4 ChatGPT Hacks that Cut My Workload in Half

About this video

Jeff Su shares four ChatGPT techniques. First, prompt reversal: after iterating through several refinements to get the result you want — in his example, turning a dense competitor overview of Anthropic into a SWOT analysis with three bullet points per section, subheadings and a strategic response — ask the AI to reverse-engineer the conversation and write the single prompt that would have produced that final response in one go, then save that prompt for reuse. Second, the five-minute amplifier: take one piece of pillar content you already have, such as a slide deck, and have AI repurpose it into multiple assets, like a 10-question quiz, an internal recap email, and a client-facing infographic, noting sales and HR examples. Third, the red team technique: after AI drafts something from your perspective, ask it to adopt a specific opposing persona — a busy hiring manager scanning a resume, a cost-cutting CFO reviewing a proposal, or a VP receiving a cold email — and critique it, then turn that critique into a rewrite. Fourth, blueprint scaffolding: for complex tasks, ask AI to outline its sections and reasoning first, prune irrelevant parts using the 80/20 rule, then have it flesh out the approved blueprint.

Key takeaways

  • Use prompt reversal: after refining output, ask AI to write the one prompt that would have produced it in one shot
  • Amplify pillar content only — repurpose a strong deck or report into quizzes, emails, and infographics
  • Red-team drafts by giving AI a specific opposing persona with clear motivations, not just ‘act as a critic’
  • Turn red-team critique into action by asking AI to rewrite the weakest parts it identified
  • Use blueprint scaffolding for complex work: review and prune the outline before AI generates the full output

Episode details: published November 4, 2025 · 10:49 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Jeff Su’s own claims, shared for education — they are not typical or guaranteed.


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