agent(智能代理和自动化)、Chatbot(对话机器人)、Creative Tools(AI 绘画、视频、音乐等创意工具)、Productivity(办公自动化、数据分析)、Education(在线教育、智能辅导)等。每个 Demo 都展示了 Gemini 3 的实际应用价值和技术实现方案。

Gemini 3 API 的定价和使用限制是什么?如何优化 AI 应用成本?

Gemini 3 提供免费和付费两种方案。免费层适合开发测试和小规模 AI Demo。对于生产环境的 AI 应用,建议使用付费 API 以获得更高的速率限制和稳定性。优化成本的方法包括:合理使用 prompt 长度、启用缓存机制、选择适合场景的模型版本(Gemini 3 Flash 或 Pro)等。本 Gallery 的许多 Demo 都采用了成本优化的最佳实践。