- Events
- Applied AI Agents Hackathon
Applied AI Agents Hackathon
AWS GenAI Loft | San Francisco
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TATAP MUKA
English
300 - Lanjutan
Build Applied AI Agents
Join us for a one-day hackathon focused on building real, shippable agentic systems: applied AI agents that automate workflows, create content, and solve practical problems in the wild. You bring the idea. We provide the tools and a fast path from concept to demo.
Max team size is 4. No team? We will match you at the event.
Thanks to our sponsors and partners for supporting this hackathon.
Tracks
Explore challenges across these core areas of Applied Agents:
- Productivity Agents - Ship assistants that execute multi-step tasks, coordinate tools, and reduce human busywork.
- Creative Agents - Build agents for audio, video, and design workflows that help teams create at scale.
- Real-World Integrations - Connect agents to browsers, apps, and APIs to complete tasks end to end with verifiable results.
- Developer Experience - Improve agent reliability with evaluation harnesses, memory, context tooling, and safe execution.
What you will build
Applied agents with clear user value. Think autonomous tools, smart assistants, and creative systems that can be run, measured, and improved. Use sponsor SDKs and credits to accelerate build time.
Who should attend
- Engineers building AI-native products
- Technical founders exploring agent workflows
- Researchers and builders working on evaluation, memory, and orchestration
Agenda
- 9:15 AM Check-in
- 9:30 AM Kickoff and track overviews
- 9:45 – 10:15 Sponsor Workshop 1
- 10:15 – 10:45 Sponsor Workshop 2
- 11:00 AM – 5:30 PM Hacking session (lunch provided)
- 5:30 PM Demos and judging
- 7:00 PM Awards
- 8:00 PM Networking and closing
Judges
TBA
Interested in judging? Please apply to the Judges membership on our Luma page.
Prizes
- Grand Prize: TBD
- Category Winners: TBD
- All participants: Free credits from partners, meals, snacks, and event swag
Interested in sponsoring or judging? Click “Contact the host”.
All attendees must be registered and approved on Luma and present a valid photo ID for check-in.