Stephen G. Pope empowers content creators and agencies to scale their output through automation. He leverages his tech expertise, gained from building and selling a 7-figure software company, to offer the Kontent Engine Database, an AI-powered content management system. The system streamlines planning, creation, distribution, and analysis, enabling users to produce hundreds of videos, images, and text pieces weekly.
This playbook details automating faceless videos using Midjourney, Luma Labs, and Airtable for TikTok and YouTube by creating scenes with image prompts and CF directives. You'll learn to build an Airtable database and automation system, enabling you to generate consistent, high-quality videos with synchronized images and animations.
Learn how to build a Retrieval Augmented Generation (RAG) system to unlock the value of a company's private data for AI applications. The video details a strategy using Airtable as a database, Make.com for automation, and PineCone as a vector database; it demonstrates integrating these tools with LLMs like ChatGPT and Claude to create custom AI tools and automate responses based on company-specific knowledge.
Learn how to build a fully automated AI content system using n8n, Slack, and Airtable. By the end, you'll understand how to create, manage, and repurpose content, including generating videos from text and publishing to social media.
This playbook contains a step by step guide to fully automate creating AI videos from audio using tools like HeyGen, Airtable, and Make.com. Learn how to import voice notes, generate scripts, select avatars, and automatically produce videos using these no-code automation techniques.
