[Subject doing one simple everyday action] in [real location, time of day].
Observational documentary style, handheld camera at shoulder height with small natural sway, slightly imperfect framing, the camera reframes once to follow the action.
35 mm lens, natural available light, no stylized lighting, muted realistic colors, light film grain.
The subject does not look at the camera.
Ambient location sound only.
Matching tips for the edit:
- Generate at the same aspect ratio and frame rate as your real footage when the model allows it.
- Grade AI shots with the same node tree or LUT as the real footage, then add the same grain.
- Use them short (2 to 4 seconds) between real shots, not as the hero shot.
- Label AI generated shots in your project and follow your client's and platform's disclosure rules.
Before you run it Fill in anything in [brackets]. If it edits a project, use a duplicate and read the agent's plan before you say go
Make a [15] second kinetic typography sequence, [1920x1080 / 1080x1920], [30] fps, from this script:
"[LINE 1] / [LINE 2] / [LINE 3] / [PAYOFF LINE]"
Look:
- One heavy grotesk typeface, all caps for key words, tight tracking (about -2%).
- Two colors only: [near black #111111] background, [off white #F5F3EE] text, plus one accent [#FF4D2E] for the single most important word per line.
- Cut on words, not on lines. 3 to 8 frames per word on fast beats, hold the payoff line at least 1.5 seconds.
Motion vocabulary (use a mix, never all at once):
- words snap in with a fast ease out (about 6 frames) and a 2 to 4 px overshoot at most
- masked reveals from below
- scale punch on the accent word (100% to 108% and back over 8 frames)
- hard cuts between lines, no cross dissolves
Design a lower third system for a corporate interview series.
Look:
- Flat and quiet. No gradients, no glow, no 3D.
- Sans serif, two weights only: name in Semibold, role in Regular at 60% of the name size.
- Optional thin accent line (2 to 4 px) in the brand color [#HEX], to the left of the text or under the name.
- Text sits on the footage with a soft shadow (0 2 px 12 px, 25% black) or on a solid box at 85% opacity if the footage is busy.
- Bottom left, inside the title safe area, aligned to the same left edge as any other graphics.
Motion:
- In: 12 to 15 frames, ease out, small move (16 to 24 px) plus fade. Accent line leads by 3 frames.
- Hold: at least 4 seconds, or long enough to read the role twice.
- Out: 8 to 10 frames, ease in, reverse of the in.
Burn in captions in the bold, word by word style that creators like Alex Hormozi made popular. Description of the look, not a copy of any template:
- 1 to 3 words on screen at a time, never more than one line.
- Very heavy sans serif (Black or ExtraBold weight), ALL CAPS, large: about 8 to 10% of frame height on 1080x1920.
- White text with a thick black outline (6 to 10 px at 1080 wide) and a soft drop shadow.
- The word being spoken is highlighted in one accent color [yellow #FFE600 or green #3BFF6A]. Other words stay white.
- Key words (numbers, money, strong verbs) get a quick scale pop: 100% to 115% and back over 6 frames.
- Position: center of frame or just below center, never in the bottom 20% where the app UI sits.
- Timing: each word appears exactly when it is spoken, about 1 to 2 frames after the word starts. Never early.
- No emojis unless I ask. No animation on filler words.
Source: word level timestamps from Whisper. Output: the captioned video plus the caption file in [ASS / SRT / CapCut text track].
Caption style in the high energy look common on big creator channels like MrBeast. Describe and build it, do not copy any channel's actual assets or fonts:
- 2 to 4 words per caption, one line, centered just below the middle of the frame.
- Chunky rounded sans serif, bold, mixed case or caps.
- White fill, thick dark outline, plus a hard offset shadow (4 to 6 px down and right).
- Rotate color for emphasis words through a small palette: [yellow, cyan, red], max one colored word per caption.
- Every new caption enters with a fast pop: scale 80% to 105% to 100% over 5 frames.
- Big numbers and money amounts get their own caption, larger (130%), with a short shake (2 px, 4 frames).
- Sound effect hits (whoosh, pop) can be marked as [SFX] in a separate list with timecodes, do not add audio yourself.
- Keep everything inside the safe area and away from where the face is.
Show me 3 sample frames (a normal line, an emphasis word, a big number) before rendering the full video.
On the timeline "[TIMELINE]" (a duplicate), build a film emulation look on a single clip first: "[CLIP NAME]". Footage is [camera and log format, for example Sony S-Log3 / S-Gamut3.Cine].
Node tree, each node labeled:
1. "INPUT CST": Color Space Transform from [camera color space and gamma] to DaVinci Wide Gamut / DaVinci Intermediate.
2. "BALANCE": neutral white balance and exposure. Do not push contrast here.
3. "CONTRAST": gentle S curve, lift the blacks very slightly so pure black never happens (film rarely sits at true zero).
4. "SEPARATION": warm the skin and highlights slightly, cool the shadows slightly. Subtle, max a few points.
5. "SAT": reduce saturation in the very brightest highlights (highlight rolloff), keep mid tone saturation.
6. "HALATION" (Studio only, or skip on Free): a faint reddish glow around bright edges.
7. "GRAIN" (Studio only, or skip on Free): fine 35 mm grain, low strength.
8. "OUTPUT CST": DaVinci Wide Gamut to Rec.709 Gamma 2.4 with tone mapping.
Rules: keep each node subtle, I will push it myself. Tell me which nodes need Studio. Save the result as a still and a PowerGrade named "AgentCut Film Base" and do not apply it to other clips until I say so.
You want digital footage to feel like film (soft highlights, rich color separation, subtle grain) and you want the agent to build the node tree, not bake a filter
Template (fill in each line, then join into one paragraph):
Subject: [who or what, with 2 or 3 concrete visual details]
Action: [one clear action, present tense]
Setting: [where, time of day, weather]
Style: [cinematic live action / documentary / 16 mm film look / clean commercial]
Camera: [shot size: wide, medium, close up] + [angle: eye level, low angle, top down] + [one move: slow dolly in, static locked off, handheld follow, slow orbit]
Lens and focus: [35 mm, shallow depth of field, background softly out of focus]
Lighting and mood: [soft window light, golden hour backlight, cold overcast]
Audio (if the model supports it): [ambient sound only, for example distant traffic and wind]
Example:
A barista in a green apron pours steamed milk into a white cup, forming a leaf pattern. Small busy cafe in the morning, rain on the window behind her. Cinematic live action, natural color. Close up at eye level, slow dolly in toward the cup. 50 mm lens, shallow depth of field, background softly blurred. Soft window light from the left, warm and calm. Ambient cafe sounds, no music.
You generate B roll or establishing shots with Google Veo (or Kling, Runway, Higgsfield) and want consistent, controllable results instead of random ones