
This podcast was created using BeFreed's AI, based on selected books, the creator's learning goals, and their preferred tone.






A practical, direct audio lecture for Oracle engineers on building custom GPTs within ChatGPT. Focus strictly on the build process: anatomy (instructions, knowledge, capabilities), defining the 'job' first, and iterative testing. Use an Oracle support ticket analysis GPT as the central case study. Sections: 1. Definition of custom GPTs, 2. Repeatability/Consistency vs. one-off prompting, 3. Anatomy of a GPT, 4. Defining the task/problem, 5. Writing structured instructions (specific behaviors), 6. Practical Support Example (Issue/Sentiment/Next Steps), 7. Defining output formats, 8. Iterative testing & verification, 9. Refinement strategies, 10. Common pitfalls (broadness/vagueness), 11. Responsible use & data privacy, 12. Final takeaway on purpose-built assistants. Tone: Professional, engineering-focused, no fluff.

From Columbia University alumni built in San Francisco
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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."
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"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
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From Columbia University alumni built in San Francisco
