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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

AI ToolsImplementation

Lead claim

A practitioner-written prompt engineering guide fills the gap official OpenAI documentation leaves for real users.

Atomic Claims

What this article supports

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.

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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)
Full Context

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-openai
Research

Claims 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-written

Attribution 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.

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