This guide outline a practical approach to using AI tools to improve resumes while maintaining accuracy and authenticity. It is based on our experimentation with tools such as ChatGPT, Gemini, and Copilot, as well as insights from our inquiry process.
While AI can improve clarity and structure, it should be used carefully to avoid over-optimization or misrepresentation of experience.
Step 1: Start with Your Own Resume
Before using AI, create your own resume using your actual experience. Include:
- Your responsibilities
- Tools and technologies used
- Specific tasks you performed
AI works best when it improves existing content, rather than generating everything from scratch.
Step 2: Use a Strong Base Prompt
Use a clear and controlled prompt. Example:
Improve my resume for a [job title/role/industry]. Focus on clarity, impact, and ATS-friendly language. Do not exaggerate or invent experience.
This helps ensure your experience stays accurate and wording is improved without being distorted.
Step 3: Compare Multiple AI Tools
Different tools produce different results. From our testing:
- ChatGPT produces clearer and more readable outputs
- Gemini produces more technical and strategic outputs
- Copilot produces balanced but slightly structured outputs
Comparing outputs help identify what sounds natural and what sounds overly polished.
Step 4: Review for Accuracy and Authenticity
After generating a new version, check:
- Does this reflect what I actually did?
- Is anything exaggerated?
- Does it still sound like me?
While AI tools can improve clarity and structure, they may also produce more standardized or less personalized language, with research on AI writing suggesting that this can reduce the individuality of the content if not reviewed carefully (Lingard, 2023).
From our own testing, we found that stronger or more technical wording can sometimes move away from authenticity, even if it sounds more impressive.
Step 5: Tailor Your Resume
Use a second prompt to tailor your resume to specific roles.
Tailor this resume for a [specific job title or role]. Emphasize relevant skills while keeping it realistic and aligned with my experience.
This improves relevance to job descriptions and alignment with the role.
Step 6: Avoid Over-Optimization
One of the biggest risks of using AI is over-optimization. Avoid excessive buzzwords, overly complex phrasing, and exaggerating responsibilities.
Many resumes are evaluated using automated systems that analyze keywords and structure; with research showing that modern resume parsing systems, including those using LLMs, rely on extracting and interpreting structured information from resumes (Manish et al., 2024).
Because of this, it can be tempting to optimize heavily for keywords. However, over-optimization can make a resume feel less natural and less authentic.
From both of our experiments and industry insights, resumes that are clear and accurate tend to be more effective than those that are overly optimized.
Step 7: Focus on What Actually Matters (maybe include/remove)
Through our inquiry and discussion with an industry professional, we found that:
- many candidates have similar technical skills
- employers value fit, interest, and character
- authenticity is more important than perfect wording
Example Prompts
Below are prompts we refined through experimentation:
Base improvement
Improve my resume for a [specific job title or role]. Focus on clarity, impact, and ATS-friendly language. Do not exaggerate or invent experience.
Tailoring
Tailor this resume for a [specific job title or role]. Emphasize relevant skills while keeping it realistic and aligned with my experience.
Bullet Point Improvement
Rewrite these bullet points to be clearer and more impactful while keeping them accurate and not adding new information.
Connection to Our Inquiry
This guide is based on our full inquiry process, where we tested multiple AI tools and evaluated their outputs.
For a deeper look at our experiments and reflections:
- Aiden’s Inquiry Post on Comparing Technical Experiences to Improve a Resume
- Anthony’s Inquiry Post on Testing AI Tools for Resume Improvement
These posts include detailed comparisons, observations, and insights that informed this guide.
To see how different AI tools produce different results, view our Tool Comparison page.
References
Lingard, L. (2023). Writing with ChatGPT: An illustration of its capacity, limitations & implications for academic writers.
Manish, V., Manchala, Y., Vijayalata, Y., Chopra, S. B., & Reddy, K. Y. (2024). Optimizing resume parsing processes by leveraging large language models. IEEE Region 10 Symposium.