Our recent work includes an experiment with rogue AI agents, an analysis of 2,000+ Reddit posts, and even 100% human-written content.
We love putting theory into practice—and then writing about the results. These examples show how we're applying AI to build original content, from in-depth analyses to AI-powered tools.
In an original experiment, we designed autonomous AI agents to manage a creative copywriting workflow, assigning roles such as account manager, editor, and fact-checker. The experiment highlighted critical challenges with AI-driven processes, including hallucinations and unpredictable behavior, and offered practical insights into where AI enhances—and where it undermines—content quality. We then packaged those results into a 3,000-word blog post published at WonderingAbout.AI.
Read the ArticleWe analyzed over 2,000 Reddit posts about artificial intelligence, applying custom machine learning workflows—including Hugging Face sentiment and emotion models—to explore professionals' authentic views about AI. Our analysis uncovered that 32% of conversations express uncertainty, and that the most prevalent emotional themes were curiosity and confusion.
Read the AnalysisWe collected and systematically analyzed more than 400 headlines related to AI and job displacement. Our research revealed a significant gap between sensational media narratives and actual industry impacts, showing how individual CEO statements are quickly amplifed by media outlets while stories about AI implementation challenges and re-hiring initiatives are less frequently shared.
Read the AnalysisAfter working with AI-written drafts that were full of incorrect citations and unsubstantiated claims, we decided to fight fire with fire by building an AI-powered fact-checking tool. Writers upload an MS Word-formatted draft and get back a detailed report that includes the status of all embedded links, a list of uncertain and unsupported claims, and an overall credibility score.
Try the ToolTo address common issues in AI-generated copy, we developed the SHARP framework: Spot hallucinations, Hone voice, Add insights, Read aloud, and Perform a final review. Our detailed guide includes practical before-and-after examples, offering clear steps to ensure AI-assisted content remains authentic, accurate, and engaging.
View the FrameworkPrior to launching Good Content, founder Karen Spinner was Director of Content Services at The Argonaut, a full-service creative agency that closed its doors in April 2025. At The Argonaut, Karen personally created strategic, fully human-authored content for leading technology brands including Adobe, Confluent, HP Enterprise, and more.
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