📈 14. Build an AI Portfolio

“Suggest 15 portfolio projects that will impress recruiters for AI Engineer, Machine Learning Engineer, and Generative AI roles. Explain the technologies used, expected outcomes, GitHub structure, and deployment strategy.”

💼 15. Prepare for AI Interviews

“I have an AI interview in days. Create a personalized preparation plan covering theory, coding, ML algorithms, deep learning, LLMs, system design, behavioral questions, and mock interviews.”[X]

📚 16. Read AI Research Papers Faster

“Teach me how to read AI research papers efficiently. Create a framework for understanding abstracts, methodology, experiments, limitations, and practical implementation.”

📉 17. Evaluate AI Models

“Teach me how to evaluate AI and LLM applications using accuracy, precision, recall, F1-score, hallucination detection, latency, cost, and user feedback. Include practical evaluation frameworks.”

🔍 18. Stay Updated With AI

“Create a weekly AI learning system that helps me stay updated with new models, research papers, open-source projects, tools, and industry trends without feeling overwhelmed.”

🚀 19. Simulate an AI Engineer Job

“Act as an AI Engineering Manager and assign me realistic daily tasks such as building prompts, training models, evaluating outputs, debugging pipelines, creating RAG systems, and deploying AI applications. Review my work like a senior engineer.”

🎯 20. Create a 90-Day AI Mastery Plan

“Design a complete 90-day AI mastery plan with daily learning goals, coding practice, projects, research paper reading, portfolio development, mock interviews, and weekly assessments.”

🔥 21. Become My AI Mentor

“Act as a Principal AI Engineer with 20+ years of experience. Mentor me from beginner to advanced by recommending what to learn next, reviewing my projects, improving my code, conducting mock interviews, and helping me become job-ready for AI roles.”

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