Automated CV + cover pipeline with AI and LaTeX
Workflow to adapt CV/cover per job offer, compile outputs, and validate one-page formatting.
Step 01
Problem
Manual high-quality application customization is time-intensive when repeated per opportunity.
Step 02
Context and constraints
Internal productivity tool designed for repeatable quality and faster iteration.
Role: Author of full pipeline logic, prompting strategy, formatting control, and final packaging.
Step 03
Key decisions
- Sequential process from offer ingestion to AI adaptation, LaTeX render, fit validation, and merge.
- Content density controls to keep CV/cover usable and properly balanced.
- Bilingual templates and optional web mode for mobile-friendly execution.
Step 04
Outcomes
- Reduced repetitive effort in preparing tailored application packages.
- Consistent final output in a 3-page merged format.
- Faster iteration between offer analysis and final submission package.
Metrics
- Defined 7-step pipeline from job input to final PDF output.
- Final merged output standardized to 3 pages.
- Automatic one-page fit validation for both CV and cover before finalization.
Step 05
Learnings and next improvement
Learnings
- Useful automation depends on structure and quality constraints, not only speed.
- In professional documentation, formatting reliability is as important as generated text.
Step 06
Visual resources
Stock visuals are active to keep layouts stable. You can replace them later from `src/lib/site.ts` or per-project content.
