Practical takes on AI automation, SaaS, MVP development, and the engineering decisions behind the products we build.
Most AI agents are great demos and terrible products. Here's what agentic AI actually is, why agents break in production, and the patterns we use to make them reliable enough to ship.
A look inside our MVP development process: how we compress months of work into weeks without cutting corners that matter, architecture, code quallity and product scale past 500 users.
Sign and print shops keep the Excel calculator because it encodes how they price. The fix is a better front end around it, not a subscription to someone else's model.
Estimate-versus-actual by category needs a job register and a variance view fed by the tools you already use, not an ERP. What the small system looks like.
The signs a multi-location service business has hit GoHighLevel's limits, and why the answer is an operations layer beside it, not a switch to another CRM.
Why the whiteboard and the WhatsApp group stop working, what a role-based job-tracking system with QR scanning looks like, and what it costs to build.
Two real lead-routing builds, one on n8n and one on Make, and the rules we use to pick between the three on cost, branching, AI steps and failure handling.
Three ways to get the numbers out of Odoo and onto one screen, what each costs, and the single question that tells you which one you need.
Let's talk about how AI automation and custom software can move your business forward.
