Drop in your footage. AI agents produce the video.
Agents draft the story from your own words and plan the edit. The autonomous Producer checks the story, then builds, renders and packages it with graphics, captions and mixed audio. You approve the upload.
By iLyas Bakouch, creator of CoProd. Produced with CoProd, then refined with an AI-assisted editorial pass in Final Cut Pro.
Agents propose.Code verifies.You decide.
CoProd is built as a production harness. AI agents return structured plans, never code; checks validate and build them; and on an autonomous project the Producer carries every machine gate until a check needs a person.
AI agents propose. The Story Editor picks lines from your transcript, the Director plans the edit, and packaging drafts titles and chapters, with the AI providers you choose.
The Producer verifies. Its checks are deterministic code with no usage cost. It approves the storyboard and rough cut when they pass, and stops with findings when they don’t.
You decide. Your script and every upload. The story too, if you ask.
Start from footagePremium
Drop in unscripted takes and let the Producer find the story.
Start from a scriptBoth editions
Approve your script, and the Producer matches your takes to it.
Turn your approved script into a narrated rehearsal with planned visuals. Hear the pacing, refine the story, and carry reviewed direction into your real recording.
PLAY THE REHEARSAL64-second scratch cut from “Your AI-generated app is not production ready” · Synthetic voice · Planned graphics & presenter stand-insRead the rehearsal transcript
I think we're about to have a production-readiness crisis. Not because AI is bad at writing code. Actually, the opposite. AI has become incredibly good at writing code.
You can open Claude Code, Codex, Cursor, whatever tool you prefer, describe an application, and a few hours later you have authentication, a database, payments, a nice-looking frontend, maybe even a deployment.
And that's amazing. But there's a dangerous conclusion we're starting to draw from this: If the application works, the application is ready. It's not. Because getting software to work was never the hardest part of software engineering. The hard part begins after it works.
What happens when the database is unavailable? What happens when two requests modify the same record? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 AM when customers tell you their data disappeared? And, maybe most importantly: Who actually understands the system well enough to answer those questions? That's what I want to talk about today.
Use your rehearsal to review the opening, repeated points, pacing, and how soon you reach a useful example. Get suggestions tied to the actual words in your script.
See how it works
Watch the passage.Jump to the relevant words in your rendered rehearsal.
Compare the revision.Preview proposed wording, keep it, or dismiss the suggestion.
Hear your choice.Save a new script version, approve it, and rehearse again.
Your writing provider reviews the script and synthetic reading times; cloud feedback uses your API key and is billed separately. Local checks flag exact repetition and timing cues. You choose every change.
Improve before recordingOPENING
ORIGINAL · SCRIPT V1
Today we’re going to look at why two servers can still go down together. Before we get to the example, there is an important point to understand: both servers rely on the same database. If that database fails, both servers lose access.
Suggestion: Lead with the shared database example already in the script. Shorten the introductory setup.
Preview an example revision
PROPOSED WORDING
Two servers. One shared database. If that database fails, both servers lose access. Let’s start with that dependency.
Save as a new script version → Approve the script → Rehearse again
Illustrative script and revision. Feedback uses synthetic reading times and wording; it does not predict audience retention.
02Record
Match your takes to the story.
Import your recordings. CoProd transcribes every take with word
timings, matches it to the story, and brings the selected takes
together.
CLEAN CUTS
Keep the good takes.
Match your recordings to the script and bring the selected takes together.
Edited
Original retries versus the opening selected for the edit.
All versions & transcript
Original videoI think what happened I think we're about I well I think we're about to have a production readiness crisis
Edited videoI well I think we're about to have a production readiness crisis and not because AI is bad
03Edit
See what the Director adds to your recordings.
The Director agent plans graphics, captions and sound. One creator
project: play an example, then switch treatments to compare the
difference.
SPEECH-CUED GRAPHICS
Show what you’re explaining.
Bring tool cards into the picture at the moment you name them.
With graphics
Same footage and speech audio. Switch the graphic treatment.
