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Prompt Details

Model
(gemini-3.1-pro)
Token size
246
Example input
[Learning_Goal]: Data Science with Python [Available_Resources]: Online documentation and YouTube [Target_Audience]: Career Switchers [Success_Metric]: $100\%$ completion of a predictive model project
Example output
THE AUTONOMOUS CONTRACT Motivation is to transition into tech. I commit to $10$ hours per week for $12$ weeks. Success is defined by a $100\%$ functional prediction model on GitHub. KNOWLEDGE TOPOGRAPHY Foundation Syntax and Data Structures. Intermediate Pandas and NumPy for cleaning. Advanced Scikit-Learn for modeling. RESOURCE CURATION Week $1-4$ Official Documentation for syntax. Week $5-8$ Kaggle datasets for practice. Week $9-12$ Project building using YouTube tutorials. SELF-REFLEXIVE AUDIT 1 Code Review explain each line to a rubber duck. 2 Error Analysis log each bug and its solution. 3 Peer Feedback post snippets on LinkedIn for community critique.
♊️ Gemini

Selfdirected Architect

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GEMINI-3.1-PRO
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SDL Mastery: Self-Directed Learning Architect. In an era of constant change the ability to learn autonomously is your greatest asset. This professional engine transforms any learning goal into a high-depth autonomous study plan. Using 4 precise variables it generates a learning contract hierarchical knowledge maps stage-based resource curation and self-reflexive audits. Perfect for students career switchers and lifelong learners who want to master new skills with scientific precision.
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