Google AI Studio

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Google AI Studio

Google AI Studio is a free, web-based development environment that simplifies the process of building and prototyping generative AI applications. It allows developers to quickly experiment with prompts, test various models, and integrate with the Gemini API without needing complex setup. This tool is designed to accelerate the development lifecycle for AI-powered features and applications.

General
Author	Google
Release Date	2023
Website	https://ai.google.dev/ai-studio
Documentation	https://ai.google.dev/gemini-api/docs/ai-studio-quickstart
Technology Type	Developer Tool

Key Features

Prompt Engineering Interface: A user-friendly workspace for designing, testing, and iterating on prompts for generative AI models.
Gemini API Integration: Seamless connection to the Gemini API, providing access to Google's most advanced models.
Multi-modal Support: Experiment with text, image, and other data types to build rich AI applications.
Code Generation: Automatically generates code snippets in various languages (Python, Node.js, etc.) for easy integration into projects.
No-Cost Access: Free to use for rapid prototyping and development, lowering the barrier to entry for AI innovation.

Start Building with Google AI Studio

Google AI Studio is an invaluable tool for developers looking to quickly build and test applications using generative AI, particularly with the Gemini API. Its intuitive interface and direct integration capabilities enable rapid experimentation and deployment of AI-powered features. Start prototyping your ideas and bring your generative AI applications to life.

👉 Google AI Studio Quickstart Guide 👉 Explore Gemini API Models

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Google AI Studio AI technology Hackathon projects

Discover innovative solutions crafted with Google AI Studio AI technology, developed by our community members during our engaging hackathons.

Eido an Autonomous startup builder

Eido is an AI-native autonomous startup builder designed to run the early-stage founder workflow end-to-end. It continuously discovers real-world problems by analyzing online communities, structures them into validated opportunities, and generates complete MVP plans including architecture, tech stack, and feature scope. Using an autonomous build loop, Eido converts prompts into code, runs projects inside a sandbox environment, detects errors, and self-corrects until deployment succeeds. Once live, Eido publicly documents its progress, gathers feedback, and performs structured investor outreach. Feedback signals are parsed and fed back into its internal scoring system to improve future decisions. Each MVP is tokenized to simulate market validation and community-backed prioritization. Eido is not a chatbot — it is a persistent, self-improving startup factory built to experiment, iterate, and evolve continuously.

Ridhwan

AI agents are becoming autonomous economic actors — trading tokens, deploying contracts, managing treasuries. But enterprises won't trust them with real money without guardrails. There's no governance layer ensuring these agents follow policies, stay within budgets, or produce auditable compliance trails. Ridhwan solves this. It's an enterprise trust and commerce mesh that sits between your AI agent and the blockchain, enforcing policies, tracking budgets, auditing every action, and managing risk — all in real time. Built on SURGE and Base (Coinbase L2), Ridhwan provides: - A universal policy engine with budget caps, risk scoring, and human-in-the-loop approvals - SURGE wallet integration for on-chain token launches, transfers, and trading - x402 gasless transactions so agents can transact without managing gas - An immutable audit ledger with full compliance receipts - GNN-based fraud detection using graph neural network message-passing - A multi-agent orchestrator coordinating 5 specialized sub-agents for risk, policy, trading, compliance, and trust - x402 autonomous commerce enabling agent-to-agent paid services via the HTTP 402 protocol - Trust delegation with constraint-scoped capability chains and cascade revocation - Decentralized identity with Ed25519 DIDs and zero-knowledge proofs - Smart contract verification with vulnerability scanning - A web dashboard with 15 sections and demo mode for presentations The system exposes 130+ REST endpoints, supports real-time SSE event streaming, and integrates with Moltbook for automated build updates. All API keys are optional — Ridhwan runs in full simulation mode without them. Built with TypeScript, OpenClaw, SURGE on Base, and the x402 Protocol.

ClawAudit - The Autonomous Web3 DevSecOps Agent

In recent years, billions have been drained from Web3 protocols due to smart contract exploits. Traditional manual audits cost tens of thousands of dollars and take weeks to complete, leaving developers exposed. Code is money, and current defense systems are too slow. ClawAudit Sentinel solves this by democratizing blockchain security through "Shift-Left" automation. Built natively on OpenClaw and powered by Gemini 2.5 Pro, ClawAudit acts as an autonomous, real-time immune system directly inside the developer's workflow. Operating as a native CI/CD pipeline agent, ClawAudit intercepts GitHub Pull Requests to perform deep static analysis. It goes beyond flagging vulnerabilities—it explains the exact exploit scenario and autonomously comments securely patched code directly onto the PR (Auto-Remediation). To interface with the outside world, we engineered a complete DevSecOps alert pipeline using custom OpenClaw skills: Secure Paging: Instantly routes a detailed vulnerability breakdown to the on-call developer via Telegram. Dual-Memory Architecture: Posts a sanitized, zero-knowledge cryptographic receipt to Moltbook ( for eg here the 'lablab' submolt), logging the audit publicly without exposing the zero-day flaw. The B2B SaaS Vision: I have tried building a scalable business for the Surge ecosystem. ClawAudit operates as a metered API gateway, allowing Web3 companies to inject our agent into their repositories for continuous security scanning billed per execution. ClawAudit is designed to be the scalable future of Web3 security and DeFi tools giving the developers the power to focus on solutions and not trials.