All versions & transcript
Presenter only videojust open Codex Cursor whatever tool you prefer and just describe an application and you know a few hours later you have authentication database payments a nice looking front-end but
With graphics videojust open Codex Cursor whatever tool you prefer and just describe an application and you know a few hours later you have authentication database payments a nice looking front-end but
PUNCH-LINE CAPTIONS
Make the key lines land.
Emphasize the important spoken lines with a pop or word highlight.
Word highlight
Same passage and audio. Three treatments for the key line.
All versions & transcript
Off videotime? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 a.m. when customers tell you that their data had, you know, disappeared?
Pop videotime? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 a.m. when customers tell you that their data had, you know, disappeared?
Word highlight videotime? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 a.m. when customers tell you that their data had, you know, disappeared?
SOUND DESIGN
Give the edit its sound.
Polish your voice, tuck music beneath it, and add effects at the spoken cue.
Full mix
Same picture. Compare voice alone with the prepared music and effects mix.
All versions & transcript
Voice only videotime? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 a.m. when customers tell you that their data had, you know, disappeared?
Full mix videotime? What happens when your AI agent quietly introduces a security vulnerability? What happens at 3 a.m. when customers tell you that their data had, you know, disappeared?
Real footage from the same project. Caption styles and the sound mix were rendered locally for these examples.
App-rendered opening · Selected footage from 3 recordings · Captions, graphics and mixed audioOriginal opening take · False starts and retries preserved · The edit also uses other recordings
Read the opening transcripts
Edited opening
I well I think we're about to have a production readiness crisis and not because AI is bad at writing code actually quite the opposite AI has become incredibly good at writing code and just open Codex Cursor whatever tool you prefer and just describe an application and you know a few hours later you have authentication database payments a nice looking front-end but there's a dangerous conclusion we are starting to draw from this
Original take
I think what happened I think we're about I well I think we're about to have a production readiness crisis and not because I'm not because AI and not because AI is bad at writing code actually the quite the opposite actually quite the opposite actually actually quite the opposite AI has become incredibly good at writing code and you can just incredibly good at writing code you can just open cloud Codex Cursor whatever tool you prefer and just describe an application and you know a few hours later you have authentication database payments a nice looking front-end maybe even a deployments and that is amazing I give you that but there is
Keep the pace. Change the direction.
Review the storyboard and rough cut. Revise a scene, change its graphic, or adjust the pacing before the final render. On an autonomous project, the Producer approves both when its checks pass and stops for you when they don’t. In Premium it first screens the rough cut, fixing weak or missing visuals without touching your speech, timing or music.
Recorded in the native Mac app · Synthetic demo project · No audioPremium
Chapters that open with a bumper. An end screen that’s ready.
Showman opens each chapter with an animated title bumper, ends on a
watch-next and subscribe screen, and keeps punch-ins on your face,
all in your channel’s colors and name.
PremiumACROSS EVERY VIDEO
Generate a sound once. Reuse it in every video.
Generate an effect once. It’s automatically tagged and saved to your sound library, ready to browse, play, and reuse in the next video. Keep your channel’s sound consistent without paying to generate it again.
Import sounds you already love, favorite the best ones, and choose signature effects for chapters, reveals, and captions.
LOCAL GENERATION, NO API CHARGE
Create one-shot effects on your Mac with MOSS-SoundEffect. Generation and automatic tagging run locally after a one-time setup. Prefer ElevenLabs? Connect your own API key; provider usage is billed separately.
Real built-in effects from Studio · Generate and save your own in PremiumAlso included in Premium: a reusable brand-visual library
YOUR CREATIVE TOOLKIT
Visual library
Built-in
AWS
OpenAI
Claude
Cursor
Gemini
Docker
Kubernetes
Python
Rust
React
Postgres
Figma
Actual bundled brand marks · Included in Premium
PremiumON SCREEN, BESIDE YOU
Your brands. On camera with you.
Talk about a tool and show it. Pick a mark — AWS, OpenAI, Claude, Cursor and dozens more are built in — and it appears beside you exactly when you name it in the recording.
