A series following real workflow problems, decisions, and lessons learned behind AI-assisted content work and building AI Content Tool.
How the workflow and thinking evolved across the first four posts:
From chatbot prompts to workflow friction
Faster tasks vs. manual bottlenecks
From single drafts to a connected system
From linear posts to Content Trees
After years of using AI chatbots for isolated marketing tasks, standardizing repetitive prompts into a repeatable workflow led to building a dedicated tool.
AI helped individual production steps move faster, but connecting research, brief, drafting, and publishing was still manual and repetitive.
Moving from an AI assistant that writes isolated drafts toward a connected system where content has lifecycles, states, and reusable context.
Reusing the context, research, and product facts behind a topic across multiple formats rather than treating every piece of content as a separate output.
This series documents the evolution and thinking behind the tool. For the live project overview, screenshot previews, and repository details, see the project page.