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