Import your own logos and diagrams too. Every visual lives in one searchable library, ready to reuse in the next video.
NO GENERATION, NO API CHARGE
Built-in marks ship with the app for referential use when you cover those products on camera; every mark remains the trademark of its owner. Import your own SVG, PNG, JPEG or WebP artwork for anything else — reusing a saved visual never costs anything.
Render the reviewed cut locally, or finish it in DaVinci Resolve
or Final Cut Pro and bring your master back. The Producer prepares
the package; uploading always needs your approval.
Upload approval is always yours.
THE COMPLETE YOUTUBE PUBLISHING PIPELINE
From final cut. To your channel.
Your video, thumbnail, title, and description belong together. Take them from the edit to YouTube in one workflow, with your approval before upload.
01
Finish the video
Approve the rough cut and render the final master, or bring back your finished edit from Resolve.
02
Prepare the package
Generate title candidates, a description, tags, and chapters timed to the rendered video. Compare two thumbnail variants and select the exact revision to upload.
03
Approve, then upload
Review the package and selected thumbnail, approve them, and upload to YouTube from the app. Google sign-in authorizes the upload; the project keeps the resulting video link.
PremiumFinish in Final Cut Pro or DaVinci Resolve.
One click turns the assembled cut into an editable project on your original footage and opens it in your editor. Footage, graphics, captions, narration, music, and sound effects arrive as separate clips.
A creator’s publishing previewTwo thumbnail variants
Variant A
Variant B
RECOMMENDED TITLE
Your AI-Generated App Is Not Production Ready
Project render · 13:41
Description and 18 tags prepared
12 chapters from the rendered timeline
Two creator-provided thumbnail options
Read the description and chapters
AI can generate an app faster than you can understand its production risks.
A convincing demo is not a reliable system: distributed failures, security boundaries, observability, and recovery still need deliberate engineering.
This video explains where AI-generated applications commonly fall short once real users, dependencies, outages, and operational responsibility enter the picture.
For cloud engineers, software developers, technical leaders, and builders using AI-assisted development, this is a practical framework for evaluating production readiness before deployment.
We cover distributed systems failure modes, why authentication is not the same as security, observability, backups versus recovery, and the questions senior engineers should ask before an app goes live.
Production readiness crisis
The AI illusion
Where production begins
Distributed systems remain
Security beyond authentication
The deeper problem
Observability
Backups vs. recovery
The engineering job shifts
A new definition of senior
Five production questions
Closing
You choose the thumbnail. You approve the upload.Review the complete package before publishing.
Click a retention dip to open its script passage and rendered scene. Watch the lead-in, revisit the recorded direction, and choose one experiment for your next video.
01
Find the passage behind the dip.
Review the script and scene from the saved render.
02
Investigate a possible reason.
Was the payoff late? The explanation repetitive? Treat it as a hypothesis.
03
Choose one change to try.
Your experiment and comparison plan enter the next new project’s writing brief.
Retention shows where viewers skip or leave. The reason still needs investigation.
Alongside chapter lessons, topic recommendations, and business outcomes, give your next production a specific creative experiment.
Investigate a dipFICTIONAL EXAMPLE
Watch ratio · illustrative samples
SCRIPT PASSAGE · V1
Before we see the result, let’s walk through each setting.
Scene 03 · 0:35–0:50
Presenter explains the settings before the finished result appears.
Recorded decision: Explain the setup first so viewers can follow the process.
SCRIPT PASSAGE · V1
Let’s go over that same configuration one more time.
Scene 07 · 1:15–1:30
The settings panel stays on screen during a second explanation.
Recorded decision: Repeat the configuration to reinforce the key steps.
Choose one change to preview the next-video brief.
NEXT-VIDEO BRIEF · ONE CHANGE
Hypothesis to investigate:
Use comparable reporting windows and audience context. Differences between videos do not prove the cause.
Interactive illustration with fictional data and passages. In Premium, review your linked production’s actual footage. If a match cannot be confirmed, the app explains the gap.
