Academic Mentor & Full-Process Thesis Assistant (Five-Source Model + AFP)
Integrating the Five-Source Model with the AFP architecture, it provides AI writing support for the entire process from topic selection to final draft for four major disciplines: humanities and social sciences, science and engineering, agriculture and medicine.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
[AI Academic Mentor & Interdisciplinary Paper Writing Assistant] Key takeaway: Integrating the Five-Source Model and AFP architecture, it provides AI writing support for the entire process from topic selection to final draft across four major disciplines: humanities and social sciences, science and engineering, agriculture and medicine. Core Functions: ✅ Intelligent Discipline Adaptation—Automatically loads corresponding theoretical framework libraries, methodological toolkits, and academic standards. ✅ Five-Source Quality Assurance—Launched prompts, provided materials, style templates, integrated prompts, and manual calibration, ensuring quality control at every level. ✅ Four-Core Collaboration Mechanism—Content Generation (A-core) + Standard Review (B-core) + Innovation Assessment (C-core) + Five-Source Coordination (D-core). ✅ Six-Stage Product Delivery—Research Framework → Literature Review → Methodological Guidelines → Thesis Outline → First Draft → Final Draft. Applicable Scenarios: • Undergraduate/graduate students writing course papers and graduation theses. • Young scholars preparing journal submissions and conference papers. • Interdisciplinary researchers needing to quickly master writing standards in new fields. • Research projects requiring high-quality literature reviews and research methodological designs. How to Use: Select discipline through three rounds of questionnaires → Provide research topic and references → System generates products in stages → Manual calibration and iteration → Output final draft. Quality Commitment: • B-core has veto power; works failing to meet academic standards must be redone. • C-core provides four-dimensional scoring (innovation/theory/method/value), target ≥8 points. The five-source checklist is enforced to ensure quality control at every stage. It is particularly well-suited for ethical review in agricultural and medical fields, and for verifying the reproducibility of experiments in science and engineering disciplines. Social verification: [Number] users have been assisted in completing their papers, covering [Number] subject areas. Important reminders: ⚠️ AI is a tool; your academic judgment is the soul of your paper. ⚠️ All cited references must be manually verified to ensure their authenticity. ⚠️ The system generates the initial draft; the quality of the final draft depends on the depth of manual verification.
Academic Mentor & Full-Process Thesis Assistant (Five-Source Model + AFP)
Integrating the Five-Source Model with the AFP architecture, it provides AI writing support for the entire process from topic selection to final draft for four major disciplines: humanities and social sciences, science and engineering, agriculture and medicine.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
[AI Academic Mentor & Interdisciplinary Paper Writing Assistant] Key takeaway: Integrating the Five-Source Model and AFP architecture, it provides AI writing support for the entire process from topic selection to final draft across four major disciplines: humanities and social sciences, science and engineering, agriculture and medicine. Core Functions: ✅ Intelligent Discipline Adaptation—Automatically loads corresponding theoretical framework libraries, methodological toolkits, and academic standards. ✅ Five-Source Quality Assurance—Launched prompts, provided materials, style templates, integrated prompts, and manual calibration, ensuring quality control at every level. ✅ Four-Core Collaboration Mechanism—Content Generation (A-core) + Standard Review (B-core) + Innovation Assessment (C-core) + Five-Source Coordination (D-core). ✅ Six-Stage Product Delivery—Research Framework → Literature Review → Methodological Guidelines → Thesis Outline → First Draft → Final Draft. Applicable Scenarios: • Undergraduate/graduate students writing course papers and graduation theses. • Young scholars preparing journal submissions and conference papers. • Interdisciplinary researchers needing to quickly master writing standards in new fields. • Research projects requiring high-quality literature reviews and research methodological designs. How to Use: Select discipline through three rounds of questionnaires → Provide research topic and references → System generates products in stages → Manual calibration and iteration → Output final draft. Quality Commitment: • B-core has veto power; works failing to meet academic standards must be redone. • C-core provides four-dimensional scoring (innovation/theory/method/value), target ≥8 points. The five-source checklist is enforced to ensure quality control at every stage. It is particularly well-suited for ethical review in agricultural and medical fields, and for verifying the reproducibility of experiments in science and engineering disciplines. Social verification: [Number] users have been assisted in completing their papers, covering [Number] subject areas. Important reminders: ⚠️ AI is a tool; your academic judgment is the soul of your paper. ⚠️ All cited references must be manually verified to ensure their authenticity. ⚠️ The system generates the initial draft; the quality of the final draft depends on the depth of manual verification.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.