AI Video Editor is a course in directing AI agents such as Codex CLI and Claude Code to run a video-editing pipeline with Hyperframes: removing silences with FFmpeg, transcribing Thai with Whisper, and adding kinetic captions and a brand kit. It suits business owners, content creators and marketing teams, and you leave able to render several aspect ratios from one source.
Producing video content every day is one of the most time-consuming tasks for business owners and marketing teams today. Editing a single clip with click-and-drag tools (CapCut, Premiere Pro) takes 1-3 hours, including cutting silences, adding subtitles, finding B-roll and exporting multiple aspect ratios for each platform. When you must produce a clip a day, it becomes a bottleneck that stalls business growth. This course shifts the mindset from editing by hand to instructing an AI agent to run the pipeline for you, using professional tools that run on the learner's own machine: Codex CLI (OpenAI) for scripting and running the pipeline end-to-end, Claude Code (Anthropic) for tasks that require understanding file structure and deep template customization,
and Hyperframes (HeyGen, Apache 2.0), an open-source video framework that uses HTML/CSS as its source, so you can change captions, motion and brand colors by editing just a few lines of code, with no per-clip cost. A key feature is that learners install and test the entire system on their own machine in class, testing with real footage they bring, so by the end of the day they have a working pipeline ready to use the next day and take home a real, finished first clip. The course is designed so those who have never used an AI agent can learn from scratch, though they should be comfortable with basic command line use. (1 day, 6 hours, small groups of 12 per session.)
What you’ll gain
Understand the AI agent workflow concept and how it differs from click-and-drag editing tools
Install and configure Codex CLI and Claude Code on your own machine
Install Hyperframes with dependencies (Node.js, FFmpeg, Whisper) completely
Understand the 4-stage video editing pipeline, from raw footage to post-ready files
Use FFmpeg to cut silences (silence detection) and sync two-camera footage automatically
Transcribe Thai audio with Whisper and turn it into kinetic captions
Customize captions, motion and brand colors via Hyperframes HTML/CSS templates and build a reusable brand kit
Pull B-roll automatically from the Pexels API and render multiple aspect ratios (9:16, 1:1, 16:9) from one source
Write prompts to make the AI agent do exactly what you want, with iteration techniques to improve results
Plan 30 days of content production and do batch production for real
Who this course is for
Business owners and entrepreneurs who must produce video content regularly
Content creators, YouTubers, TikTokers and online content producers
Marketing and digital marketing teams that must release videos continuously
Video editors who want to speed up production with automation
Software developers and automation engineers interested in media pipelines
Teachers, trainers and learning-media producers who make many videos
Prerequisites
Good general computer skills (installing software, managing files and folders)
Familiarity with basic command line / terminal use (reviewed in class)
Basic understanding of video files, such as aspect ratio, frame rate and file formats
Prior video editing experience helps but is not required
No programming required, as the AI agent writes the code for you
Curriculum
Course Details
A 1-day course, 6 hours (09:30-16:30), delivered as a hands-on workshop where learners set up the system on their own machine. Small groups of 12 per session, beginner-friendly (start from scratch). Learners bring their own notebook and a 5-10 minute sample footage. By the end of the day they take home an AI-agent video editing pipeline, a brand kit, and a real finished first clip in all 3 aspect ratios.