PremiumOptional, from the finished video
Shorts from the same finished cut.
CoProd proposes vertical Shorts from the finished video — moment ranges, drafted titles, hook lines, hashtags — and scores each cut on hook, flow, value and trend alignment as a sorting hint, never a view prediction. You approve every upload.
See how it works
Start from the finished video.
Shorts open from a project whose final render is saved, using the same speech the full video was built from. No re-editing and no separate project.
Review the proposed cuts.
Each cut arrives with its moment range, a drafted title, hook line and hashtags, and a score for hook, flow, value and trend alignment — so you can start with the strongest candidates.
Export or upload, one approval at a time.
Save any cut as a video file, or upload it to YouTube from the app. Your approval is required every time, and Premium uploads go up private-only.
Cutting, drafting and scoring use your configured AI providers; paid provider usage is billed separately. The score is a sorting hint that describes how a cut reads — it is never a prediction or a promise of how the Short will perform.
A patched runtime cannot tell you whether somebody got in first.
#1 Score 98 · 1:00 · from 9:10
Hook 10 · Flow 10 · Value 10 · Trend 9
Your rollout is not finished just because the service responds.
#2 Score 94 · 0:45 · from 5:15
Hook 9 · Flow 10 · Value 10 · Trend 9
A green pipeline can still ship a vulnerable runtime.
#3 Score 92 · 1:02 · from 3:57
Hook 9 · Flow 9 · Value 10 · Trend 9
A PHP bug can let an attacker run code on your server without logging in.
#4 Score 88 · 0:37 · from 0:09
Hook 9 · Flow 9 · Value 9 · Trend 8
Illustrative cards from a real CoProd project, not generated on this page.
PremiumAfter you publish
A video for your channel. A draft for your readers.
Once your final render is saved and the project is marked as published, turn the words in that video into a blog post or newsletter issue.
Pick a blog post or newsletter, its length and language. Add your direction, tone, or call to action.
Make the draft yours.
Edit the wording yourself or request an AI revision. Previous versions stay available; your own edits save locally.
Take it to your publishing tool.
Copy formatted text or export Markdown, HTML, or plain text, with your YouTube link included. Review it, then publish on your blog or send it through your newsletter platform.
Generation and AI revisions use your configured writing provider. Paid provider usage is separate; transcribing the final video may also incur a charge. Review any supplied references before publishing.
From the finished videoSelected speech
THE SPOKEN IDEA
“Two servers still depend on one database. If that database fails, both lose access.”
Preview a blog post
TITLE
Two servers, one point of failure
EXCERPT
A second server doesn’t remove a dependency both servers share.
Start with the shared dependency
Both servers rely on the same database. When it fails, neither server can access the data it needs.
Before counting servers, trace what they depend on. In this example, the database remains a single point of failure.
Preview a newsletter
SUBJECT
What both servers still depend on
PREVIEW TEXT
The shared database deserves a closer look.
ISSUE TITLE
Follow the dependency
This week’s video starts with two servers and one shared database. If the database fails, both servers lose access.
The question to carry into your own setup: what do your servers still depend on together?
Markdown · HTML · Plain text · Formatted copy
Illustrative excerpts, not generated on this page. Your draft draws on speech in the finished video, with discarded takes and filming notes left out.
YOUR STUDIO. ONE PAYMENT.
Buy once. Keep creating.
No subscription. Two years of updates. Keep using your last eligible version.
CoProd Premium
One-time purchase. No software subscription.
One creator on every size. All Macs share the same two years of updates.
Discount details
Code Q1MJI2OA brings the US$149 price to US$50 for the first 50 buyers. It is applied automatically at checkout.
Ready-to-install Mac app and license key
Editing, graphics, captions, audio, and publishing tools
Premium rehearsals, reusable libraries, and channel insights
Two years of updates; keep your last eligible version
71-second demo rough cut · 1080p · Synthetic footage · Local Kokoro narration · Mock direction
WHY REDUNDANCY IS NOT HIGH AVAILABILITY
A script. Four scenes. A rendered cut.
