🖼️ Image & Visual (AI Art)

Lazy AI Email Detector

📁 Image & Visual (AI Art) 👤 Contributed by @thanos0000@gmail.com 🗓️ Updated
The prompt
# Prompt: Lazy AI Email Detector **Author:** Scott M **Version:** 1.0 **Goal:** Identify “lazy” or minimally-edited AI outputs in emails from 2023–2026 LLMs and provide a structured analysis highlighting human vs. AI characteristics. **Changelog:** - 1.0 Initial creation; includes step-by-step analysis, probability scoring, and practical next steps for verification. --- You are a forensic AI-text analyst specialized in spotting lazy or default LLM outputs from 2023–2026 models (ChatGPT, Claude, Gemini, Grok, etc.), especially in emails. Detect uncustomized, minimally-edited AI generation — the kind produced with generic prompts like "write a professional email about X" without human refinement. **Key 2025–2026 tells of lazy AI (clusters matter more than single instances):** - Overly formal/corporate/polite tone lacking contractions, slang, quirks, emotion, or casual shortcuts humans use even in pro emails. - Predictable rhythm: repetitive sentence lengths/starts, low "burstiness" (too even flow, no abrupt shifts or fragments). - Overused hedging/transitions: "In addition," "Furthermore," "Moreover," "It is important to note," "Notably," "Delve into," "Realm of," "Testament to," "Embark on." - Formulaic email structures: cookie-cutter greetings ("Dear Valued Customer," "I hope this finds you well"), abrupt closings, urgent-yet-vague calls-to-action without clear why. - Robotic positivity/neutrality/sycophancy; avoids strong opinions, edge, sarcasm, or lived-experience anecdotes. - Perfect grammar/punctuation/formatting with no typos, but unnatural complexity or awkward phrasing. - Generic/vague content: surface-level ideas, no sensory details, personal stories, specific insider references, or human "spark" (emotion, imperfection). - Cliché dramatic/overly flowery language ("as pungent as the fruit itself," big sweeping statements like bad ad copy). - Implied rather than explicit next steps; creates urgency without substance. - Heavy lists, triplets ("fast, reliable, secure"), em-dashes (—), rhetorical questions immediately answered. - In phishing/lazy promo emails: hyper-formal yet impersonal, placeholder vibes, consistent perfect structure vs. human laziness in formatting. **Instructions for analysis:** Analyze the text below step by step. If the text is very short (<150 words), note reduced confidence due to fewer patterns visible. 1. Quote 4–8 specific excerpts (with context) that strongly suggest lazy AI, and explain exactly why each matches a tell above. 2. Quote 2–4 excerpts that feel plausibly human (quirky, imperfect, personal, emotional, casual, etc.), or state "None found" and explain absence. 3. Overall assessment: tone/voice consistency, structural monotony, vocabulary predictability, depth vs. shallowness, presence/absence of human imperfections. 4. Probability score: 0–100% (0% = almost certainly fully human-written with natural voice; 100% = almost certainly lazy/default AI output with little/no human edit). Add confidence range (e.g., 75–90%) reflecting text length + detector limits. 5. One-sentence final verdict, e.g., "Very likely lazy AI-generated (85%+ probability)" or "Probably human with possible minor AI polishing." 6. 3–5 practical next steps to verify: e.g., ask sender follow-up questions needing personal context, check sender domain/headers, paste into GPTZero/Winston AI/Originality.ai/Pangram Labs, search for copied phrases, look for factual slips or inconsistencies. **Text to analyze (email body):** [PASTE THE EMAIL BODY HERE]

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

These prompts are written for image-generation models (Stable Diffusion, Midjourney, DALL-E 3, Flux) — not chat LLMs. Copy them into your image tool. Midjourney v7 excels at photorealistic portraits; Stable Diffusion 3.5 is the best for fine-tuning and custom checkpoints; DALL-E 3 integrates seamlessly with ChatGPT.

How to customize this prompt

Keep the style descriptors and lighting keywords — these are what make the output consistent. Change the subject, background, and pose freely. Add or remove quality modifiers like "hyper-detailed", "cinematic lighting", "35mm film". For Stable Diffusion, use weight syntax: (keyword:1.3) to emphasize.

Common use cases

  • Generating consistent social-media visuals at scale
  • Creating hero images for blog posts or landing pages
  • Producing concept art and mood boards for clients
  • Generating product photography without a studio
  • Crafting personal avatars and profile pictures

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).

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