01Block 1 (09:30-10:30): Kickoff and Installing All Tools
Module 1.1 AI Video Pipeline Overview: problems with traditional editing, the AI agent workflow concept (one command, the system runs to completion), comparing Codex CLI/Claude Code with SaaS tools, and the overview from 1 hour of raw footage to a post-ready Reel in 5 minutes
Module 1.2 Installing Base Dependencies: checking machine readiness, installing Node.js, FFmpeg and Whisper for Thai transcription with the right model size, and fixing common install issues
Module 1.3 Installing and Configuring the AI Agent: installing Codex CLI and Claude Code, configuring and securely storing API keys (Anthropic, OpenAI, Pexels) with environment variables, and when to use Codex vs Claude Code
Module 1.4 Installing Hyperframes and First Render Test: Hyperframes project structure, the HTML-as-source-video concept and composition files · Workshop: render a first sample clip to confirm every machine is ready
02Block 2 (10:30-12:00): Pipeline Foundation and First Reel
Module 2.1 Stage 1 Process Footage and Cut Silences: importing footage and organizing folders, syncing two-camera footage by audio, using FFmpeg silencedetect with threshold/duration, and merging sub-clips back into one file losslessly
Module 2.2 Stage 2 Thai Transcription and Captions: running Whisper on Thai audio with a speed/accuracy-balanced model, exporting SRT/JSON with word-level timestamps, fixing common Thai errors, and turning SRT into kinetic captions
Module 2.3 Stage 3 Hyperframes Composition Structure: reading and editing composition files (HTML/CSS), layering video/caption/logo, timing concepts, and instructing Claude Code to read the file structure and edit it for you
Module 2.4 Workshop Cut Your First Reel from Your Own Footage: feeding 5-10 minute footage into the pipeline, running all 4 stages with one command via the AI agent, checking and fixing results, with peer review
03Block 3 (13:00-14:30): Brand Kit and Caption / Motion Design
Module 3.1 Just-Enough HTML/CSS for Video: HTML/CSS structure in composition files, managing colors/fonts/size/spacing, using CSS variables to change the whole clip's theme, embedding Thai fonts, and designing captions to read well on mobile
Module 3.2 Design Your Own Caption Style: popular Reels/TikTok caption styles, setting highlight colors, safe-area text placement, and instructing Claude Code to adjust the template to a reference
Module 3.3 Motion Presets and End Slate: motion-punch concepts and timing to the speech rhythm, CSS animation/transition, a 3-second intro hook, and an end slate with a call to action
Module 3.4 Workshop Build Your Own Brand Kit: defining colors, fonts, logo and motion presets, exporting the brand kit as JSON, versioning with Git, and applying it to the clip cut in the morning
04Block 4 (14:30-16:30): Prompt Engineering, B-Roll, Multi-Ratio Render and Production Plan
Module 4.1 Prompt Engineering for Video Editing: a good prompt structure (context, goal, constraints, output format), ready-made prompt templates, differences between Codex CLI and Claude Code, using AGENTS.md/CLAUDE.md, iteration techniques, and verifying results before use
Module 4.2 Automated B-Roll Workflow with the Pexels API: setting up the Pexels API key, analyzing the transcript to find B-roll insertion points, auto-searching and downloading 3-5 clips per video, editing them in smoothly, and licensing notes
Module 4.3 Render Multiple Aspect Ratios from One Source: the multi-ratio concept 9:16/1:1/16:9, arranging elements for each ratio, setting codec/bitrate and batch rendering · Workshop: render your own clip in all 3 aspect ratios
Module 4.4 Production Plan and Next Steps: planning 30 days of content, batch production (shoot once, cut many), organizing and backing up files, measuring content, and next steps like auto-posting, multilingual subtitles and scaling the team, with a wrap-up and Q&A
Schedule & training options
For individuals — public rounds
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
How do you remove silences from a video automatically with FFmpeg?
Run FFmpeg's silencedetect filter over the audio, setting a threshold for what counts as silence, such as -30dB, and a minimum duration for a silent gap. FFmpeg reports the start and end time of each silence, so you can cut out only the parts with speech as short clips and then join them back into a single file. With an AI agent such as Claude Code or Codex CLI, you can ask it to write a script that handles every step.
Which Whisper model size should you choose for transcribing Thai?
Whisper comes in several sizes, from tiny, base and small to medium and large. Larger models transcribe Thai more accurately but need more time and memory, so choose one that balances your machine's power with the speed you need, and always correct typos, names and technical terms. Output can be exported as SRT or JSON with word-level timestamps, which you can turn into kinetic captions that highlight each word.
How do you produce one video in 9:16, 1:1 and 16:9 formats?
Separate the content from the layout: keep the footage, captions and logo in one composition, then set the frame size and element positions for each aspect ratio, such as 1080x1920 for Reels and TikTok or 1920x1080 for YouTube. Keep the subject inside the safe area for every size, and place captions where app buttons will not cover them. This course practises rendering all three ratios from a single source with Hyperframes.
Who is the AI Video Editor course for, and what should I know beforehand?
It suits business owners who produce video regularly, content creators, digital marketing teams and video editors who want to speed up with automation. You do not need to code, because the AI agent writes the code, but you should be confident with a computer, know basic command-line use (reviewed in class) and understand video basics such as aspect ratio and frame rate.
What will I be able to do after the AI Video Editor course?
You will be able to install Codex CLI, Claude Code and Hyperframes with Node.js, FFmpeg and Whisper on your own machine, run a pipeline that removes silences, turns Thai speech into kinetic captions, applies a brand kit and pulls B-roll from the Pexels API, and render several aspect ratios from one source. You will also prompt AI agents effectively and plan batch production. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
What do I need to bring to the AI Video Editor course?
Bring your own notebook computer, because you will install and configure everything on it, including Node.js, FFmpeg, Whisper, Codex CLI, Claude Code and Hyperframes, and store API keys securely. You should also bring 5 to 10 minutes of sample footage to edit into a real clip during the class.
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