The demo combines synthetic footage with motion graphics, captions, narration, and mixed audio. It shows the local production workflow without paid AI calls.
Start with the script. The example uses a short technical explainer.
Review the storyboard. Four scenes carry the story, with visual direction for each.
Watch the rough cut. Review the result before approving a final render or upload.
You have two servers. Two copies of the database. Maybe even two regions. Then one ordinary deployment takes everything down. The architecture was redundant. The service was not available.
Redundancy describes the parts you own. Availability describes what a user can actually do. Adding another copy only helps when the failure that breaks one copy leaves the other useful.
Imagine two application servers behind a load balancer. Both depend on one database endpoint. When that shared dependency fails, the second application server is just another machine returning the same error.
Even independent copies are not enough. Something must detect the failure, route traffic, and preserve the information needed to continue. A standby that nobody can reach is capacity, not recovery.
So test the entire path. Break a dependency. Watch detection. Measure the switch. Check a real request. Include the control plane, credentials, and the people who have to make the decision.
The useful question is not, how many copies do we have? It is, what happens to the next user request when this part fails? Availability is a behavior. Build it, then prove it.
After you buy
Check out securely.Lemon Squeezy handles payment; your receipt includes the Mac installer and license key.
Install and activate.Paste the key into the activation screen — one creator, 1, 3 or 5 Macs.
Keep creating.Activate online. An eligible version works offline for up to 14 days after its last license check.
Money-back guarantee. If Premium isn’t for you, email us within 14 days of purchase for a full refund.
Before you buy: setup, data and AI costs
BEFORE YOU BUY
One app purchase. Your choice of AI.
Premium is a one-time purchase for one creator on 1, 3 or 5 Macs, with two years of updates. Paid AI provider usage is a separate cost.
From purchase to your first edit.
Install Premium. The installer is for Apple Silicon Macs running macOS 14 or later.
Activate your Macs. Use the license from your purchase. Keep using your last eligible version after the two-year update window.
Choose your providers. Use your own keys for paid AI services. Local transcription and rendering need no paid AI credits.
Bring your script and takes. Review the storyboard and cut, then prepare the publishing package.
The free edition is a source build with developer-tool requirements. See its setup guide
Technical explainers, product walkthroughs, tutorials, and talking-head videos recorded across several takes. Bring your approved script and recordings, or in Premium just your unscripted footage. Review the assembled cut, then revise it or finish it in DaVinci Resolve or, with Premium, Final Cut Pro. See CoProd for technical explainers and training.
Can CoProd produce a video on its own?
Up to your approvals, yes. On an autonomous project, AI agents plan the story and the edit, and the Producer, whose checks are deterministic code, approves the storyboard and rough cut when they pass, renders the video, and prepares the publishing package. When a check fails, it stops and lists its findings. In Premium, before approving a rough cut, the Producer also has the Director’s vision model screen frames from every scene and fix weak or missing visuals, a billed call with your own key; it never changes your speech, timing, music or B-roll. Your script, and every upload, always need your approval. In Premium you can also start from unscripted footage: CoProd drafts a story from what you said, and the Producer checks it and carries on. Tick Check the story before editing to approve the story yourself.
What can I actually make with the free edition?
A complete video. Start with an idea or your own script, import your recordings, choose a director, review the storyboard, and render a 1080p video with graphics, captions, and mixed audio. Title candidates, descriptions, chapters, tags, two thumbnail variants, and creator-approved YouTube upload are included. Bring your own API keys for paid AI providers.
What do I need to get started?
macOS 14 or later. The free edition is a source build that requires Swift 6+, Node.js 24+, Bun, and FFmpeg. The setup guide walks through the requirements. DaVinci Resolve and Blender are optional. Premium’s installer is for Apple Silicon Macs; local MOSS sound generation has additional hardware requirements.
Can the app upload a video without my approval?
