Frequently Asked Questions

Frequently Asked Questions

Why is my score low?

Most common reasons:

• Not enough metrics in bullets (aim for 80%+)
• Repeating the same power verbs
• Missing technical keywords for your role

Run the optimizer, it'll fix most of this automatically.

Can I use a different LLM model?

Yes. Use --model flag:

python main.py --model llama3:8b

Any Ollama model should work, though some work better than others.

Why only the latest 3 experiences?

Older roles matter less to recruiters and cost AI tokens. You can still include them in your portfolio data, they just won't be optimized.

Is this really free?

Yes. Open source, no plans to change that.

Can I contribute?

Absolutely. Check the contributing guide in the README. We especially need help with templates and keyword profiles for different roles.

My PDF looks weird

Make sure you have LaTeX installed: bash

Ubuntu/Debian

sudo apt-get install texlive-full

macOS

brew install --cask mactex

**Does this work for non-technical roles?**

Currently focused on tech roles (data engineer, SWE, etc). Could work for others but the keywords and scoring are tech-focused.

**Why did the optimizer change my bullet in a weird way?**

It happens. The AI sometimes makes odd choices. You can always manually edit the output LaTeX file before generating the PDF.

**Will this get me a job?**

It'll help you get past ATS and make your resume stronger. Actually landing the job is still on you.

**How do I report a bug?**

Open an issue on GitHub with:
- What you expected
- What actually happened
- Your score and template used

**Where can I see examples?**

Check the discussions. People are starting to share their before/after results.