·
Kamal Sankarraj
·14 min read

How to edit any video with AI agents

Every high-retention video uses the same set of editing techniques — quick cuts, zooms with sound effects, lower thirds, animated captions, and a consistent color grade. But the dials change with the destination. A YouTube long-form video wants 5-second cuts and a cinematic LUT. A TikTok Short wants 1-second cuts and punchier captions. A LinkedIn post wants no background music. A Loom update wants just silence removal and nothing else.

PandaStudio was built so an AI agent can do all of this — the right way, per destination — in a single prompt. This post is the playbook: what each lever does, how the dials change by platform, and the exact commands an agent uses to apply them.

The four levers of a polished video

A 10-minute video contains roughly 1,200 viewer attention decisions — one per half-second. Every one of them is a chance for the viewer to click away. Good editing is the art of preventing that click through pattern interrupts: cuts, zooms, sound cues, motion graphics, color shifts.

PandaStudio's features map onto four levers every good editor pulls: pacing (cut the dead weight), emphasis (point the viewer's eye), production polish (lower thirds, color, music), and accessibility (captions). The trick is matching the dial settings to the destination — which we cover next.

Destination profiles — the same tools, very different dials

Four profiles cover 95% of video work. Pick the matching row and apply every default — don't mix and match.

SettingYouTube long-formShorts / TikTok / ReelsLinkedInLoom / internal
Aspect16:99:1616:9 / 1:116:9
Hook deadline10 s3 s10 s
Intro card2–4 s0–1 s or none2–3 snone
Lower thirdsat first mentionsno (frame too tight)yesno
Zooms / min3–66–121–20–1
Zoom SFXswoosh-fastswoosh-fastquiet or nonenone
LUTby content @ 0.5–0.8modernVibrant @ 1.0naturalEnhanced @ 0.3none
Music volume0.150.30— (none)— (none)
Captionspanda-pop / panda-cleanpanda-neonpanda-cleanoptional

Every agent prompt starts with picking the profile. PandaStudio's SKILL.md tells the agent to detect it from the prompt ("YouTube", "Shorts", "LinkedIn", "Loom"), from the source clip orientation, or ask one short question when it's truly ambiguous. After that, every dial flows from the matching row.

Lever 1: Pacing — cut the dead weight

The single biggest retention lever, regardless of destination. Filler words ("um", "uh", "you know"), silences longer than half a second, boring middles (setup screens, scrolling). Creators who do this well see 30–60% length reduction — and higher retention on what survives.

pandastudio transcript.transcribe --id=$ID
pandastudio transcript.remove-fillers --id=$ID
pandastudio transcript.remove-silences --id=$ID --minSilenceMs=500
# Loom / internal: more aggressive
pandastudio transcript.remove-silences --id=$ID --minSilenceMs=300

Speed regions (fast-forward) for B-roll and setup screens, never over voice. Shorts tolerate 2–3× speed-ups; YouTube long-form stays at 1.5×.

Lever 2: Emphasis — zooms with sound effects

Zooms tell the viewer "this matters, look here." Paired with a short sound effect, they trigger the same attention spike as a camera cut without having to re-shoot.

Every new zoom in PandaStudio ships with a default swoosh-fast SFX already attached. An agent scans the transcript for phrases like "click", "here", "select", "look at", "and now" and drops a zoom at each one — at the profile's cadence:

# YouTube / LinkedIn / Loom: 1.5-2s zoom
pandastudio project.add-zoom --id=$ID --atMs=42000 --durationMs=1500 --depth=3

# Shorts / TikTok: shorter, punchier, denser
pandastudio project.add-zoom --id=$ID --atMs=42000 --durationMs=1000 --depth=3

# Big reveal — works in any profile except Loom
pandastudio project.add-zoom --id=$ID --atMs=95000 --durationMs=2500 --depth=5 \
  --soundUrl=bundled:sound/dramatic-whoosh --soundVolume=0.7

# LinkedIn: quieter SFX — the audience is at work
pandastudio project.add-zoom --id=$ID --atMs=42000 --durationMs=2000 --depth=3 \
  --soundVolume=0.5

Want to change the sound on an existing zoom? project.set-region-sound --regionType=zoom --regionId=zoom-1 --soundUrl=none mutes it.

