The Process Is the Demo: How I Automated My Own Content Workflow With Claude and Connect AI
Blog post from CData
A content-operations workflow for converting monthly blog requests and SharePoint-based briefs into Asana tasks evolved over six weeks from guided, LLM-driven experimentation into a hybrid production system. Using CData Connect AI, Claude initially explored Asana, Excel Online, and SharePoint through MCP, matched briefs to requested topics, assessed editorial quality, and created tasks, but recurring failures involving date calculations, template overwrites, document searches, and link formatting led to explicit rules and guardrails. The mature workflow now uses scripts and Connect AI’s REST API for predictable steps such as task creation, business-day scheduling, assignments, template preservation, and link handling, while retaining Claude for contextual editorial decisions such as evaluating brief quality and replacing competitor citations with suitable third-party sources. The account argues that exploratory use of LLMs helps reveal failure modes that can later be codified, and that shared governed connectivity between MCP and API interfaces makes it easier to move workflows from discovery to repeatable execution without eliminating human review or judgment.
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