n8n

Currently Playing: why you suck at prompt engineering (and how to fix it)

Want an AI Makeover for YOUR Business? 👉🏻 https://bit.ly/aimakeover Follow me on Instagram to see behind the scenes: 🤳🏼 https://instagram.com/liamottley 🛠 MY TECH STACK Hostinger (agent & web hosting): https://hostinger.com/liamvps Hyperagent (AIOS workspace): https://www.hyperagent.com/liam Ospry (AI lead gen): https://www.ospry.ai?fpr=liam41 Glaido (voice transcription): https://get.glaido.com/liam-ottley Firecrawl (web scraping): https://firecrawl.link/liam-ottley Supadata (video scraping): https://supadata.ai/?ref=liam Apify (all other scraping): https://apify.com?fpr=8txghh ElevenLabs (voice agents & cloning): https://try.elevenlabs.io/liam Claude Code (coding): https://claude.com/claude-code Supabase (database): https://supabase.com Some links above are affiliate links. Using them supports the channel at no extra cost. 📚 Join the #1 community for AI entrepreneurs and connect with 200,000+ members: https://bit.ly/skool-ov 📈 We help industry experts, entrepreneurs & developers build and scale their AI Agency: https://bit.ly/aaa-accelerator-ov 🤝 Need AI Solutions Built? Work with me: https://bit.ly/morningside-ai-ov My Vlog/BTS Channel: https://bit.ly/LiamOttleyVlogs In this video I’ll explain why you suck at prompt engineering and how to fix it. This complete prompt engineering guide will take you from complete beginner to expert. Learning prompt engineering is a foundational skill for anyone looking to build a career or business in AI. Bit of a different style but let me know if you like it! Timestamps: 0:00 - the not-so-bell curve 2:17 - why new style? 3:46 - why you're bad 5:40 - why take PE seriously? 11:14 - perfect prompt fORmUla 11:54 - max performance techniques 12:14 - total performance increase 12:40 - example 13:51 - role 15:47 - task 18:21 - specifics 21:03 - context 22:32 - examples 28:30 - notes 33:09 - markdown formatting 38:44 - considerations 49:21 - call with my CTO 51:05 - use case 1 52:30 - use case 2 53:15 - use case 3 53:56 - use case 4 54:43 - next steps