Spolehni se | Pavel Juráš

The project addresses students' career uncertainty in the AI era, which negatively affects their motivation to fulfill their study obligations. It is based on the observation that many students have doubts about the applicability of their knowledge in the labor market and are unable to imagine what competencies are uniquely human and resistant to replacement by AI.

The "Spolehni se" platform provides a three-pillar solution based on Naval Ravikant's philosophy of unique career positioning. It combines competency DNA diagnostics through express tests, an AI-driven generator of unique career combinations, and a micro-validation ecosystem for verifying these combinations in practice. The goal is to help users find intersectional combinations of skills that maximize their unique strengths and have high market potential.

The project includes a wireframe interactive platform that guides users through the process from self-reflection to experimentation to validation of unique career positions. It includes AI simulators of work scenarios and a gamified skill dojo with badges for proven competencies.

Ethics: The project emphasizes fairness and diversity in recommendations, transparency of algorithmic decisions, and support for user autonomy. The main risks include AI bias in recommendations, overestimation of certain competencies, and the possibility of demotivation due to inappropriate recommendations. Proposed measures include a diversity-aware filter, regular human review of outputs, and mechanisms for user feedback.

AI TOOLS USED IN THE PROJECT

1. ChatGPT – brainstorming, generating unique skill combinations, iterative questions for hypothesis testing
2. Perplexity AI/Pro – deep research, trend analysis, extracting insights from meta-studies, creating visual presentations
3. Perplexity Pro Lab – creating visual presentations and user interface prototypes
4. AI tools for wireframes – design of wireframes, visual identities, and user journey storyboards
5. Custom-designed AI algorithms – dynamic intersection generator of career combinations with AI risk and market potential calculations
6. AI job scenario simulator – testing competencies through realistic work situations

LINKS TO OUTCOMES

• Interactive wireframe platforms
• Visualization of career uncertainty
• Logo and visual identity of the project
• Process of transforming career uncertainty (schematic visualization)
• Scientific references and citations (32 links to academic sources)
• Conceptual visualization of the intersectional approach
• Implementation roadmap