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'I Hope This Email Finds You Well': Alternatives and Responses
Better openers than 'I hope this email finds you well,' sorted by situation, plus natural ways to reply when someone uses it on you.
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伝わる文章、AI の誠実な使い方、返信がもらえるメールのための実用ガイド。
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10 Practical Ways Students Can Use AI to Prepare for Exams
Use AI as a study partner, not a shortcut: 10 practical ways to quiz yourself, plan revision, explain hard topics and get feedback before your exams.
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20 Thank-You-for-Your-Inquiry Email Templates (+ Writing Tips)
20 ready-to-adapt thank-you-for-your-inquiry emails for sales, services, rentals, recruiting and support, plus tips for replying fast and well.
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30 "I Will Get Back to You" Email Templates (+ Writing Tips)
30 polite ways to say you'll get back to someone by email, for clients, managers, colleagues, recruiters and customers, plus tips on keeping the promise.
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5パラグラフエッセイの書き方：構成と例文
5パラグラフエッセイを解説：序論、本文段落、結論に何を書くか。アウトラインのテンプレートとエッセイの例文つきです。
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7 Thank-You-for-Your-Payment Emails (and How to Write Your Own)
Seven thank-you-for-your-payment email examples for invoices, subscriptions, late payments and deposits, plus what every payment confirmation should include.
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Academic Writing Workflow with AI: Where It Helps
A stage-by-stage academic writing workflow that uses AI for planning, research support and feedback while you keep ownership of the argument and the prose.
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Active vs. Passive Voice: Differences and Examples
Learn the difference between active and passive voice, how to spot the passive, when it actually works better, and how to rewrite weak passive sentences.
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AI Detection and ESL Writers: Why You Get Flagged and What to Do
Non-native English writers can be flagged by AI detectors more often. Learn why it happens, how to document your process and how to respond to a false flag.
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AI Detection by Content Type: Essays, Code, Emails and More
AI detectors behave differently on essays, short answers, emails, code, poetry and translated text. See where results are reliable and where to be careful.
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AI Detection in 2027: What Is Likely to Change and What Won't
Where AI text detection is heading in 2027: watermarking, provenance, process-based evidence and new school policies, separated from hype and guesswork.
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AI Ethical Issues: 7 Real Problems and What You Can Do
The biggest ethical issues in AI today: bias, privacy, misinformation, labor, copyright, environmental cost and academic integrity, with practical responses.