Featured recipe
Your first AI workflow that actually ships
A practical guide to moving from a clever demo to a dependable tool your team will use.
Practical AI for MSPs
Field-tested recipes, honest lessons, and practical playbooks for building AI inside a modern managed service provider.
Featured recipe
A practical guide to moving from a clever demo to a dependable tool your team will use.
The recipe box
Short on theory. Heavy on things you can try with your team this week.
Turn scattered ideas into a focused backlog of useful, measurable AI work.
Start with the repetitive work, preserve human judgment, and measure what changes.
A simple offer that helps clients move from curiosity to a responsible first project.
Before you start
Three ingredients we keep on the counter for every AI project.
Find the frustrating workflow before reaching for the newest model.
Build judgment, review, and accountability into the way the tool is used.
Decide what better looks like, then check whether you actually made it.
Fresh from the kitchen
The honest version of building AI at an MSP—decisions, mistakes, and what held up in production.
From the field
Strong opinion
What I learned
Why Cooking Up AI?
We’re Anthony Latham and Graham Rosenberg—two Sourcepass operators working through the practical questions that appear when AI moves from slide decks into service delivery.
This is where we share the playbooks, patterns, failures, and strong opinions we wish we had when we started. Everything here is for people with clients to serve, teams to support, and no appetite for empty hype.
Meet the people in the kitchen →