What happens when you apply instructional systems thinking to your own workflow, and automate the entire stack with Claude Code. Daily briefs, Canva generation, research pipelines, analytics. None of it required a developer.
A full tour of the automated content operations dashboard, from the morning brief that synthesizes email and calendar, to the Sunday night analytics report that generates itself.
I spent several weeks automating my entire content operations stack with Claude Code. Every piece of it (the daily brief, the content generation, the research pipeline, the analytics) maps directly to problems learning designers face every day. None of this required a developer. It required systems thinking, which is exactly what we already do.
Each automation has a direct L&D parallel: the same logic applies whether you're managing content or managing learning operations.
Every morning: top emails, calendar events, and Notion projects, synthesized into one prioritized brief. No context switching before coffee.
A project status digest. Client deliverables, SME review threads, LMS feedback: one view, every morning.
A Notion queue feeds Claude Code every Sunday. It opens designated Canva templates, builds every carousel marked ready, and marks them done. Monday morning, the content exists.
Job aids. One-pagers. Slide decks. If you have a Canva template and a content queue, this builds your materials while you sleep.
Three Apify scrapers run every Wednesday (Reddit, TikTok, YouTube) pulling what the audience is struggling with right now. Results go to Notion with a Perplexity report.
Needs analysis. Replace manual community lurking with structured scraping of forums, LinkedIn groups, and industry channels. Real pain points, updated weekly.
Every Sunday night, a performance report generates itself and surfaces inside the dashboard. No logging into apps. No manual data pulling.
Evaluation data. LMS exports, survey results, completion rates, piped into one place, automatically. Kirkpatrick Level 1 and 2 data that actually gets reviewed.
One single markdown file contains the entire brand guide: colors, fonts, tone of voice, writing rules. Every Claude Code session reads it automatically. Every output follows it. I wrote it once. It runs everything.
The actual dashboard, running the daily brief, research pipeline, and analytics reports on a real schedule.
open the dashboardThis is a working system, not a finished product.
Current reports surface top-level metrics. Next: trend analysis across weeks, content type performance, and audience growth patterns.
Research pipeline delivers raw findings. Next: AI-generated content briefs that connect audience pain points to specific content formats and angles.
Some steps still need manual triggers. Goal: fully autonomous pipeline from research insight to published content with human review gates.
Currently handles carousel templates. Expanding to video thumbnails, story templates, and long-form article layouts.
Code-driven video templates with Remotion and automated Canva carousel generation, from template to published content with no manual design work.
explore the experiment ← all experiments