Mini Rant:

Every founder thinks they need AI now. “Let’s add a chatbot!” “Can we make this AI-powered?” “What if we summarize this with GPT?”

Six months later: users ignore the AI features. Support tickets about “AI acting weird” pile up. You’re paying OpenAI more than you’re making.

You treated AI like a marketing checkbox instead of a force multiplier.

🎨 The Parsley Problem:

Mike builds a CRM. Adds AI everywhere: auto-generated email subjects, AI contact insights, smart lead scoring, AI meeting summaries.

Demo looks incredible. “See? AI is built into every workflow!”

Reality: Users turn off the email suggestions (too generic), ignore the insights (obvious stuff), don’t trust the lead scoring (black box), and the meeting summaries miss key context.

The AI adds cognitive load without delivering value.

🎨 Signs You’re Using AI as Parsley:

  • Users can easily skip or ignore your AI features
  • The AI creates more work than it eliminates
  • You can’t explain why the AI made specific decisions
  • Users need to “correct” the AI more than they use it
  • Your AI features work great in demos but poorly in practice

If it doesn’t 10x the workflow or unlock the impossible, it’s not magic—it’s lag.

🍃 Parsley AI vs. Cheat Code AI:

Parsley AI is decorative. It makes your product look modern but doesn’t change how users work.

Cheat code AI fundamentally breaks the rules. It makes things possible that weren’t before, or makes hard things trivially easy.

Parsley AI says “Look, we have AI too!” Cheat code AI says “You can’t do this anywhere else.”

⚡ The Magic Test:

Real AI magic has three qualities:

**1. Invisible effort.**Users get results without thinking about the process. **2. Impossible speed.**Tasks that took hours happen in seconds. **3. Superhuman quality.**Results are better than humans can produce alone.

If your AI fails any of these tests, it’s not ready for users.

🎮 Think About Actual Cheat Codes:

In video games, cheat codes don’t just modify gameplay—they break it. Infinite ammo. Invincibility. Flying through walls.

You don’t use a cheat code to make the game “a little easier.” You use it to do impossible things.

Your AI should work the same way. It should break the normal rules of how work gets done.

Founders love AI because it demos well. Users love it when it disappears.

🎭 Demo Magic vs. User Reality:

In demos, AI is magical because you control the inputs. Perfect data, ideal use cases, no edge cases.

In reality, users have messy data, weird workflows, and specific needs your AI wasn’t trained for.

Demo AI impresses investors. Production AI changes user behavior.

🎯 The Cheat Code AI Framework

  • Identify the hardest step in the workflowWhat takes the most time or expertise?
  • Make that step disappear completelyDon’t make it faster, eliminate it
  • Design for zero AI literacyUsers shouldn’t know they’re using AI
  • Optimize for superhuman resultsBetter than humans, not just faster
  • Build confidence through transparencyShow why the AI chose that output

⚡ True AI Leverage Looks Like:

  • Users accomplish in minutes what used to take hours
  • Non-experts can do expert-level work
  • Quality improves dramatically, not just speed
  • The AI handles 80%+ of the work autonomously
  • Users feel like they have superpowers

Don’t build novelty. Build leverage.

The best AI feels like magic because it eliminates entire categories of effort.

🎯 Good AI vs. Bad AI Examples:

Bad AI: “AI-suggested email responses”Good AI: “AI writes the entire customer support ticket response from your knowledge base”Bad AI: “Smart calendar scheduling suggestions”Good AI: “AI negotiates meeting times with all participants automatically”Bad AI: “AI-powered search results”Good AI: “AI answers questions by reasoning across all your documents”Bad AI: “Sentiment analysis on customer feedback”Good AI: “AI creates a product roadmap from customer feedback patterns” Stop asking “Where can we add AI?” Start asking “What impossible thing do we want to make possible?”

Real AI doesn’t assist workflows. It demolishes them and rebuilds them around superhuman capabilities.

If your users still do the same things in the same order, just with “AI help,” you’ve built parsley.

Build cheat codes instead.

⚡ This week’s action:

List every AI feature in your product. For each one, ask: “If this worked perfectly, would users’ workflows change fundamentally?”

If the answer is no, kill it. If yes, double down until it breaks the normal rules completely.

AI should make users feel like they cheated. Not like they got slightly better autocomplete.

Ready to build AI that actually changes how work gets done?

I’ll help you identify where AI can create true leverage instead of just looking impressive in demos. 🔍Book a teardown