ThesisPrompt: Multi-Stage Academic Paper Workflow Architect
Users lack the prompt engineering skills to generate high-quality, long-form academic papers using AI, often resulting in generic content that fails institutional standards or AI detectors.
Analysis generated from 4 real complaints across 1 communities · Affects: University students (undergraduate and postgraduate) facing graduation deadlines and academic researchers.
Pain Point
There is a massive, recurring demand for "Universal Instructions" or "Magic Commands" that can generate long-form academic papers. Generic AI usage often results in "hallucinated" citations or text that is easily flagged by AI detectors. Users are literally begging for the specific prompts (as seen in the evidence) because they realize the value is in the instruction, not just the AI access.
Target Users
The primary audience is university students, particularly those in the "graduation season" (Spring/Summer). This is a globally repeatable demographic that renews every year.
Evidence
The source material shows high engagement (comments like "Already liked/followed, please send instructions") on a video demonstrating AI paper writing. This indicates that even when the method is shown, users prefer a structured tool or a deliverable list of prompts over trying to figure it out themselves.
MVP Idea: ThesisPrompt Architect
Instead of a tool that just writes text, build a "Prompt Architect":
- User inputs a topic and 3 keywords.
- The system generates a multi-stage "Workflow Map":
- Prompt 1: The Research Outline.
- Prompt 2: The Literature Review Strategy.
- Prompt 3: The Methodology Framework.
- Prompt 4: The Discussion/Analysis instruction.
- The software provides a clean UI for managing these prompts and tracking the progress of each section.
Why Users Pay
Graduation is a high-stakes event. Students are willing to spend $20-$50 to ensure their paper looks professional, follows a logical structure, and avoids the common pitfalls of "lazy AI writing" that could lead to disciplinary action or failure.
Implementation Difficulty
Low. This can be built as a simple React/Next.js wrapper around an LLM. The core IP is the library of high-quality academic prompts and the logic that connects them. No custom enterprise integrations or complex data pipelines are required.
Revenue Potential
With 100 students paying $20 for a graduation pass, the $2,000/month MRR floor is easily achievable. During peak graduation months (March–June), this could scale to 1,000+ users globally using targeted social media ads and organic student community outreach.
Go-to-Market Strategy
The users are already searching for these "magic commands" on social platforms. By offering a free "Thesis Outline Architect" and gating the "Full Chapter Architect" behind a $20 paywall, the conversion path is clear. Use Bilibili/TikTok to showcase the difference between a "dumb" prompt and a "ThesisPrompt" output.
What people actually said
- Bilibili
“已三连,求指令”
View original in AI 写论文别人过了你没过?保姆级一键生成论文完整实操,万能指令数据网站公开毕业论文急救 → - Bilibili
“以三连,求万能指令”
View original in AI 写论文别人过了你没过?保姆级一键生成论文完整实操,万能指令数据网站公开毕业论文急救 → - Bilibili
“已三连,求指令”
View original in AI 写论文别人过了你没过?保姆级一键生成论文完整实操,万能指令数据网站公开毕业论文急救 →
Existing solutions
- ChatGPT / Claude
- PaperGPT / Academic Writing Bots
- Bilibili/Xiaohongshu Prompt Sellers
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- ScholarFlow: Structured AI Academic Writing Workflow
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