From the team
Blog.
Notes from the team on the documentation problem, keeping your knowledge in your own hands, and the thinking behind how we build. Occasional, honest, and to the point. RSS.
More from the team
- Guides
Most access risk isn't a hacker. It's a missing procedure.
Most access risk starts with a missing procedure, not an attacker. Why standardizing how you grant and remove access shuts down over-provisioning and the accounts that outlive the people who had them.
- Guides
How to Build an IT Runbook When Nothing Is Documented
You inherited an IT environment with no diagrams and no procedures. Here is a prioritization framework for what to document first, and a worked example of a runbook entry.
- Behind Notavi
SaaS isn't dead. It's finally being forced to earn its keep.
AI didn't kill the software that does real work; it raised the bar for it, and the tools that turn raw capability into something anyone can rely on every time have never had more room to run.
- Practices
The option you didn't know you had
The first solution that works is rarely the only one. On weighing every option, and using AI to widen the list, even when it's wrong.
- Practices
Naming things well is a security control (and a productivity one)
For a small team pulled in ten directions, the thing that quietly makes or breaks you isn't budget or tooling. It's organization. A practical case for naming conventions, standardization, and the cleanup everyone skips.
- Guides
SOPs vs. Processes: What's the Difference (and Why Your Team Needs Both)
SOP vs. process: what's the difference? A plain-English guide for small teams, plus how to capture both without writing a word from memory.
- Behind Notavi
Why we built Notavi
The task takes twenty minutes. Writing it up eats your afternoon, so it never gets done, and the knowledge stays stuck in one person's head. That's the problem we set out to fix.
- Privacy
Your procedures should live in your storage, not ours
Why we made Notavi keep your library in storage you already own, what that actually means in practice, and the honest nuance about where AI fits in.