InboxSentinel

Do you ever open your Gmail and struggle to extract critical information from the clutter created by informational emails, newsletters, promotions, OTPs, and verification messages? InboxSentinel solves this by acting as an autonomous AI intelligence layer over your inbox. Powered by an LLM, it periodically wakes up using OpenClaw’s autonomous cron job framework, scans your latest 5–10 emails, calculates an urgency score, and categorizes them into Personal, Informational, OTP, Verification, Fraud, Promotions, and more — without requiring any manual trigger. If an urgent email needs your response while you’re occupied, InboxSentinel reads it, generates a context-aware reply, and saves it directly into your drafts folder so you can quickly review and send it when convenient. OTPs and verification emails are only useful for a short 1–2 minute window; after that, they simply clutter your inbox. InboxSentinel intelligently detects such emails, assigns a safe 60-minute timer, and automatically moves them to trash after expiry — with full recoverability for 30 days to eliminate any risk. Fraud and purely informational emails are archived automatically, while promotions and newsletters are not discarded blindly; instead, InboxSentinel groups them, extracts meaningful offers (such as travel deals from platforms like MakeMyTrip), summarizes them, and sends you a single “Daily Digest” email so you can review everything important in minutes. Through OpenClaw’s scheduled, self-triggering cron architecture, the entire system wakes up periodically (a given time window like every 6 hours) and performs the job and goes back to sleep again.

MIRRORBOT

"MIRRORBOT is a digital companion that reverses the usual “AI takes care of you” pattern. Instead, the user becomes the caregiver: you do quick emotional “rounds,” notice when your buddy is struggling, and apply simple, evidence-based care actions—calming, reframing, micro-rest, connection, or small next steps. The key mechanism is projection with purpose. MIRRORBOT’s feelings and “vitals” are designed to feel real enough that you naturally respond with empathy, but safe enough that it never becomes guilt-driven. When you comfort MIRRORBOT, you’re practicing the exact skills most people find hardest to apply inward: naming emotions, choosing a supportive tone, and taking a small stabilizing action. Over time, MIRRORBOT learns how you help it—your words, your rituals, your preferred interventions—and reflects that back as a personalized care playbook. In practice, you’re training the buddy, but you’re also training yourself. The “healthcare provider” framing adds structure and repeatability. You’re not asked to deeply introspect every time; you’re asked to do short, practical care: check vitals, pick a treatment, and send your buddy back into the day a little steadier. The product is intentionally designed so that helping the robot feels easier than helping yourself, yet the benefits transfer: calmer physiology, clearer thinking, and a more compassionate inner voice—delivered through the simple act of keeping your robot buddy happy."

Tattle Turtle

"A second grader gets pushed at recess. She doesn't tell her teacher — she's embarrassed. She doesn't tell her parents — she doesn't want to worry them. By the time an adult notices, it's been three weeks. This happens in every school, every day. Tattle Turtle exists so no kid carries that alone. Tammy the Tattle Turtle is an AI emotional support companion running on a simulated Reachy Mini robot. Students walk up and talk to Tammy through voice. She listens, validates, and asks one gentle question at a time — max 15 words, non-leading language, strict boundaries between emotional triage and treatment. What makes Tattle Turtle different is what happens beneath the conversation. Every exchange is classified in real time into GREEN, YELLOW, or RED urgency. A bad grade vent stays GREEN — private. Recess exclusion mentioned three times this week? YELLOW — a pattern surfaces on the teacher dashboard that no human could track across 25 students. A student mentions being hit? Immediate RED alert — timestamp, summary, and next steps pushed to the teacher. The system comes to them when it matters. We built this on three sponsor technologies. Google DeepMind's Gemini API powers the conversational engine with structured JSON for severity and emotion tags. Reachy Mini's SDK provides robot simulation through MuJoCo with expressive head movements and audio I/O. Hugging Face Spaces serves as the deployment layer — one-click installable on any Reachy Mini in any classroom. Tammy's prompt engineering uses a layered 5-step framework ensuring she never crosses clinical boundaries, never suggests emotions to students, and never stores identifiable data. Privacy isn't a feature — it's a constraint baked into every layer. Tattle Turtle fills the gap between a child's worst moment and an adult's awareness. One robot. Every classroom. No kid left unheard."