The Day I Stopped Typing Code and Started Shaping the System
A first-person case study of an internal Slack coding agent, and why policy files, risk tiers, quality gates, and human approval—not the model—made delegation reliable.
Practical field notes
AI notes that hold up in repeated work.
Examples for lead follow-up, onboarding, reporting, proposal writing, support triage, meetings, and workflow audits.
Related articles
Articles connected to this path
The AI-native company does not exist yet
AI inside a product is not the same as an AI-native operating model. Current research shows the gap—and why the first 90 days should remake one workflow end to end.
Why call center calls stay high even after adding an AI chatbot
AI chatbot usage can rise while call volume stays flat. The missing link is usually task completion, abandoned chats, weak handoffs, and repeat contact across channels.
AI workslop: why polished AI reports can make teams busier
Why polished AI reports can create more review work, and how to spot weak sources, vague logic, hidden cleanup, and false confidence.
AI automation works better with Markdown work instructions than longer prompts
Markdown work instructions make AI automation easier to repeat: scope, inputs, output contract, checks, stop conditions, and update rules in one reusable file.
The 9 Seconds an AI Agent Deleted a Production Database
A practical look at the nine-second production database deletion incident and what it says about permissions, tokens, backups, logs, and rollback.
What you will find
Use this page to choose the next practical step.
- 01Work Cards
- 02Order Of Use
- 03Quality Checks
- 04Related Templates