4 ChatGPT Hacks that Cut My Wo

Describes the common back-and-forth interaction with AI where initial prompts yield partial results, requiring multiple refinements to reach near-perfect output.
Introduces prompt reversal as a method to skip iterations by having AI reverse-engineer the conversation into a single optimized prompt that produces the desired result directly.
Analogy: Like scanning a final cooked dish to generate the exact recipe for future one-shot perfection, avoiding trial-and-error tweaking.
Real-world example: Initial prompt to analyze competitor Anthropic's business strategy yields dense overview; refinement to SWOT analysis (3 bullets per section, simple words) makes it too concise; further refinement adds details and "strategic response" subheadings with one concrete action per section.
Final step: Prompt AI to "reverse engineer our conversation and write the single prompt that would have produced my final response in one go," outputting a copy-pasteable prompt in a code block.
Testing: Pasting the reversed prompt in a new chat produces the perfect detailed SWOT analysis in one step.
Benefits: Saves time and effort long-term; captures refined details; improves prompt-writing skills by revealing optimized structures.
Pro tip: Save reversed prompts to a personal database (e.g., in Notion) as they become reusable high-quality templates.

Promotes HubSpot's free ebook "Supercharge Your Workday with ChatGPT" for professionals, going deeper than similar resources like Google Gemini's guide.
Highlights actionable strategies for specific corporate roles and section on prompt databases.
Inspired tip: Assign one gatekeeper per team to manage shared prompts database (add, refine, remove templates), used in corporate workshops.
Link to ebook in description; thanks HubSpot for sponsorship.

Recalls past experience as Google marketing manager relying on other teams for content, leading to delays and frustration.
Technique: Use AI to amplify one piece of existing content (e.g., slide deck) into multiple outputs, eliminating dependency and manual work.
Real-world example from marketing: From sales/product slides, AI creates (1) 10-question quiz with multiple choice and answers; (2) internal recap email summarizing takeaways for absent stakeholders; (3) external client-facing infographic with key stats.
Cross-department applications: Sales turns marketing report into cold emails, LinkedIn post, and call talking points; HR turns webinar transcript into reference guide, FAQ, and knowledge quiz.
Benefits: Saves hours on reformatting/rewriting; repurposes high-effort "pillar content" (e.g., successful presentations, data reports).
Pro tip: Select only high-quality source material to avoid amplifying garbage; AI magnifies input quality.
Course promotion: Developing evergreen AI mastery course on timeless principles; join waitlist via link.

Two-step method: First, generate content from user's perspective; second, prompt AI to adopt a critical, opposing persona for feedback.
Purpose: Anticipate real-world challenges and strengthen output before deployment.
Example 1 (Job applications): Tailor resume to job description, then prompt AI as busy hiring manager (60-second scan) to identify red flags.
Example 2 (Business proposal): Draft proposal for CFO, then red-team as cost-cutting CFO to critique financial risks and ROI justification.
Example 3 (Cold outreach email): Refine email, then prompt AI as targeted VP of Marketing (receiving 50 similar emails daily) for unfiltered reaction, delete-triggering sentences, and reasons.
Benefits: Provides insightful critiques to preempt issues.
Pro tip 1: Specify detailed personas with motivations (e.g., risk-averse CTO focused on data security) for better feedback.
Pro tip 2: Follow up to turn critiques into action (e.g., rewrite weakest sentences based on identified weaknesses).

Forces AI to outline step-by-step reasoning and structure before final output, like reviewing a house blueprint before construction.
Improves complex tasks by allowing early review and adjustments, avoiding rework.
Real-world example: Basic prompt for Q4 marketing brief for "Workspace Academy" online course yields generic, overly detailed response (e.g., unnecessary UTM tracking, risks).
Improved prompt: Same details, plus "First, outline standard sections of a professional brief with one-sentence descriptions each."
Review step: Spot irrelevant sections (e.g., 18 bullets too much); refine to apply 80/20 rule, focus on essential sections for 3-email sequence.
Further refinement: Remove 7-8 non-essential sections, then flesh out the brief.
Result: Targeted, relevant output vs. initial generic one.
Rule of thumb: For multi-step/nuanced tasks, always request thought process breakdown first, review/adjust, then execute.
Reference to GPT-5 video: Articulating steps selects stronger reasoning paths for accuracy and structure.
Advanced pro tip: Define success metrics upfront (e.g., for social media brief, outline steps with metrics like "3 actionable takeaways" for competitor analysis) for added clarity and accountability.

Video presents four ChatGPT hacks to halve workload: prompt reversal for one-shot optimized outputs, 5-in-1 amplifier for repurposing content across uses, red team for critical feedback via personas, and blueprint scaffolding for structured reasoning previews.
Includes real examples, benefits, pro tips, and cross-role applications; interspersed with HubSpot ebook sponsorship and personal course promotion.
Outro recommends checking top 5 ChatGPT use cases video for professionals.

last updated: 2025-11-09