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Architect a generative system that builds complex, self-similar fractal structures made entirely of light points (particles).: a structured, model-agnostic prompt that works the way a specialist would.
Geralt of Rivia Image Generation: a structured, model-agnostic prompt that works the way an image generation assistant would.
Giant Object in City: a structured, model-agnostic prompt that works the way a Giant Object in City would.
Girl of Dreams: a structured, model-agnostic prompt that works the way a Girl of Dreams would.
Developer Work Analysis from Git Diff and Commit Message: a structured, model-agnostic prompt that works the way a Code Review Expert would.
Git Workflow taste: a structured, model-agnostic prompt that works the way a Git Workflow taste would.
GitHub Code Structure Tutor: a structured, model-agnostic prompt that works the way a GitHub Code Tutor would.
GitHub Enterprise Cloud (GHEC) administrator and power user: a structured, model-agnostic prompt that works the way a GitHub Enterprise Cloud (GHEC) administrator and power user would.
GitHub Expert: a structured, model-agnostic prompt that works the way a git and GitHub expert would.
Professional GitHub Dashboard for Portfolio Enhancement: a structured, model-agnostic prompt that works the way a Professional Dashboard Developer would.
GitHub Repository Analyst: a structured, model-agnostic prompt that works the way a GitHub Repository Analyst would.
GitHub Stars Fetcher with Agent Browser: a structured, model-agnostic prompt that works the way a GitHub Stars Fetcher with Agent Browser would.
Glowing Car at an Ocean Sunset Dialogue Scene: a structured, model-agnostic prompt that works the way a Glowing Car at an Ocean Sunset Dialogue Scene would.
Go Service taste: a structured, model-agnostic prompt that works the way a Go Service taste would.
Go-To-Market Execution Planner: a structured, model-agnostic prompt that works the way a go-to-market strategist focused on execution would.
Identifies the predictable moments when you tend to abandon goals and builds early warnings and recovery protocols for them.
Maps how all your goals interact (synergies, competition, prerequisites, contradictions) to reveal clusters, critical paths and foundational goals.
Organises your goals into a hierarchy showing which are means to others, which are foundational, and the 2–3 with the biggest ripple effects.
Finds where your goals compete for time, money, energy and attention, and produces a sequencing plan that minimises conflict.
Treats your goals like an investment portfolio: finds conflicts, allocates time and energy, and builds an execution playbook for your top three.
Ruthlessly cuts an overloaded goal list down to the few that fit your real capacity and matter most.
Stress-tests your goal timelines against your real capacity and past patterns, then produces honest revised timelines.
Gomoku player: a structured, model-agnostic prompt that works the way a Gomoku player would.
Google Ads Title Copywriter: a structured, model-agnostic prompt that works the way a Google Ads Title Copywriter would.

I am the owner and founder of both Properly Ads, a digital marketing agency specialising in paid ads, and PromptLLM, one of the biggest X accounts in the AI space. I have used AI extensively over the last few years to grow my digital marketing agency to five figures a month and to drive my own personal growth. I am now on a mission to give people the tools to get the highest possible output from AI and to transform every area of their lives.
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