Projects using Airtable in Little RockProjects using Airtable in Little Rock Building an AI-powered affiliate publishing engine from the ground up.
I am currently working on a full automation system for NodeRidge, designed to turn product and software research into structured, review-ready WordPress content with human approval built into the workflow.
The goal is simple: remove the repetitive work from affiliate publishing while keeping quality control, visibility, and editorial review in place.
This build connects:
🗄️Airtable as the central operations hub
⚡Make.com (http://Make.com) for workflow automation
🧠OpenAI for content generation
đź“ťWordPress for draft publishing
đź“ŠGoogle Search Console for rank and performance tracking
What I like most about this project is that it is not just "AI writing content." It is a real backend publishing engine with structured data, review gates, sync monitoring, and operational visibility.
The system is already handling prompt runs, WordPress draft syncing, affiliate link registry logic, and QA tracking. My next focus is scaling the Airtable architecture to handle higher volume.
This is the kind of build I enjoy most: connecting messy manual workflows into a clean system that can actually scale.
What are the biggest operational bottlenecks you're currently dealing with in your own workflows? Stop building science experiments and start building scalable, autonomous operational systems.
I just published a detailed look under the hood at my most sophisticated AI integration yet: The Hierarchical Multi-Agent Business System.
Most founders use ChatGPT to write emails. I build AI agent teams to source leads, design technical architectures, manage client-facing dashboards, and automate complex content pipelines—all with zero human input for everything except final approval.
Take a look at the attached infographic to see how this recursive, self-optimizing architecture functions. Here is the operational impact of what I build:
Departmental Specialization:
I don't use one "smart" agent. I build a crew of highly specialized agents (Lead Gen, Content, DevOps) overseen by a Manager Agent to ensure quality and prevent hallucinations.
The Human-in-the-Loop Safeguard:
The entire workflow is designed to be fully autonomous until final quality control and strategic approval. You get the scale of AI with the certainty of a human final check.
Tool Agnosticism:
My builds are logic-first. We use the best tool for the task, whether that's CrewAI, LangGraph, Supabase, Cloudflare, OpenAI, or a custom API.
If you are a founder or operator ready to turn your standard business workflows into high-performance, autonomous engines, check out the full case study.
https://contra.com/s/2rFLgNAU-custom-ai-agent-for-your-business-workflow
