3 quotes from 3 episodes on How I AI, each with a timestamped link to the source.
3 quotes3 episodes
The short version
Claire Vo stated AI coding agents execute tasks instantly without human complaints. One automated script generated a polished short-form video with jump cuts in 4 seconds.
Most interesting insights
AI systems automate privacy tasks by identifying and blurring specific addresses in video frames.
“…it even added blurs to these addresses here. Real smart.”
Terminal scripts process media files immediately without cloud uploads. One system produced a clipped video with captions and zoom effects in 4 seconds.
“…approximately 4 seconds later there was a really well-clipped vertical short-form video with captions, with jump cuts, with a little zoom when you made a funny face.”
Brooke Lacey replaced conventional video editors like CapCut and Adobe Premiere with a terminal-driven script running Claude Code, FFmpeg, and Whisper.
The pipeline processes raw video files locally on a Mac in roughly 15 seconds without uploading gigabytes of footage to third-party cloud servers.
AI can now interpret high-level intent like "find the best takes" and "UGC style video" to autonomously assemble polished content, moving beyond simple cut instructions.
OpenAI's Codex demonstrates advanced, granular tasks like automatic redaction and blurring of sensitive data, even tracking moving elements and checking its own work for accuracy.
Notion’s internal “Boxy” system integrates an AI agent called Codeex to automate code generation and bug fixes directly from Notion tasks.
Engineers describe a task with natural language and a screenshot, @mention Codeex, and the AI produces a complete pull request with UI verification and a preview URL.
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