Drop any Amazon review and get 3 strategically different reply versions — Apology-First, Solution-First, and Stand-Firm — each checked against Seller Central TOS, customer psychology, and how future buyers will read your response. Includes TOS compliance flags, buyer diagnosis, and a Public Perception Score predicting brand impact. 5 minutes of clarity for FBA sellers, VAs, and reputation managers staring at a 1-star review.
Paste your draft Etsy listing; three reviewer lenses audit title, tags, trust and conversion and return a prioritized fix list.
Three AI reviewer lenses check your blog draft for generic filler, obvious trademark or copyright red flags, and claims a skeptical reader would doubt, then cross-examine each other. Not legal advice.
Reviewer passes whose rejections must carry a fix, revise until clean, hard stop after 5 rounds.
Three AI reviewer lenses audit your grant narrative for reviewer fatigue, eligibility gaps, and weak impact proof, then cross-examine each other. No funding outcome guaranteed.
店舗・サービス業の「口コミ返信が後回しになる」「変な返信で炎上が怖い」という課題を、返信文の型に落とし込みました。事実確認が取れていない事項（過失の有無など）は勝手に認めたり否定したりせず［確認中］として中立化し、過失を断定する表現を避けます。ネガティブ・ポジティブ双方のトーンを用意し、投稿前の自己点検（過失断定・誇大謝罪・個人情報露出のチェック）を組み込んでいます。個人情報は扱いません。
言いにくい用件のメールを、相手に合わせた硬さで書ける定型文36通です。 二重敬語や差し込み漏れを調べる Python のチェックも付いています。
Works on English text only. Checks an email draft saved as a text file (--email): riskiest sentence and why, a rewrite idea, and a Send, Revise or Hold call.