How do we get an interactive experience ready for an event?

Use AI to accelerate production while keeping developers responsible for code quality and people responsible for selecting the final content. In a high-pressure event build, AI tools acted like an extra junior developer, speeding up tasks and reducing time spent consulting documentation. The account credits those tools with making the deadline achievable, but also describes repetitive code that needed expert oversight.

For G42's Intelligence Grid 2.0, a bespoke content management system supported an AI-assisted video pipeline: generating images, converting them into 3D models and animating them on green screens. Production that would normally take hours per video took minutes. Thousands of videos were created, with around 170 curated for the final experience. The practical lesson is to plan human review and selection into accelerated production, rather than treat generated outputs as finished work.

Decide whether the interactive experience is a temporary activation or a platform that must remain useful after the event. That distinction changes how much maintenance debt is tolerable under deadline pressure. The accelerated development account describes an initial codebase that was bloated, repetitive and difficult to maintain. Duplicating code instead of structuring it for reuse created technical debt: working software that could slow later development. The account argues that such a tradeoff may matter less for short-lived projects, but matters substantially for permanent ones.

G42's Intelligence Grid 2.0 illustrates why the event date need not define an experience's lifespan. It launched across six screens at GITEX GLOBAL in Dubai and continued as a flexible online platform, updated across the G42 group. Set the quality threshold around that intended future use, not only the launch deadline.