The Discovery Agent is built to understand natural language, so you don't need to use strict keywords or know how your catalog is organized. But like any AI assistant, how you ask can shape what you get.
Where the Discovery Agent excels
The Discovery Agent works by analyzing visual content, contextual cues and spoken dialogue. Knowing where it excels (and where it currently has limitations) helps you craft prompts that deliver the best results.
People doing or saying things: finds specific people or recurring subjects, especially in well-catalogued content. Example: "Messi celebrating goals."
Visual settings and environments: describe a location or setting visually. Example: "Protest scenes in city centers."
Clear visual actions: describe what's happening on screen. Example: "Penalty kick sequences."
Thematic and mood-based searches: broader themes using visual and contextual cues. Example: "Emotional reunion moments."
The Agent works especially well on widely recognized shows, sports leagues and major news events, since it's learned from iconic and memorable moments across industries.
Where it has limitations
Cinematography techniques: can't currently detect specific camera techniques. Example: "Drone shots panning over the stadium."
Highly specific movements: general movements work well, but nuanced techniques are less reliable. Example: "A left hook counter punch."
Tone and delivery: can't currently detect sarcasm, irony or vocal tone. Example: "Sarcastic remarks during a press conference."
Subjective or abstract qualities: highly personal and less reliable without more context. Example: "The funniest moments."
Start with the why
Good prompts don't just describe what you want, they explain why you want it. When the Agent understands your purpose, it delivers more relevant moments. For example: "I'm cutting a trailer, and need dynamic crowd reactions to match a fast-paced edit." Or: "I'm building a season recap and need standout individual performances." Add your use case, like a trailer or a best-of compilation, so the Agent can prioritize tone, pace and framing.
Give it context
Share who your audience is, where the content will be published, and the style or format you usually work with. Sharing these details helps the Agent understand the bigger picture. For example, if you're creating content for:
Social media platforms like Instagram or TikTok, where short, punchy clips work best.
A documentary, which needs in-depth interviews and informative visuals.
If you have a creative brief or instructions from your team, paste that into your prompt too.
Be natural, but precise
The Discovery Agent is smart, but it's not a mind reader. Vague prompts like "something cool" or "a nice clip" are open to interpretation and lead to weaker results. Break abstract ideas down into visuals, soundbites or feelings instead, for example: "Looking for moments where people are laughing, dancing or celebrating in a casual setting." or ““Find moments where the audience erupts in applause, or the keynote speaker delivers a bold, memorable line.”
Tell it what kind of content you want
Be clear about the format or type of moment you're after: a shot, a moment, a photo, a soundbite or a full video.
A single shot: "I need a wide shot of a crowded train platform during rush hour, no dialogue, just ambient."
A moment: "Show moments of someone prepping food in a kitchen, from chopping to plating."
A photo: "A photo of a busy urban intersection at night, long exposure with light trails from traffic."
A soundbite: "Find a soundbite where someone talks about overcoming self-doubt, under 10 seconds, emotionally delivered."
A full video: "Do we have a full video on our latest community outreach project, ideally under 2 minutes?"
Use follow-ups to narrow your search
Treat it like a conversation rather than starting from scratch. Add instructions straight into your prompt, or as follow-ups, for example "only show clips that are 3 minutes long" or "only show results from the 1990s." The Agent remembers your previous prompt, so you can iterate naturally.
What's next
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