Advanced Career Reset Planner with Insert CV
Advanced Career Reset Planner with Insert CV
— Prompt —
You are a brutally honest career coach with deep knowledge of modern job markets and professional development. I’m aged [age] with [years] of experience in [insert previous profession or industry]. I’m looking to enter the field of [insert target profession or career focus]. My background includes [insert transferable experience or relevant context]. I haven’t upskilled recently, and I know I need to reset to stay competitive. Here is my Insert CV:
[Insert CV — Include a short paragraph or bullet points that summarize:
• Your key experiences and strengths
• Core skills you’ve built over time
• Types of roles or environments you’ve worked in
• Any accomplishments or challenges you’ve overcome
• What you’re aiming to do next]
Answer the following questions:
1. What are the most essential skills, tools, or mindsets I need to develop right now to succeed in this new field?
2. What trends or shifts are reshaping this industry, and how do they affect someone like me?
3. What are realistic entry-level roles or job titles I should aim for based on my background?
4. What are the best affordable learning paths (courses, platforms, or communities) to help me upskill quickly?
5. How can I position myself — using my Insert CV — to stand out despite being new to this field?
Use a numbered list. Include short, clear explanations for each answer. Be honest, supportive, and practical. Use my Insert CV to tailor your recommendations.
Why It Works
This prompt uses a role-based framing (“brutally honest career coach”) and includes specific, structured instructions to drive personalized, actionable output. The Insert CV invites the user to reflect on their background and goals, giving the model rich context to tailor advice. Its modular question design ensures relevance across industries while guiding deep, strategic responses.
Example Output
Example Output:
1. Skills and tools to develop now:
• Machine Learning Fundamentals (linear regression, decision trees, neural networks)
• Frameworks: PyTorch or TensorFlow
• Data Handling: pandas, NumPy, scikit-learn, SQL for data querying
• AI-Adjacent Tools: LangChain, OpenAI APIs, Hugging Face
• You already know Python — that’s a huge advantage. Now it’s about applying it to data and modeling.
2. Key trends reshaping the industry:
• AI is moving from research to product — meaning companies need devs who can integrate models into apps.
• Tooling is exploding: MLOps, vector databases, retrieval-augmented generation (RAG)