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Jump cuts in a talking head feel less jarring if every other cut gets a 10-15% punch-in. Same footage, reads like two camera angles. Don't push past ~20% on 1080p or it goes soft, and keep the eyes in the same spot of the frame.
A signup is not a user. For a video editor, the user moment is the first cut on their own clip. So onboarding shouldn't be a tour of the editor. It should get their own footage onto a timeline with one obvious thing to fix.
The part of an edit I used to put off was the silence pass. Now I do it first. Once the dead air is gone you can actually judge pacing, spot b-roll moments and find the hook, because you're watching the real length of the video, not the padded one.
Burn in your captions. Plenty of people watch with the sound off, and even with sound on, audio is rarely perfect: a noisy room, a fast talker, a word that gets swallowed. Captions are what keep those viewers following instead of scrolling.
Really nice build. The part I'd test next is the second pass. Someone asks to change one cut or fix one caption. If the edit only exists as HTML plus a render, that's a full re-render. Keeping the cut list as data you can edit makes round two way cheaper.
3-minute AI history video, 100% code. Claude Opus + HyperFrames (HTML/GSAP โ MP4), 16 scenes built by parallel agents, local TTS, Whisper-synced captions, a music score written in Python. Fact-checked, rendered on a laptop in 7 minutes.
Agree on dead air first. Pacing is hard to judge while the gaps are still in. Tip: keep that pass purely mechanical. Cut the gaps, don't judge the content yet. Mixing "is this part boring?" into the silence pass is how it eats the whole afternoon.
The 3-stage workflow to edit A-roll without sacrificing retention:
1. The "Ugly Cut"
Cut the dead air, filler words, and bad takes. Do not touch color, graphics, or B-roll yet. If the raw A-roll story can't hold attention on its own, flashy motion graphics won't save it.
2. Dynamic Pacing
Before placing visual assets, build your J-cuts and L-cuts. Overlap dialogue transitions so the ear is pulled into the next thought before the eyes even realize the scene shifted.
3. The Polish
Voice normalization, EQ, and surgical noise reduction.
High retention isnโt an accident. Itโs an engineered process.
Very relatable. What helped me: lock the rough cut, then do one pass per concern (pacing, then audio, then captions). Before each pass, watch once at 1x with hands off the keyboard and just write notes. Most second-guessing happens while scrubbing.
I timed myself editing today.
15 minutes editing.
48 minutes staring at the timeline wondering if one cut was better than another.
Perfectionism is expensive.
@roronoaaria Resolve gets easier if you shrink it at first. Stay on the Cut or Edit page and ignore Fusion, Fairlight and Color for now. Learn a few shortcuts: B for blade, Cmd/Ctrl+B to split, ripple delete, I and O for in/out, J/K/L to shuttle. That covers most edits.
@mozamm_el Can't judge specifics from here, but three checks I'd run on any 10s edit: does the first second give a reason to stay, do the cuts land on motion or a beat, and is the voice clearly above the music on a phone speaker? Yes to all three and you're in good shape.
@ClickHere4Me@ImMeme0 Same here. For creators: clean the audio first (a little noise reduction and steady levels go a long way), then burn the captions in so they show everywhere. Captions shouldn't be the only way to follow along, but they save a lot of viewers when audio is rough.
@Miguel07Code@claudeai@HyperFrames_ Nice workflow. Curious how you handle revisions: when the agent's edit is close but one cut is off, do you re-run it or fix it by hand? We went with the second at https://t.co/r2BfUwqZVD. The agent edits a hosted timeline you can still open and tweak yourself.
Generation is half of it. The other half is after the model hands back a shot: trim it, move it, swap one clip without regenerating the rest. We're building https://t.co/r2BfUwqZVD around that part, an edit that lives on a timeline you can open and nudge.
@rinsana i don't think i'm saying it's 'better' than anything else per se but just the idea that this video was made by an ai running a harness calling ai video models with minor guiding by me
it's more an example of what's possible right now given tools available to all of us
Cutting silence? Don't cut every breath. Remove the long gaps, the ums and the restarted sentences, but keep a short breath before each new sentence. Zero breaths makes a talking head sound rushed and robotic.
Caption tip for vertical video: max 2 lines, ~32 characters per line, and break at phrase boundaries. "I tested this / for three weeks" reads better than "I tested this for / three weeks". Keep them clear of the bottom UI on Reels and TikTok.
For basic edits: pick one app and learn 5 things. Cut, trim, captions, audio levels, export settings. That covers most videos. Every app switch resets your muscle memory, and the tool was almost never the bottleneck.
Started editing.
Started with DaVinci โ then Premiere Pro โ then CapCut โ now Insta Edits.
Bro, Iโm just trying to make some basic video edits ๐ญ
Agree. Transcripts and rough cuts are cheap now, so the value moves to picking the hook and cutting the boring parts. That's why https://t.co/r2BfUwqZVD hands you a real timeline, not a baked MP4: the AI does the grunt work, you keep the taste calls.
5. VIDEO EDITORS NEED TO ADAPT
The video editing industry is changing.
AI is making editing faster.
Automated captions are everywhere.
AI-generated B-roll is becoming normal.
Transcription takes seconds.
Rough cuts can be automated.
Content repurposing is becoming easier.
So what happens to video editors?
We adapt.
The editor of the future isnโt just someone who knows how to use Premiere Pro or DaVinci Resolve.
They understand:
Storytelling.
Retention.
Hooks.
Short-form content.
AI tools.
Automation.
Content strategy.
Thatโs the direction Iโm moving toward.
Iโm sharpening my traditional editing skills while learning how to use AI to build faster workflows.
And now Iโm opening myself up to clipping jobs.
If you have long-form content and need someone to turn it into engaging short-form videos, Iโm available.
**Donโt wait for the industry to change around you.
Change with it.**
Same experience. The skill that cut my handholding most: a verify step that grabs a few preview frames and checks the transcript against the cut list before the full render. Compute time is fine. Redoing a bad full render is what eats the hour.
AI video editing gets easier when you formalize the workflow: reusable skills, MCP servers, and clear steps. My videos still take about an hour, mostly compute time, but the agent needs less handholding each run. #AI#AgenticTools#ContentCreation
@ssaaaadd_sh It's usually the timing, not the words. Auto transcribe, fix the few wrong words in the text, then let it re-align. Break lines at natural pauses and keep them under ~32 characters. Reads way better on a phone.