Your institution’s data.Apps built in a vibe coding contest.

Building with AI differs from using AI within an app. Tasks follow the existing judging criteria and available data and APIs.

Everyday App Challenge with Food Label & Nutrition Data

These are fictional entries using sample data. In an actual contest, participants build, refine and enter their own ideas.

1. 1

   Broader participation in building

   Data challenges, AI-assisted build training and starters help citizens with limited development experience take part.

   Review: data-based projects and build progress

2. 2

   Public experiences in everyday life

   Bring selected projects into a mobile-friendly showcase where people compare, explore and choose using your data.

   Review: completed experiences, return visits and feedback

3. 3

   Publicize the ways data is used

   Turn projects into stories, guides and FAQs. Use GEO marketing and advertising to bring new audiences to registration and experience pages.

   Review: AI search mentions, citations and channel traffic

4. 4

   Build the next cycle of use

   Improve apps with feedback and adjust advertising using effective creatives and audiences. Retain reusable data, apps and operating materials.

   Review: registrations, experience conversions and ongoing use

This is a concept flow. Wider public data use and awareness are goals; changes are assessed against agreed baselines and measurement scope.

• Participants blocked by data connections
• Teams needing help to build their ideas
• Inconsistent project submissions
• Execution and source checks before judging
• Ownership and operations after awards

1. 01
   Prepare tasks and data
   Define goals, permitted data and assets, tasks and evaluation criteria.
2. 02
   Support builds and review
   Support recruitment, education, build consultations, submissions, revisions and judging.
3. 03
   Publish and hand over
   Document improvements, user feedback, publication periods and responsible operators.

1. 1

   Data & build kit

   Provide datasets, connection examples, app templates and build guides together.

   Participants · data owners

2. 2

   Build & support space

   Bring challenges, materials, app experiences, build consultations and revision guidance together.

   Participants · educators

3. 3

   Entry & project review

   Collect project links and data references in a workspace for execution, attribution and revision checks.

   Operators · review support

4. 4

   Showcase & ongoing use

   Configure project galleries and sharing, with VibeOps, Fan Vibe and GEO integrations matched to the goal.

   Public · promotion & operations

Solution scope, access period, hosting, existing submission-system integrations, training and managed operations are defined in the proposal and quote. Screens illustrate the proposed configuration.

A planning concept using fictional materials. Actual data and publication scope are agreed with the organizer.

• Available datasets and access guidance
• App-building education and participant support
• Source, execution and usability checks
• Public demos, improvements and handover

Product scope, integrations, approval steps and measurement criteria are defined in the proposal. Sharing and AI search visibility are goals, not guaranteed outcomes. Media spend, solution fees and operating fees are itemized separately.

• Data readiness
• Participant scale and support period
• Education, judging and event scope
• GEO promotion and advertising scope
• Post-contest operations

Quotes specify whether prizes, advertising, venues, paid AI tools and hosting are included, and the applicable VAT. Pricing, participation and outcomes still require market validation.