How to QA AI-generated Documentation Without Missing Errors episode artwork

EPISODE · Jun 22, 2026 · 12 MIN

How to QA AI-generated Documentation Without Missing Errors

from Technical Writing Success · host Curt Robbins

Welcome to episode 208 of the Technical Writing Success podcast from Curt Robbins, where we help you get smarter than your competition. In this episode, entitled "How to QA AI-generated Documentation Without Missing Errors," hosts Daphne Blake and Fred Jones outline a systematic approach to quality assurance for technical writers and documentation specialists who must now prioritize editing AI-generated content over traditional drafting. They highlight the dangers of "workslop," where polished prose masks dangerous factual hallucinations or missing procedural prerequisites. To combat these risks, the guide proposes a three-pass verification workflow that focuses on validating facts, testing user procedures, and ensuring terminology consistency. This episode emphasizes that human accountability is irreplaceable, as writers must own the final output to ensure user safety and trust. Ultimately, Blake and Jones argue that the ability to verify and correct automated drafts is now a technical writer's most essential professional skill. Underpinning this process is the principle of "garbage in, garbage out," suggesting that high-quality documentation starts with providing the AI with precise, narrow source materials._________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins. — Curt Robbins_________________________________>> Preserve your job with AI coaching from Curt Robbins: https://tinyurl.com/mr3m5fdz>> Read the Robbins article "The Year AI Went Nuclear: Six Largest M&A Deals of 2025": https://tinyurl.com/2vys3mrm>> Read the Robbins article "The Global AI Race: America vs. China": https://tinyurl.com/2uckj7wy>> Read the Robbins article "Understanding AI Hallucinations in Technical Writing": https://tinyurl.com/bdeyd64t>> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group AI for Career Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt>> Subscribe to the YouTube channel AI for Career Success: https://tinyurl.com/29t4x5xu#TechnicalWriting #documentation #TechnicalWritingSuccessPodcast

Welcome to episode 208 of the Technical Writing Success podcast from Curt Robbins, where we help you get smarter than your competition. In this episode, entitled "How to QA AI-generated Documentation Without Missing Errors," hosts Daphne Blake and Fred Jones outline a systematic approach to quality assurance for technical writers and documentation specialists who must now prioritize editing AI-generated content over traditional drafting. They highlight the dangers of "workslop," where polished prose masks dangerous factual hallucinations or missing procedural prerequisites. To combat these risks, the guide proposes a three-pass verification workflow that focuses on validating facts, testing user procedures, and ensuring terminology consistency. This episode emphasizes that human accountability is irreplaceable, as writers must own the final output to ensure user safety and trust. Ultimately, Blake and Jones argue that the ability to verify and correct automated drafts is now a technical writer's most essential professional skill. Underpinning this process is the principle of "garbage in, garbage out," suggesting that high-quality documentation starts with providing the AI with precise, narrow source materials._________________________________"It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins. — Curt Robbins_________________________________>> Preserve your job with AI coaching from Curt Robbins: https://tinyurl.com/mr3m5fdz>> Read the Robbins article "The Year AI Went Nuclear: Six Largest M&A Deals of 2025": https://tinyurl.com/2vys3mrm>> Read the Robbins article "The Global AI Race: America vs. China": https://tinyurl.com/2uckj7wy>> Read the Robbins article "Understanding AI Hallucinations in Technical Writing": https://tinyurl.com/bdeyd64t>> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn>> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca>> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z>> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk>> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d>> Join the LinkedIn group AI for Career Success: https://tinyurl.com/mr28u7td>> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt>> Subscribe to the YouTube channel AI for Career Success: https://tinyurl.com/29t4x5xu#TechnicalWriting #documentation #TechnicalWritingSuccessPodcast

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How to QA AI-generated Documentation Without Missing Errors

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This episode was published on June 22, 2026.

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Welcome to episode 208 of the Technical Writing Success podcast from Curt Robbins, where we help you get smarter than your competition. In this episode, entitled "How to QA AI-generated Documentation Without Missing Errors," hosts Daphne Blake and...

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