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Permission records, scattered Sorted into one table Human check Tableau permission auditIn production A monthly audit that was not realistic by hand, automated with Python, REST and GraphQL.
Under 1 hour of my time per monthly audit
In production A colleague runs it every month from the SOP I wrote.
See how limit −51% ! Usage climbs Alert fires before the limit Fixed: −51% in that workspace Power BI usage optimizationIn production Monitoring that remembers past 14 days, an alert in real time, then the fix.
−51% in one workspace 13% of total enterprise capacity freed
In production Colleagues maintain the report from the SOP I wrote.
See how New recording found Held until really finished One email, human publishes streamwatchIn production Finds each new recording, waits until it is really finished, and sends one ready-to-publish email.
~52 actions by hand per item, before automation
In production Weekly since August 2026, for one organization.
streamwatch Ready to publish New recording ready: Weekly Talk, Oct 9
thumbnail
Title Weekly Talk: Getting Started Date Thursday, Oct 9 Duration 58 min Embed link video.example/abc123
Your step: check the details, then publish.
The email it sends. Enlarge streamwatch Ready to publish New recording ready: Weekly Talk, Oct 9
thumbnail
Title Weekly Talk: Getting Started Date Thursday, Oct 9 Duration 58 min Embed link video.example/abc123
Your step: check the details, then publish.
Illustration with sample content.
Close See the repo AI maps the change We plan the transition Champions lead their teams New data platform, enabled with AICompleted 200+ colleagues moved to a new data platform with built-in AI, with AI bridging the SQL differences.
200+ colleagues champions now onboard their own teams
See how Usage spike detected AI drafts the alert Human reviews, then forwards Usage Surge Alert AgentDemo The capacity problem rebuilt as an AI workflow. Personal data masked before any model call.
Every send approved by a person first
Usage Surge Alert Agent Waiting for review Usage surge in a shared workspace
What the model saw Hi __OWNER_FIRST_NAME__ , usage in __WORKSPACE__ this week was 3.4x its two-week average.
What the person reviews Hi Sam, usage in Sample Workspace this week was 3.4x its two-week average.
A person reviews it, then forwards it to the owner.
The alert it drafts. Enlarge Usage Surge Alert Agent Waiting for review Usage surge in a shared workspace
What the model saw Hi __OWNER_FIRST_NAME__ , usage in __WORKSPACE__ this week was 3.4x its two-week average.
What the person reviews Hi Sam, usage in Sample Workspace this week was 3.4x its two-week average.
A person reviews it, then forwards it to the owner.
Illustration with sample content. The agent runs on synthetic data.
Close See the repo AI drafts the pages Human picks the keepers Print-ready files kdpgenOpen source Generative AI for Kindle Direct Publishing (KDP): an open-source pipeline that turns one JSON spec into print-ready book files. AI generates the art; a person picks every page.
Proofed in print output approved from physical proof copies
See the repo Build something real Write up the numbers Publish in public Automating MinOngoing Learning in public: AI automation write-ups with real numbers, plus the brand system and the self-built Claude skills that enforce it.
Build and learn in public
Read the series