The Rise of AI Agents Hackathon

Build next-generation AI Agents with the latest tools

⏱️ 5 days to design, build, and launch a real-world AI Agent.


πŸ“… March 30 – April 5, 2026

β€’ March 30 – April 4: Online Phase

β€’ April 4: Hybrid Phase, Online & On‑site Build Day in Dubai

β€’ April 5: On-site Demos & Awards


πŸ“² Real-time on-site updates (Dubai)

For real-time announcements and information during the on-site portion (April 4–5) , join the LabLab Dubai Chapter WhatsApp group:

πŸ‘‰ Join the WhatsApp group


πŸ† $50,000 prize pool


🀝 Join solo or with a team.


πŸ“ On-site participation is by invitation only. Travel and accommodation are not covered.


πŸ§‘β€πŸ’» Apply now and build the next generation of AI Agents.

The Rise of AI Agents Hackathon event thumbnail
About

The Rise of AI Agents Hackathon brings together developers, founders, and innovators to build intelligent systems that can reason, plan, and act autonomously. This hybrid event combines a global online build phase with an exclusive on-site finale in Dubai, creating space for experimentation, collaboration, and high-impact demos.

Participants will design AI Agents that go beyond simple prompt-response interactions. Projects should demonstrate autonomy, structured decision-making, multi-step workflows, and real-world usefulness across industries such as productivity, research, automation, finance, or operations. The focus is on building production-minded applications that showcase how AI Agents can meaningfully support users, teams, and organizations.

Challenge
Challenge

Build powerful AI Agents using Google’s latest AI technology.

Your mission is to design and implement an AI Agent that demonstrates strong reasoning, autonomy, and real-world usefulness using Gemini models and Google AI tooling.


Your agent should go beyond simple chat or prompt-response behavior and showcase at least one of the following:

What your agent should demonstrate

🧠 Intelligent Reasoning
Use Gemini's reasoning capabilities to analyze inputs, synthesize information, and make decisions based on context, goals, or constraints.

πŸ”„ Agentic Workflows
Design workflows where the agent plans steps, calls tools or functions, manages state, or coordinates multi-step tasks over time.

🌍 Real-World Usefulness
Solve a real problem β€” for individuals, teams, or organizations β€” such as research, productivity, automation, data analysis, content creation, or operational support.


πŸŽ™οΈ Live & Real-Time AI Experiences
Use the Gemini Live API to build real-time voice, audio, video, or screen-streaming applications with low latency, interruptible responses, and live function calling.

🧩 Multimodal Intelligence (Optional but encouraged)
Leverage Gemini's ability to work with images, documents, code, audio, or video to unlock richer interactions and insights.

Technology Partners 

To be eligible for Google GCP prizes, you must build your project using Gemini models and Google AI tools to power the intelligence and behavior of your agent. You’ll choose your track from the options listed in the Challenge section to guide your project focus.



Participants should select the Gemini model that best aligns with the intelligence, speed, and complexity required by their AI Agent.

Gemini 3 Flash is optimized for speed and responsiveness. It’s ideal for agents that need to operate in real time, handle frequent interactions, or power fast user-facing experiences such as chat assistants, workflow automations, and interactive tools. If your agent prioritizes low latency and high throughput, Gemini 3 Flash is a strong starting point.

Gemini 3 Pro is built for advanced reasoning and deeper cognitive tasks. It’s well suited for agents that need to analyze complex inputs, reason across long contexts, plan multi-step actions, or synthesize information from multiple sources. Teams building research agents, analytical assistants, or decision-making systems will benefit most from Gemini 3 Pro’s enhanced reasoning capabilities.




Access to Technology:
Participants can explore Gemini through two main options - both include free access:

🌐 Google AI Studio: A free, browser-based IDE for experimenting with Gemini. You can write prompts, test outputs, tweak parameters, and prototype without needing to set up billing or any API keys. Perfect for prototyping and rapid iteration during the hackathon.