No. You review and approve the upload package and the exact selected thumbnail before uploading. Changing either requires a new approval. Even when the Producer handles editing and rendering automatically, upload approval stays with you. Both editions support packaging and approved upload; Premium additionally enforces private-only uploads and blocks public, unlisted, or scheduled publication.
Is Premium a subscription?
No. Premium is a one-time purchase with two years of updates for one creator on 1, 3 or 5 Macs. One Mac costs US$149, and code Q1MJI2OA brings that down to US$50 for the first 50 buyers; it is US$199 for 3 Macs and US$249 for 5. You can keep using your last eligible version after the update period, with no recurring subscription. Paid AI provider usage is billed separately; local MOSS sound generation has no API charge.
How do I install and activate Premium?
Buy Premium through Lemon Squeezy’s secure checkout. Your receipt provides the signed Mac installer and your license key. Install the app, then paste the key into its activation screen. Premium requires macOS 14 or later on an Apple Silicon Mac. Activate up to the number of Macs your license covers, and deactivate a Mac in Settings to move it to another. Activation and periodic license checks need internet access; an eligible version works offline for up to 14 days after its last successful check.
What if Premium isn’t for me?
Email ilyas@ytaistudio.app within 14 days of your purchase and we’ll refund you in full. Refunds run through Lemon Squeezy, the same secure checkout you bought through. If you’re unsure whether Premium fits your workflow, write to the same address before buying — the free edition already covers a complete video.
More questions 13
Are AI costs included?
The app purchase does not include paid AI credits. Selected cloud providers use your own keys and bill you directly for their tasks, such as writing, transcription, image generation, or AI thumbnails. Local transcription with whisper.cpp and local rendering need no paid AI credits. Premium also offers local MOSS sound generation and automatic tagging with additional hardware/setup requirements. Using a ChatGPT or Claude subscription does not itself provide API credits for the app.
Does everything stay on my Mac?
Your project library and recordings live on your Mac. Local transcription and rendering process media there. Cloud writing and direction send task text such as your idea, script, transcripts, and instructions; cloud transcription sends audio; image-based AI tasks can send selected reference images or a creator cutout, and Premium’s B-roll descriptions and rough-cut screening send still frames from your footage to your vision provider. Premium’s optional This week web check sends your subject names to Exa. Those tasks follow the selected provider’s data policies. License validation, update checks, YouTube sign-in, analytics sync, and approved uploads also use the network. Premium’s local MOSS generation and tagging run offline after setup.
What happens when I upload to YouTube?
After you approve the package, start the upload from the app. Google sign-in grants upload access separately from a read-only analytics connection. The final video, approved metadata, and selected thumbnail are sent to YouTube, and the project records the video link. If YouTube creates the video but a finishing step fails, the app keeps that link and directs you to YouTube Studio instead of uploading a duplicate. Source builds need Google OAuth configured first.
Is CoProd open source?
The free edition’s code is public on GitHub under Elastic License 2.0. We call it source-available because that license includes restrictions, including on offering the app as a hosted service. Premium is a separate, proprietary edition. You can read the free edition’s complete license on GitHub.
Can CoProd suggest what my next video should be about?
Yes, in Premium. The This week tab in Channel searches the last seven days of news, launches and posts in your channel’s subjects, groups them into stories with their sources, and ranks each story by how many different outlets cover it, never by views. Each story comes with a working video title and an angle, and Start production carries its sources into the research behind your script. Turn on the web check in Goals and add your own Exa key; searches leave YouTube out, and a full check costs cents. How This week finds video ideas.
Can I improve my script before recording?
Yes. Premium turns an approved script into a narrated rehearsal, then gives editorial feedback on openings, repetition, example timing, and pacing, with suggestions anchored to the script. Watch the relevant passage in a rendered rehearsal, compare proposed wording, and choose which revision to save. Each saved revision creates a new script version that you must approve before rehearsing again. The configured writing provider reviews text and synthetic reading times; it does not predict audience retention. Cloud feedback uses your API key and is billed separately. Local checks flag exact repetition and timing cues.
