
Turn each new buyer objection and your real product facts into three channel-ready replies, a diagnosis, proof gaps, one follow-up question, and a claim-by-claim honesty check.

A relationship communication coach for couples and families: paste a message you're about to send (or one that was just said to you), and get a calmer, ready-to-send rewrite, a clear read on the pattern behind it, and guidance for what to say next — in whichever language you write in.

One bad reply can kill a $5k deal — get 10 proven objection handlers before the next message arrives. Power Phrases included. よくある反論を入れるだけで、すぐ送れる返信スクリプト10本を生成。共感→質問→リフレーム→クロージングの4ステップ・3トーン・Power Phrases付録つき。

Turn WhatsApp leads into customers. Analyze sales chats, fix weak replies, handle objections, recover lost leads, and create natural follow-ups that help businesses close more sales.

Turn buyer chats, objections, call transcripts, and CRM notes into stronger replies, deal scores, follow-up plans, coaching notes, and CRM-ready next steps.

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.

SupportReplyToneKit turns any customer inquiry into ready-to-send support replies in three tones (Polite, Concise, Soft). It classifies the inquiry, flags flare-up risk, and adds an internal note and FAQ suggestions. Built for small teams, e-commerce, and SaaS support.

Turn pasted customer-escalation facts into an evidence-linked decision-deck outline. Separate reported impact from unverified causes, expose missing commitments, and give leaders a clear decision and action register.

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。