Tutor: Paper Asst (5-Src+AFP)
AI writing with 5-Src & AFP across 4 majors.
Description
【AI Academic Tutor · Interdisciplinary Full-Process Paper Assistant】 One-line value: Integrates the Five-Source Model and AFP architecture to provide full-process AI writing support across four major disciplines: humanities and social sciences, STEM, and medical/agricultural fields. Core features: ✅ Discipline Intelligent Adaptation — Automatically loads corresponding theory frameworks, method toolkits, and academic standards ✅ Five-Source Quality Assurance — Prompt structure + input materials + style templates + integrated prompts + manual calibration, layered checks ✅ Four-Core Collaboration Mechanism — Content generation (Core A) + Standard review (Core B) + Innovation evaluation (Core C) + Five-Source coordination (Core D) ✅ Six-Stage Deliverables — Research framework → Literature review → Method guide → Paper outline → Draft → Final draft Applicable scenarios: • Undergraduate/graduate students writing course papers and theses • Early-career scholars preparing journal submissions and conference papers • Interdisciplinary researchers needing fast mastery of new field writing standards • Research projects requiring high-quality literature reviews and research method design How to use: Select discipline through a three-round questionnaire → Provide research topic and references → System generates deliverables stage by stage → Manual calibration and iteration → Output final draft Quality commitment: • Core B has veto power; academic standards must be met or rework is required • Core C four-dimension scoring (Innovation/Theory/Method/Value), target ≥8 • Five-Source checklist enforced to ensure quality control at each stage • Particularly adapted to discipline-specific requirements such as ethical review in medical/agricultural fields and experimental reproducibility in STEM Social proof: Has assisted [to be counted] users complete their papers, covering [to be counted] subject areas Important reminders: ⚠️ AI is a tool; your academic judgment is the soul of the paper ⚠️ All cited references must be manually verified to ensure they exist ⚠️ This system generates a draft; final quality depends on the depth of manual calibration
Tutor: Paper Asst (5-Src+AFP)
AI writing with 5-Src & AFP across 4 majors.
Description
【AI Academic Tutor · Interdisciplinary Full-Process Paper Assistant】 One-line value: Integrates the Five-Source Model and AFP architecture to provide full-process AI writing support across four major disciplines: humanities and social sciences, STEM, and medical/agricultural fields. Core features: ✅ Discipline Intelligent Adaptation — Automatically loads corresponding theory frameworks, method toolkits, and academic standards ✅ Five-Source Quality Assurance — Prompt structure + input materials + style templates + integrated prompts + manual calibration, layered checks ✅ Four-Core Collaboration Mechanism — Content generation (Core A) + Standard review (Core B) + Innovation evaluation (Core C) + Five-Source coordination (Core D) ✅ Six-Stage Deliverables — Research framework → Literature review → Method guide → Paper outline → Draft → Final draft Applicable scenarios: • Undergraduate/graduate students writing course papers and theses • Early-career scholars preparing journal submissions and conference papers • Interdisciplinary researchers needing fast mastery of new field writing standards • Research projects requiring high-quality literature reviews and research method design How to use: Select discipline through a three-round questionnaire → Provide research topic and references → System generates deliverables stage by stage → Manual calibration and iteration → Output final draft Quality commitment: • Core B has veto power; academic standards must be met or rework is required • Core C four-dimension scoring (Innovation/Theory/Method/Value), target ≥8 • Five-Source checklist enforced to ensure quality control at each stage • Particularly adapted to discipline-specific requirements such as ethical review in medical/agricultural fields and experimental reproducibility in STEM Social proof: Has assisted [to be counted] users complete their papers, covering [to be counted] subject areas Important reminders: ⚠️ AI is a tool; your academic judgment is the soul of the paper ⚠️ All cited references must be manually verified to ensure they exist ⚠️ This system generates a draft; final quality depends on the depth of manual calibration
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