
Instinct watches your video the way your audience will — frame, voice, pacing, and script — then predicts the retention curve, flags drop-off risks by timestamp, and scores your title before you publish.
Keyframe sampling reads opening composition, cut cadence, and scene-change pacing — the same signals a viewer's thumb reacts to.
Waveform and prosody analysis catches monotone stretches, awkward silences, and energy dips before they cost you retention.
Hook timing, promise-to-payoff distance, and narrative structure — scored against what's working in your niche right now.
Second-by-second forecast generated from video, audio, and transcript — see the full curve and the 30-second cliff before you publish.
Specific windows flagged with a reason: pacing dip, unresolved setup, energy drop, or weak transition. Fix the moments that cost watch time.
Title scored against your channel's history with concrete rewrites, plus an opening-30s diagnosis of whether the hook earns the click.
Upload your cut. Instinct runs the multimodal engine and returns the watch experience your audience is about to have:
Beyond the prediction engine, Instinct surfaces validation spikes, audience requests, emotional response patterns, and topic momentum from your real viewers — so you know what to make next.
Instinct reads your channel through three layers — Format (the scoring spine), Intent (why viewers actually come), and Niche (your subject domain). Every prediction adapts to all three.
21 formats. 10 viewer intents. One channel-specific prediction engine — because audience behavior means different things in different content ecosystems.