Lever 3: Production polish

Intro hook (YouTube long-form and LinkedIn only)

2–4 seconds, never more. A branded title card generated from an HTML template. Shorts don't get an intro — the first 3 seconds are already the hook. Loom doesn't either.

JOB=$(pandastudio motion.generate \
  --templateId=youtube-lower-third \
  --slots='{"channelName":"YourChannel","handle":"@yourhandle"}' \
  --json | jq -r '.data.jobId')
FILE=$(pandastudio job.wait --id=$JOB --json | jq -r '.data.outputPath')
pandastudio project.add-motion-graphic --id=$ID --file=$FILE --durationMs=3000 \
  --atMs=0 --soundUrl=bundled:sound/message-pop --soundVolume=0.7

Lower thirds — YouTube long-form and LinkedIn

At the first mention of a person, product, or tool, 3–5s on-screen. Default mouse-click SFX. Skip for Shorts (frame too tight) and Loom (too formal).

pandastudio project.add-lower-third --id=$ID --atMs=15000 \
  --content="Alex Chen" --subtitle="Founder, Acme" \
  --designType=slash-reveal

Color grade — one LUT per project

Use the profile's fixed LUT for Shorts, LinkedIn, and Loom. For YouTube long-form, pick by content type:

Content typePresetIntensity
Tech tutorial / SaaS demomodernVibrant0.7
Cinematic vlogcinematicTealOrange0.9
Educational / neutralnaturalEnhanced0.5
Moody storytellingmoodyDark0.7
Travel / lifestylewarmSunset0.7

Background music — YouTube and Shorts only

15% for long-form, 30% for Shorts (more impactful role). Skip for LinkedIn (workplace audiences) and Loom (just a quick update).

Lever 4: Accessibility — captions

85% of feed plays start muted. If your video isn't captioned, the first three seconds are silent and viewers scroll past. Animated per-word highlighting lifts retention 20–30% for short-form, 5–10% for long-form.

pandastudio caption.toggle --id=$ID --enabled=true
# Profile-specific template:
#   YouTube long-form → panda-pop (tutorial) or panda-clean (professional)
#   Shorts / TikTok   → panda-neon (positioned higher, positionY=0.65)
#   LinkedIn          → panda-clean
#   Loom              → optional, panda-clean
pandastudio caption.set-template --id=$ID --templateId=panda-pop

The one-prompt agent recipe

Given a raw recording + a destination, the agent runs this end-to-end:

  1. 1. Resolve the destination profile (from the prompt, source orientation, or one short ask)
  2. 2. Set the aspect ratio from the profile
  3. 3. Transcribe + clean audio (skip if already done)
  4. 4. Remove fillers + silences (profile decides silence threshold)
  5. 5. Scan transcript for UI / reveal phrases, drop zooms at the profile's cadence
  6. 6. Intro title card (skip for Shorts and Loom)
  7. 7. Lower thirds at first person/product mentions (YouTube + LinkedIn only)
  8. 8. Apply the profile's LUT to every clip
  9. 9. Background music at the profile's volume (YouTube + Shorts only)
  10. 10. Enable captions with the profile's template (skip for Loom)
  11. 11. Export — the native Skia pipeline composites everything in one pass

Typical agent run time: 2–15 minutes depending on profile and length. A 60-second Short is under 2 minutes; a 10-minute tutorial is 8–15. Compared to 4–6 hours manually.

Traps to avoid

  • Mixing profiles. Don't apply YouTube long-form music volume to a TikTok — it'll feel underwhelming. Pick a profile, commit.
  • Three effects on the same moment. Zoom + motion graphic + lower third at the same second = visual noise. Pick one.
  • Multiple LUTs. One preset per project. Consistency > variety.
  • SFX on every cut. Rule: 1 meaningful SFX per 15–30s. If everything sounds important, nothing does. Exception: Shorts can go 1 per 5–10s.
  • Speed through voice segments. Speed regions are for B-roll, setup, and scrolling.
  • 10-second logo intro. Retention graph always shows a cliff there. Cap at 4s, 0–1s for Shorts, none for Loom.
  • Motion graphics on a Loom. Kills the "this is a quick update" vibe. Loom profile skips them entirely.

Try it

PandaStudio runs locally on your Mac or PC. The AI agents talk to it over a localhost API — no cloud upload, no subscription, no footage leaving your machine. Record once, prompt once, export to your destination.