Claim 1: Quick setup, lasting value
Enabling ChatGPT memory function eliminates context repetition and improves response relevance by learning preferences over time
Enabling ChatGPT memory function eliminates context repetition and improves response relevance by learning preferences over time
Custom instructions defining role, constraints, and output format reduce prompt length by 60% while improving consistency
Configuring ChatGPT as a specific advisor type (strategic, technical, creative) shapes response style without per-prompt specification
Ten minutes of initial setup saves twenty hours annually by eliminating repetitive prompt refinement
Memory function works across conversations, building context that improves recommendations over weeks and months
"Most professionals waste $20/month on ChatGPT and get pocket change in return."
Kamil Banc
Framework + Context + Adjustments = Effective Prompts
Combine specific analysis methods (like Lean 5 Whys), reference prior business context, and set response constraints for structured, actionable insights
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The framework emphasizes that configuration—not the underlying AI model—determines value extraction. By combining frameworks (like "Lean 5 Whys"), context (business details stored in memory), and adjustments (response constraints), users generate structured insights they can actually implement rather than generic advice that sits unused.