Can I finish my video in Final Cut Pro or DaVinci Resolve?
Yes. Once CoProd has assembled the cut, choose Open in editor and pick Final Cut Pro or DaVinci Resolve: Premium exports the complete project and opens it there. Its 1080p timeline links to your original camera files, such as 4K footage, and keeps every element as a separate, editable clip: footage with its cuts and framing, graphics with transparency, B-roll, captions, narration, music, and sound effects. Narration is cut from lossless audio and processed like the CoProd mix, with your untouched recordings included if you prefer your own processing. Music ducking arrives as editable volume keyframes, and the CoProd mix is included as a disabled reference track for comparison. A Finished cut timeline holds the exact CoProd render. DaVinci Resolve Studio opens the export as a new project when external scripting is enabled; the free DaVinci Resolve imports it with File → Import → Timeline. Final Cut Pro opens it through its import window. Graphics and captions are rendered clips, not editable titles. Exporting needs no internet connection or AI provider. After you approve the rough cut, bring back a render of the same length at 1080p and 30 fps; CoProd verifies it before you package and publish.
Can I turn my video into a blog post or newsletter?
Yes, with Premium. Article creation is optional and opens once a final render is saved and the project is marked as published. Upload through Studio or record an existing YouTube upload, then choose a blog post or newsletter, length, language, and editorial direction. Drafts use speech from the finished video; newsletters also include a subject line and preview text. Edit locally, request AI revisions, and keep earlier versions. Copy formatted text or export Markdown, HTML, or plain text with the video link, then publish through your own blog or newsletter platform. Generation and AI revisions use your writing provider; paid usage and any required cloud transcription are billed separately. Review the draft and supplied references before publishing.
Can CoProd turn my finished video into Shorts?
Yes, with Premium. Shorts are optional and open from a finished video in your project. CoProd proposes vertical cuts with their moment ranges, drafts a title, a hook line and hashtags for each, and scores every cut on hook, flow, value and trend alignment. The scores are a sorting hint to help you choose what to review first — they are not a view prediction or a promise of performance. You decide which cuts to keep; export them as video files or upload each one to YouTube yourself through the app, with your approval required every time and Premium uploads going up private-only. Cutting and scoring use your configured AI providers; paid usage is billed separately.
Can retention tell me why viewers left?
Retention shows where viewers skip or stop watching; it does not establish why. Premium lets you open a dip alongside the script passage and rendered scenes from a confirmed linked production, review the recorded creative decisions, and choose one hypothesis, one change, and a comparison plan for the next new project’s writing brief. If the saved render or its timing cannot be matched, the app explains the gap. Compare reporting windows and audience context after publishing; a difference between videos does not prove the cause.
What do I need for local MOSS sound generation?
The Premium edition and an Apple Silicon Mac with at least 32 GB of unified memory. One-time setup needs an internet connection, Git, uv, and about 16 GB of disk space, including the 11.2 GB model download. After setup, MOSS-SoundEffect generates and automatically tags effects locally, without an API key. It supports one-shot effects, not seamless loops. Generation speed varies by Mac and prompt. Only local generation needs that hardware — the rest of the sound library, including imported sounds and ElevenLabs generation with your own key, has no such requirement.
Do I pay to generate the same sound for every video?
No. Premium automatically saves successful generations to the sound library with searchable tags. Browse and play saved effects, import your own sounds, and choose favorites or signature effects for future videos. Reusing the saved audio makes no generation call and incurs no new generation charge. Saved sounds remain playable even if you remove the local model.
Can I show company logos like AWS or OpenAI in my videos?
Yes. Premium includes a visual library with built-in brand marks for popular tech products — AWS, OpenAI, Claude, Cursor, Google Cloud, Docker and dozens more — provided for referential use when you talk about those products on camera. Every mark remains the trademark of its owner. You can also import your own logos and diagrams as SVG, PNG, JPEG or WebP. Choosing a mark for a scene is a one-time pick; previews, renders, and exports reuse it with no AI cost.
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