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AI rate reduction diagnostic rewriting
A smart assistant for reducing AIGC rates in academic papers. Is your paper's AI rate at 80%? Tired of endless revisions and still getting flagged? We won't haphazardly fix it for you—we'll diagnose first, then pinpoint the problem, and then revise it step by step. A three-dimensional system diagnosis (confusion, suddenness, structural regularity) scans and marks the AI fingerprint location dimension by dimension. Ten fingerprints are accurately categorized, thirteen sentence reconstruction techniques are used, and a blacklist of twenty high-frequency AI sentences is broken down one by one. Risk maps are provided for each chapter, with different chapters treated differently. One-step or step-by-step diagnosis is available, allowing beginners to revise dimension by dimension or experts to revise simultaneously. Supports pasting or uploading files of any length and style. A complete diagnostic and rewriting report is automatically saved. It's not about fooling detectors—it's about making your paper read like it was written by a real researcher with opinions, judgment, and style.
WriteAI Scientific Mapping Consultant
An AI-powered chart generation consultant specifically designed for academic researchers. Input your research topic or a paragraph from your paper, and it will automatically analyze core variables and logical relationships, accurately matching them from 7+1 types of academic charts (content framework diagrams, technology roadmaps, research idea diagrams, theoretical framework diagrams, analytical framework diagrams, research conclusion diagrams, and grounded theoretical model diagrams). It will then recommend the best solution from 10 structural layouts (linear flow, closed-loop cycle, central radiation, matrix quadrant, etc.), ultimately outputting three levels of complete prompts: standard balance, emphasis on logic, and visual conciseness. Built-in "theory vs. technique" and "borrowing vs. creation" dual correction—you'll never confuse a technology roadmap with a research idea diagram again.
LearnThree-element analysis: Understanding the paper
Using the three-element decomposition method of identifying key elements, understanding the small loop, and mastering the large loop, this tool automatically or interactively dissects the argumentation framework of any paper. It includes 14 built-in AI Prompt templates, suitable for all academic readers.
LearnLiterature search on the method of peeling onions upside down
Enter a topic phrase, and it automatically breaks down the topic structure using the "onion peeling method" → expands synonyms → generates four-layer search queries (CNKI + WoS/Google Scholar), and provides an execution list and filtering strategy. Applicable to all disciplines, the search queries can be directly pasted and used. 🎯 What pain points does it solve? ❌ Directly entering a whole sentence into the search box → 0 results ❌ Searching for only one keyword → 5000 results with no idea where to start ❌ Not knowing how to break down a topic → No direction in search terms ✅ Enter "Middle-class educational anxiety and shadow education practices" → Output 30+ directly pasteable search queries + a thesaurus + a layered execution list 📐 Core method: The onion peeling method expands from the inside out, from narrow to wide, in three progressively deeper layers—the core layer precisely identifies 4 essential reading articles, the expansion layer finds 48 directly related studies, and the panoramic layer establishes a comprehensive understanding of the field's scope. 🔧 Output includes: • Breakdown of the three elements of topic selection (qualifiers + research unit + research dimension) • 5-8 related concepts for each element + Chinese-English comparison + superordinate/subordinate concepts • First layer: 8 sets of three-element combination search formulas (title → topic, tight → loose) • Second layer: 3 types of two-element pairings (marking core/background uses) • Third layer: Single-element panoramic search formula • Fourth layer: Superordinate concept expansion strategy • 📋 Six-step execution checklist + screening criteria for each layer (highly cited + cutting-edge) 👥 Who is it suitable for? Academic novices, graduate students, young scholars—anyone who needs to systematically conduct literature searches rather than searching keywords based on intuition.
WriteJournal Article Writing Engine
Enter your research direction in a single sentence, and the AFP step-by-step engine will guide you through the entire process. P1 Topic Design—Davis's interesting theory + Problematization five-level topic selection method, extracting real problems from phenomena. P2 Introduction Writing—Five-color template analysis method, breaking down top-journal model articles paragraph by paragraph: emotional mobilization → knowledge gap → literature positioning → research space → value declaration, with embedded complete deconstruction prompts. P3 Literature Review—Structured organization, distinguishing research context and dialogue objects. P4 Theoretical Framework—6 sets of theoretical integration templates are embedded throughout the text (complementary, comparative, bridging, hierarchical, evolutionary, universal), each set containing six paragraphs: introduction → reasons → analysis → premise → interpretation → conclusion; plus five layers of in-depth sentence structure for developing a single theory in depth. P5 Research Methodology—Automatic adaptation strategy based on four paths: empirical quantitative/qualitative/speculative/hybrid. P6 Main Body Writing—9-3-1 pyramid structure. P7 Conclusion Writing—Three-level processing of conclusions (discovery → dialogue → extension). P8 Submission Preparation—8 Methods to Reduce AI Rate. P9 Global Assembly—Independent documents from each stage are compiled into a complete draft, supporting cross-chapter bidirectional backfilling and iterative iteration at any time. 🎯 Suitable for: Master's and doctoral students and young scholars who need to submit to C-level journals/core/SSCI journals, especially researchers stuck on theoretical frameworks and preface writing. ⚙️ Underlying Architecture: Five-Source Model × AFP Step-by-Step Human-Machine Relay Protocol, Heartbeat Signal + Forced Stop Point + Dual-Core Audit.
[Limited-Time Flash Sale] Self-Introduction Story Generator (99 points)
🔥 Limited-time flash sale price: 99 points! Original price 299 points – now you can submit your resume again! Use stories to make others remember you! ✅ Generate 5 versions at once: Full version (3-5 minutes) + Elevator version (30 seconds) + WeChat introduction + practice prompt cards ✅ Done in 3 minutes: Answer 3 questions, automatically match story templates, and generate a memorable self-introduction ✅ Professional methodology: Based on narrative psychology, three story templates + four persuasive engines. Suitable for: job interviews, job change presentations, startup roadshows, business networking, industry summits, dating and matchmaking ⚡ Limited flash sale, first come, first served!
[Self-Introduction] Use a story to make the other person remember you (can be done in 3 minutes)
Stop presenting your resume—use stories to make people remember you! ✅ Generate 5 versions at once: Full version (3-5 minutes) + Elevator slide (30 seconds) + WeChat bio + practice cue cards ✅ Done in 3 minutes: Answer 3 questions, automatically match story templates, and generate a memorable self-introduction ✅ Professional methodology: Based on narrative psychology, three story templates + four persuasive engines. Suitable for: job interviews, job change presentations, startup pitches, business networking, industry summits, dating and matchmaking.
SlidesCourseware converted into high-quality videos
Upload courseware documents, automatically extract key points, and generate narrated video explanations, suitable for review and quick learning.