Three independent AI reviewers check your blog draft for generic filler, trademark or copyright red flags, and skeptic-bait claims, then cross-examine.
Paste one competitor channel URL and get a benchmark report ending in 10 evidence-backed action items, built from public metadata on the channel's 100 most recent videos. No YouTube API key, no paid SaaS — just free open-source yt-dlp. Covers upload weekday patterns, top-video title hooks, length vs. performance, series structure, and 90-day direction in a 10-section report, with 1-5 channel comparison. Claude Code skill: 2 scripts + report template + 5-step workflow. Owner-only stats excluded.
Give it a blog post or article and it writes a script with a hook and 5 to 8 beats. Two local Python scripts do the rest: edge-tts voices each sentence, then Pillow and ffmpeg combine a Ken Burns background (your image or a gradient), keyword-highlight captions and a progress bar into a 1080x1920 video. In our sample, an 870-character Korean article became a 48.3-second video. No API key needed; with BGM, sidechain ducking is automatic.
都市名を入れるだけで、Threads7投稿シリーズ・Instagramキャプション・YouTube Shorts台本を一括生成。主要7都市の実体験ベースのフック・グルメ・穴場情報入り。
重複判定のロジックと投稿履歴の保存先を貼るだけで、同じものを二度出す条件と、ガードが効きすぎて一度も出なくなる条件の両方を洗い出します。履歴の保持期間が切れて未投稿に戻る、ガードが毎回中止し続けてラインが恒久停止するデッドロック、失敗した投稿が履歴に残って永久にスキップされる、同時実行の競合など9項目を検査します。
I run an AI-focused Medium blog and built this pipeline from real posts I kept rewriting by hand. It does multi-source research with a checkpoint you approve, an outline checkpoint before drafting, a mandatory humanizer pass (kills em-dashes and AI-tell phrasing), a readability/SEO quality check, plagiarism-prep chunking, and a publish-ready export bundle. You control the pace: allow once, allow always, edit, or send it back for a redo at every step.
앞두고 있는 결정을 붙여넣으면, "6개월 뒤 이미 실패했다"고 가정하고 실패 원인을 역설계해 위험 순위·조기경보 신호·사전 가드까지 지도로 만들어줍니다. 결정은 대신 내려주지 않습니다.
Hard verification gates that catch the claims that get published content deleted — before you hit publish. Five gates reject historical over-generalization, causal claims about tides/weather without primary data, sources that don't cover the claimed scope, stale time-sensitive facts, and one-sided reassurance. Born from real post-publication deletions on a daily knowledge channel. Works on scripts, articles, newsletters, and social posts.