Blog

Writing on AI, video search, and footage management.

Technical breakdowns, product explanations, and honest opinions on why existing tools fall short.

Melbourne skyline at sunset
City · SunsetMelbourne grid of roads and towers under a pink-blue sunset.
Skyline from a high-rise
City · SkylineGlass towers crowding the frame from a high-rise vantage.
City streets at night
Night · NeonNeon-lit streets glowing beneath dark high-rises at night.
Lit tower over the city
Night · TowerAn illuminated tower at the centre of a glowing night skyline.
Technical · 7 min readHow AI Video Auto-Tagging Actually Works (and Why Most Tools Get It Wrong)Most AI video tagging returns flat object labels: "person, tree, building." That's not metadata — that's noise. Real editorial metadata tells you shot type, lighting, composition, and why an editor would pick the frame.Read more →
Technical · 5 min readHybrid Search Explained: Why Meaning Alone Isn't Enough for Footage DiscoveryMeaning-based search finds conceptual matches. Keyword search finds exact matches. You need both. Here's how DAAAM merges them — and why the result is better than either alone.Read more →
Opinion · 7 min readLocal-First AI for Video: Why Your Footage Shouldn't Live on Someone Else's ServerThe cloud is convenient until it isn't. For professional footage — documentary subjects, client work, NDA material, family archives — local processing isn't a preference. It's a requirement.Read more →
Guide · 8 min readNatural Language Video Search: How AI Is Finally Making Footage FindableThe problem is simple: you have thousands of hours of footage and no way to search it. The solution is meaning-based search — and it's finally good enough to use.Read more →
Industry · 9 min readThe DAM Problem Nobody Talks About: Why Video Asset Management Is Still BrokenPhoto DAMs proliferated because stills are easy. Video is frames × audio × timecode × multiple resolutions. This is why existing DAM tools fail for video-first workflows.Read more →

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