The Art of Prompt Engineering: Best Practices for Effective AI Interactions
summary
Shows concrete methods and results: uses chain-of-thought prompting (run 3–5 times for self-consistency), implements self-reflecting systems that evaluate and rewrite outputs, and publishes custom GPTs plus a small app that rewrites prompts and runs both original and improved prompts side‑by‑side. Demos include a pitch deck claimed ~80% usable, a Google Sheets + ChatGPT module, QR‑linked playgrounds, and a test of ~400 prompt lines costing about €1, so the tools actually execute and reduce hallucination.
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chapters (9)
- 0:00Prompt engineering intro
- 7:41Weak prompts and zero-shot limits
- 16:13Chain of thought prompting
- 20:33Self-consistent chain of thought
- 23:50Self-reflecting AI systems
- 32:04Building AI assistants with GPTs
- 35:00Practical prompt improvement with Vibe coding
- 39:18Testing prompts via API and Sheets
- 43:15Q&A
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