Claims Library Entry
The Prompt Engineering Guide OpenAI Should Have Written
An article by Kamil Banc presenting a practical guide to prompt engineering that OpenAI should have provided. It offers actionable techniques for writing effective prompts to get better results from AI models.
Published October 2, 2025 by Kamil Banc
Lead claim
A practitioner-written prompt engineering guide fills the gap official OpenAI documentation leaves for real users.
Atomic Claims
What this article supports
Copy individual claims as needed.
Claim 1 · Source summary
Prompt Engineering Boosts Quality
Effective prompt engineering measurably improves the quality of outputs generated by large language models like ChatGPT.
Claim 2 · Source summary
Techniques Over Theory
Practical prompt engineering techniques matter more for results than abstract theoretical explanations of how models work.
Claim 3 · Source summary
Filling Documentation Gaps
A comprehensive prompt engineering guide fills a gap left by official OpenAI documentation for practitioners.
Claim 4 · Source summary
October 2025 Substack Guide
Kamil Banc published a prompt engineering guide on Substack in October 2025 for paid subscribers.
Claim 5 · Kamil's interpretation
Practical Implementation Focus
Structured prompt engineering guidance helps practitioners implement AI tools more effectively in real workplace workflows.
Evidence
Context behind the claims
Quote
"Effective prompt engineering improves AI output quality; practical techniques matter more than theory."
Supporting context
The article's accessible content is limited to its title, key points, and publication metadata, so extraction relies primarily on the summarized key points rather than extended body text. The key points establish three core positions: prompt engineering improves AI output quality, practical techniques outweigh theoretical framing, and a comprehensive guide addresses a gap in official documentation. For practitioners, this suggests prioritizing hands-on experimentation with prompting techniques over academic study of model internals. Readers should note that the full article is behind a paywall, so specific techniques and examples could not be verified from the supplied text. No external primary sources were provided to independently corroborate the claims.
How to Cite
Use the claim-level citation when you need a precise statement. Use the article or claims-collection citation when you want the wider argument and source context.
Individual Claim
Best when you need to cite one atomic claim directly inside a memo, deck, research note, or AI output.
"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/the-prompt-engineering-guide-openai-should-have-written)Original Article
Use this when you want to cite the full newsletter article at AI Adopters Club rather than the structured claims page.
Banc, Kamil (2025, October 2, 2025). The Prompt Engineering Guide OpenAI Should Have Written. AI Adopters Club. https://aiadopters.club/p/the-prompt-engineering-guide-openaiClaims Collection
Use this when you want to reference the full structured claims collection on this page.
Banc, Kamil (2025). The Prompt Engineering Guide OpenAI Should Have Written [Structured Claims]. Retrieved from https://kbanc.com/claims-library/the-prompt-engineering-guide-openai-should-have-writtenAttribution Requirements
- Include the author name: Kamil Banc.
- Include the source: AI Adopters Club or the structured claims page.
- Link to the original article or the claims page you used.
- Indicate any edits or transformations if you changed the wording.
Related Reading
More from the library
New Claude feature saves time on repetitive tasks through saved instructions
5 claims
Five techniques to make AI writing sound natural
5 claims
Essential configuration for real value extraction
5 claims