πŸ’» Gemini API: For developers ready to integrate Gemini directly into their apps. The free tier includes a monthly allowance of tokens for text and multimodal inputs/outputs, letting you test and build with Gemini’s core models at no cost. Paid usage only applies for higher-volume or production-level apps.

πŸŽ™οΈ Live API: The Gemini Live API enables real-time, low-latency multimodal interactions with Gemini models using WebSockets. It supports streaming audio, video, and screen input for building live voice agents, interactive assistants, and real-time AI experiences.


πŸ”“ Google Cloud Credits:
New Google Cloud accounts receive $300 in free Google Cloud credits, valid for 90 days.
These credits can be used across eligible Google Cloud services, including Gemini API usage, subject to Google Cloud’s standard terms and regional availability.


πŸ‘‰ Learn more about Google Cloud’s free tier


Note: After the free credits are used or expire, continued usage of billable services requires enabling billing on your Google Cloud account. Charges only apply if you choose to continue using paid services.



πŸš€ How to Get Started

1. Visit the Gemini docs
2. Follow the Quickstart Guide to explore Gemini in AI Studio
3. Experiment with text, code, images, video, or audio prompts 

4. Build and test your multimodal agents or workflows




πŸ“˜ Resources:

β€’ Gemini API models

β€’ Gemini 3 Developer Guide

β€’ Gemini API pricing & models docs

β€’ Gemini API billing FAQ & limits

β€’ Live API reference (Vertex AI)

β€’ Google AI Studio official overview

β€’ Google AI Studio quickstart

Prizes

πŸ†Best use of Gemini

πŸ₯‡ 1st place☁️ $25,000 in GCP credits

πŸ₯ˆ2nd place
☁️ $15,000 in GCP credits

πŸ₯‰3rd place
-  ☁️ $10,000 in GCP credits

Please be aware that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.

What to submit?

πŸ“‹ Basic Information

β€’ Project Title

β€’ Short Description

β€’ Long Description

β€’ Technology & Category Tags

πŸ“Έ Cover Image and Presentation

β€’ Cover Image

β€’ Video Presentation

β€’ Slide Presentation

πŸ’» App Hosting & Code Repository

β€’ Public GitHub Repository

β€’ Demo Application Platform

β€’ Application URL

For further details and guidance, please visit Submission Guidelines


lablab.ai

Topic: Hackathon Submissions Process

▢️ Watch Video
Judging Criteria
Application of Technology
How effectively the chosen model(s) are integrated into the solution.
Presentation
The clarity and effectiveness of the project presentation.
Business Value
The impact and practical value, considering how well it fits into business areas.
Originality
The uniqueness & creativity of the solution, highlighting approaches and ability to demonstrate  behaviors.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

πŸ—“οΈ Where and when


The start date of the hackathon is mentionedaccording to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.

πŸ¦ΈπŸΌβ€β™‚οΈ Who can join?


Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.

πŸ˜… What about teams?


If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.

πŸ› οΈ How to participate


The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Sign up" button at the bottom of the page and read ouHackathon Guidelines and Getting Started Guide.

🧠 Get prepared / Use Lablab.ai to Learn About AI


To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!

Speakers, Mentors & Judges

Andrea Marazzi
Andrea Marazzi
Founder & CCO
NativelyAI
Pawel Czech
CEO
Amit Vadi
Head of Community, Developer Experience (DevX)
Pawel Czech
Co-Founder
Andrea Marazzi
CCO
Pawel Czech
Founder
Victoria Neiman
Co-founder & COO
Sergey Nuzhnyy
Head of Developer Relations
Sergey Nuzhnyy
Head of Developer Relations
Addy Crezee
Founder & CEO
Sergey Nuzhnyy
Head of Developer Relations
Junnan Li
Research Lead
Gus Martins
Staff Developer Relations Engineer
Philippe BrulΓ©
CTO
Pawel Czech
Co-Founder
Andrea Marazzi
CCO
Andrea Marazzi
Founder and CCO

Event Schedule

  • To be announced