Projects in HelsinkiProjects in HelsinkiHello Friends!
I created this short film in under two weeks, based on my own script, as an entry to Runway’s Big Ad Contest.
For the brief, I chose Product #4: Crown & Quill Bookmark.
The idea is simple: books are only valuable if you know what page to return to. Instead of showing this directly, I approached it through everyday behavior — what happens when people use anything but a bookmark. The result is a quiet accumulation of misplaced objects, lost context, and small disruptions that affect both readers and library workers.
The film draws from real events in Finnish libraries, where returned books often contain unexpected objects used as improvised bookmarks — from food to deeply personal items. News reports describe findings such as sausage, sandwiches, and even condom wrappers between pages. At Helsinki Central Library Oodi, staff have built a growing “memory wall” of these objects — a quiet archive of everyday traces left behind by readers.
https://www.hs.fi/kulttuuri/art-2000011018119.html
https://yle.fi/a/3-9528149
The idea is also rooted in personal experience: I’ve found dental picks inside library books, and once even received a call after leaving my European Health Insurance Card between the pages.
I used Runway’s tools throughout the process — including Cinematic Brainstorm for developing the scenes and built-in tools for generating SFX — and edited the final video in CapCut, where I recently joined the Creative Partner Program.
#RunwayBigAdContest 🎙️ Voice Agent Demo for Agency Website (Personal Project)
A live voice agent demo built for my agency website to showcase how AI voice assistants can handle real conversations, qualify intent, and respond naturally in real time.
Voice agents are easy to demo badly and hard to demo well. This project was about moving beyond “AI talking” and toward something that actually feels usable for businesses exploring voice automation for sales, support, or intake.
Quick Story: this was my first serious build on Replit.
There were plenty of trial-and-error moments around setup, deployment, edge cases, and stability, but pushing through those challenges gave me a much better understanding of rapid prototyping, iteration, and shipping working AI demos end to end. 
