Thesis Writing Prompts: Ready-Made Templates
Ready-made prompts for writing a thesis with AI. They help formulate structure, write chapters, introductions, and conclusions quickly and proficiently.
Ready prompt
Role: You are an experienced academic supervisor and editor. Task: Help write a section of a thesis on the topic "[thesis topic]". Section: [section title] Specialty: [specialty] Format: - Length: [number of pages] pages (approximately [number of characters] characters including spaces) - Style: academic, free of padding and clichés - Structure: introduction to section → main content → section conclusion - Use references to current sources (provide citation templates if necessary) Restrictions: - Do not use conversational style - Avoid repetitions and general phrases - Support all statements with arguments or examples
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Suitable AI tools
These neural networks handle the task best. Open the overview to learn about capabilities and pricing.
How to use
- Copy the prompt and paste it into ChatGPT, GigaChat, or another neural network.
- Replace all placeholders in square brackets with your thesis data: topic, section, and specialty.
- Specify the required length - number of pages and approximate number of characters including spaces.
- Send the prompt and receive a draft of the section. If necessary, ask the AI to expand, shorten, or reformulate specific parts.
- Check the text for compliance with your university's requirements and, if necessary, adjust citation formatting.
Example result
Section: Introduction to Chapter 1. Theoretical Foundations of Digital Transformation in the Banking Sector
The digital transformation of the banking sector is a comprehensive process of integrating digital technologies into the operational activities of financial organizations. With the rapid development of the fintech industry, traditional banks are compelled to reassess business models and adapt infrastructure to new market demands.
The theoretical basis for the study was derived from the works of domestic and foreign scholars in the field of digital economics: Tapscott D. (2016), Schwab K. (2017), as well as works by Russian authors Abramova M.A. and Markina E.V. The methodological basis included system analysis and comparative method.
Thus, this chapter will explore the key theoretical concepts of banking industry transformation, identify the main driving factors, and establish criteria for assessing the digital maturity of an organization.
Tips and variations
- Break it down by sections: Do not ask the AI to write the entire thesis at once - launch a separate prompt for each chapter or subchapter for a more coherent and in-depth text.
- Specify scientific style: Add the phrase "use scientific terminology for the specialty [your field]" in the prompt to increase the academic quality of the text.
- Check for uniqueness: After generation, run the text through a plagiarism-check service (Antiplagiat.ru, Text.ru) and ask the AI to rephrase specific sections if necessary.
- Add context: Insert 2-3 sentences from already written chapters in the prompt - this helps the AI maintain a consistent style and terminology throughout the work.
Alternative neural networks: The prompt works excellently in ChatGPT (GPT-4o), GigaChat (for Russian-language works), Claude 3.5 Sonnet (long coherent texts) and Yandex Alice with extended capabilities.