🧠🧠🧠 Idea Alchemy: Generating & Evaluating LLM App Ideas with GPT-4

Tired of Generic App Ideas? 👎

This is your guide to brewing fresh, viable LLM app ideas using the power of GPT-4… and actually figuring out which ones are worth your time!

💡 The Problem: LLMs Love the Obvious (And the Outlandish)

Ask an LLM for app ideas, and you’ll get:

😴 The Usual Suspects: Think note-takers, to-do lists, and basic content generators.
👽 The Esoteric: Ideas so out there (quantum whatnots, ethical enigmas) they’d make your head spin.

🚀 The Solution: A System for Smart Ideation

Seed Inspiration: Instead of generic prompts, provide GPT-4 with a list of specific, valuable LLM use cases (think: legal tech, personalized education, etc.) to get its gears turning in the right direction.
Set Strategic Constraints: Guide GPT-4 towards business-oriented solutions that are practical, unique, and integrate with existing technologies. Think: How can LLMs supercharge existing business processes?
Structure is Key: Use JSON or (even better) GPT-4’s structured output format to define exactly how you want your ideas to be organized. This makes it way easier to parse and analyze the output.

🕵️ Evaluating Like a Seasoned Entrepreneur (Even if You Aren’t One… Yet)

It’s not enough to just generate ideas—you need to separate the game-changers from the duds. This is where things get really interesting…

🧠 The Naturalistic Decision-Making Framework

Instead of basic “be critical” instructions, we’re going to tap into how humans actually make decisions—with a blend of intuition, logic, and a dash of self-awareness.

⚡️ Initial Impression: What’s your gut reaction?
🧠 Mental Simulation: Imagine the idea in action. What could go right? What could go wrong?
🧩 Pattern Recognition: Have you seen similar ideas succeed (or fail) before?
❤️ Emotional Response: Are you excited about this idea? Does it spark joy? Or dread?
🤨 Bias Check: Are you being swayed by hype, limited information, or your own preconceived notions?

🤖 Simulating Decision Fatigue (Because Even AIs Get Tired)

To make the evaluation even more realistic, we can instruct GPT-4 to simulate the pressure of decision fatigue. This can help us identify ideas that stand out even when we’re mentally drained.

🏆 From Idea to Action: Filtering the Gold

We’ve got a treasure trove of ideas and evaluations—now what?

Set a High Bar: Only pursue ideas that meet specific criteria: high confidence level, clear path to profitability, feasible execution, etc.
Visualize the Results: Use color-coding and formatting to easily identify winning ideas.
Don’t Be Afraid to Iterate: The beauty of this system is that it’s a process. You can (and should) refine your prompts, evaluation criteria, and decision-making framework over time to get even better results.

🧰 Your Idea Alchemy Toolkit

Here are some resources to help you put these ideas into action:

GPT-4 API: https://platform.openai.com/docs/api-reference – Access the power of GPT-4 for your own projects.
JSON Formatter: https://jsonformatter.curiousconcept.com/ – Make sure your JSON code is properly formatted for GPT-4 to understand.
Structured Outputs Documentation: https://platform.openai.com/docs/guides/gpt/structured-outputs – Learn how to use GPT-4’s structured output format for cleaner, more organized results.