The counterintuitive AI rule almost no one is teaching: if you can't judge the output, you can't fix it. The placement audit prompt that maps your green zones and red zones.
Most people reach for AI when they're bad at something. The logic feels right. I'm bad at writing, AI can write for me. I'm bad at sales, AI can do my outreach. I'm bad at design, Midjourney can design.
It's exactly backward. If you're bad at something, you can't tell when AI is doing it badly either. You ship polished garbage. The actual move is to use AI where you're already good, because then your taste filters the output. AI multiplies your strengths, not your gaps.
This guide walks through the rule and gives you the audit prompt to map your own green zones and red zones in 15 minutes.
Think of AI as a multiplier on whatever judgment you already bring to the work. If your judgment in a given area is sharp, AI multiplies that into faster, more numerous, more polished outputs at the same quality bar. That is genuinely powerful.
If your judgment in a given area is thin, AI multiplies thin judgment into faster, more numerous, more polished garbage. The output looks confident, sounds right, and would fall apart the moment it hit an expert. You'll ship it without knowing.
So the question isn't 'where can AI help me?' The question is 'where do I have enough taste to evaluate what AI gives me?' That's the green zone.
You are a writer with a real voice. Use AI to generate 10 angles on a topic. You'll instantly see which one sounds like you and which two are close. AI gives you the breadth, you bring the filter.
You've made hires and built teams. Use AI to draft interview questions, job descriptions, or feedback scripts. You'll spot a generic question or a soft-sounding feedback line in three seconds. AI does the volume, your judgment does the editing.
You've built a brand and shipped creative. Use AI for moodboards, copy variants, headline tests. You'll see what's on-brand and what's adjacent the moment you look. AI multiplies your taste into more variations to choose from.
You've worked in your industry for 10+ years. Use AI to summarize trends, draft analyses, and write market briefs. You'll catch a misread risk or a missing piece of context immediately. AI accelerates the synthesis, your experience guards the accuracy.
You've sold and closed before. Use AI to draft outreach in 5 different tones. You'll know which one will land with your specific buyer profile before you press send. AI gives you the test space, your reps give you the answer.
You don't know how a legal contract should read and you use AI to draft one. It'll produce something that sounds legal. You won't know which 3 clauses just exposed you to a lawsuit.
You've never run paid ads and you ask AI to plan your first campaign. It'll generate a structurally correct plan that bleeds money on misallocated budget.
You don't understand financial statements and you ask AI to interpret your books. The summary will sound competent and quietly miss the trend that actually matters.
You've never coded and you ask AI to write production code for a payment flow. The code will run. The vulnerability won't show up until someone exploits it.
In every red zone case, AI's output is plausible enough to ship and dangerous enough to hurt you. The defense isn't 'use AI more carefully.' It's 'find a human expert and learn from them first.' Then add AI once you have the taste.
Paste this into Claude. It will interview you, then map your specific green zones, yellow zones, and red zones, plus the three highest-leverage moves to shift work from red to green over the next 30 days.
Copy this prompt
You are my AI placement auditor. Your job is to figure out, given my specific role and skills, exactly where I should be using AI heavily, where I should be using it carefully, and where I should not be using it at all yet. Run this in three steps: STEP 1, INTERVIEW Ask me 5 questions, one at a time, to understand my situation: 1. What's my role and what kind of work do I actually do day-to-day? 2. What are the things I'm genuinely GOOD at, where I have strong judgment and could spot bad work immediately? 3. What are the things I have to do but am NOT good at, where I'd struggle to evaluate the output? 4. Where am I currently using AI? Be specific about workflows. 5. What's a recent AI output I shipped that I felt unsure about? Wait for my answer to each before moving to the next. STEP 2, THE MAP Based on my answers, give me back: GREEN ZONE, the 5 specific work areas where I should be using AI heavily right now. For each one, name the area, explain why my existing taste makes me a good filter for the output, and give me a specific Claude or AI workflow to start with this week. YELLOW ZONE, the 3 areas where I could use AI with caution. Where my judgment is decent but not strong. For each one, tell me the specific guardrails to put in place: a human reviewer to add, a specific output to never trust blind, a check to run before shipping. RED ZONE, the 3 areas where I should NOT be using AI on my own yet. Where I don't have the taste to catch bad output. For each one, tell me what I'd need to learn first, who to learn from, and the cheapest fastest way to get the baseline taste. STEP 3, THE MOVES Pick the three single highest-leverage shifts I can make in the next 30 days. Could be moving one workflow from yellow to green by improving my prompts. Could be pulling one workflow out of red and back to me until I learn the skill. Could be a new green-zone use case I'm not running yet. Be specific. Name the actual workflow, the actual tool, the actual change.
The hardest part
The hardest part of this audit is being honest about your red zones. Most people overestimate where they have taste. If you have to think for more than three seconds about whether something is good, that's a red zone. The taste is fast or it isn't there yet.
How taste gets built
If most of your day is in your red zone, the answer isn't despair. The answer is: spend a few months getting the baseline taste in one or two of those areas. Hire a coach. Take a class. Apprentice. Then AI becomes a multiplier on the new taste. The order is: get the taste, then add AI. Not the other way around.
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