
面向中英文长文的证据约束写作与润色工作流:支持单稿直接润色、深度重构,以及基于前后文稿和检测报告的对比学习;优先保护事实、引语、引用、结论和作者声音,不承诺检测分数。

审稿人总说您的英文"不够自然",却从不告诉您具体该改什么。本工具专门帮您识别那些在编辑和审稿人面前暴露非母语写作痕迹的系统性模式,如:冠词误用、连接词过度、中式英语、时态不一致。针对每种模式,您将看到一句话的"原稿 vs 更自然的英语学术表达"直观对照,并获得可举一反三的修改规则。每次分析最多提供5个核心模式。如果您的文章已经足够自然,本工具不会勉强指出不存在的问题。

Attention only helps when people quickly grasp the value, trust the claim, and know what to do next. Give a short brief — what you sell, who it's for, the page goal — and get back shippable web copy: 2–3 headline options, a benefit-led body, objection handling, and a clear CTA, ordered so each section earns the scroll. Plain and specific, not hype, and it never invents a fact, price, or testimonial — missing proof is flagged. For landing pages, product pages, and ads.

Takes any piece of writing — an email, a Slack message, a report, a doc, a cover letter — and tightens it up: cuts filler, kills unnecessary hedging ("I just think," "sort of," "kind of"), removes throat-clearing openers, swaps vague words for concrete ones, varies sentence rhythm, and nudges passive voice to active where it's just habit rather than a deliberate choice.

Article Writing from affaan-m’s ECC project. Use it to write polished blog posts, guides, tutorials, essays, newsletters, and other long-form content from notes, research, transcripts, or brand guidance. It helps shape structure, match a distinctive voice, strengthen pacing and evidence, and remove generic AI-style writing while keeping claims grounded and credible.

Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.

Use when your Japanese draft still reads AI-written. For bloggers, PR teams, marketers, and students: paste the text and get a human-sounding rewrite, plus a diff of every AI tell removed. It replaces vague AI phrasing — 浮き彫りになった, 多面的な, 〜ではないでしょうか, 今後の展開が期待される — with concrete facts and one clear voice. Facts are never invented or changed, only the wording. Output = the rewritten full text + a change log of what was fixed.

Use when your academic or research writing reads AI-generated. For students, researchers, and writers: paste your draft, get a version that reads like a careful human author — inflated symbolism, promotional language, em-dash overuse, rule-of-three, vague attributions, and AI vocabulary stripped out — argument and citations intact. Based on Wikipedia's 'Signs of AI writing'. Output = rewrite + a list of every AI tell fixed.
