AI Builder Stories
Behind every AI tool is a person deciding which problem is worth spending time on. Zeal Caiden built Arcmira after finding that long-form video could contain the answer he needed, but not in a form he could actually use.
What Zeal built
Arcmira is a search engine for the spoken web. It lets you (and your AI tools connected to it) search public video conversations for clips and excerpts across people and channels. Users can research what was said, follow how a topic is gaining momentum, and set monitors for new mentions.
Why he built it
Zeal wanted to know who was appearing on TBPN and what they were saying. The show can run for more than four hours, five days a week. Rather than try to keep up by watching everything, he built a way to find what was actually said, and who said it.
One lesson for builders
"Build the retrieval layer for a workflow you personally cannot keep up with."
Zeal says connecting AI tools to Arcmira through its MCP makes it far easier to turn spoken conversations into downstream work, including short-form “hype reels.” He shared one example that he says took much less time than anticipated, and ended up being retweeted by Marc Andreessen and Garry Tan. The broader lesson is practical: start with a source of information you cannot realistically absorb, then make it usable.
Explore Arcmira, and browse other practical tools in The AI Navigator’s AI tools directory.