Role Goal
Start by giving AI the target role and job context.
Raw Input
Feed real experience, projects, and results instead of vague prompts.
Human Editing
Refine the output in your own voice and remove anything inaccurate.
ATS Check
Review headings, keywords, and layout before the final export.
Safer AI brief example
Target role: CRM Specialist
Experience: 3 years in customer operations, reporting, Excel
Strong result: reduced response time by 30%
Request: 4-line ATS-friendly summary and 3 experience bullets
What AI speeds up
- First-draft professional summaries
- Sharper experience bullet wording
- Role-based phrasing adjustments
- Faster content variations for multiple applications
Common mistakes
- Adding experience that never happened
- Using the same AI draft for every role
- Relying on generic buzzwords without proof
- Skipping the final ATS and proofreading pass
Better approach
- Use AI as an assistant editor, not the final decision-maker
- Combine short briefs with real data and manual review
- Add role-relevant keywords intentionally
- Check the final output as a real application document
ATS Friendly CV
Validate AI-generated wording against ATS-safe structure and keyword logic.
CV Summary Examples
Use ready summary patterns for the shortest and most important AI-assisted section.
CV Guide
Place the AI-supported content into the right document order and structure.
Create a CV in Word
If AI-generated text will be moved into Word, review the formatting risks first.
Build your AI-supported CV now
Enter the target role and your real experience in app.cvmaker.tr, then turn it into a faster, cleaner, ATS-aware CV flow.