Current System

Article Studio

Azure-Based Agentic AI System

An agentic content-operations workflow for research, outlines, drafts, review, metadata, media, and publishing support.

An Azure-based agentic AI system designed to remove the content bottleneck across multiple web properties.

Article Studio is built as a repeatable content operations system rather than a one-off prompt tool. It coordinates research, outlining, drafting, review, metadata, media handling, routing, and publishing support for a growing family of web properties.

Agentic workflow design Content operations Azure-backed automation
Stack

Core build story

Article Studio shows applied agentic AI in a business workflow: it turns content production into a managed pipeline with repeatable stages, product context, and integration points for downstream applications such as TherapyLink.AI and MyOliveOil.

Azure, ASP.NET Core, agentic workflows, content services, PostgreSQL, telemetry
  • Research, outline, draft, review, metadata, media, and routing stages
  • Reusable instructions and quality controls
  • Publishing support across multiple connected web properties
AI systems

Practical AI approach

The agentic layer is structured around staged work: gather context, shape an outline, draft, review, enrich metadata, select media, and prepare publication. The goal is controlled autonomy: useful AI throughput with reusable instructions, quality checks, and human judgment still in the loop.

  • Higher content throughput
  • More consistent editorial process
  • Clear proof of applied agentic AI
Why it matters

Portfolio signal

It demonstrates that agentic AI can solve an operational problem: producing and managing useful, brand-aligned content without turning every article into a bespoke manual process.