How I Choose Tools for Production AI
How I choose the tools behind production AI systems based on observability, reliability, operational fit, and cost.
1 min
Writing · Page 2 of 4
Field notes on production AI, search, and shipping.
Operator notes with concrete tradeoffs: what I built, what broke, and what I’d do again. 40 posts and counting.
The 5 Most Expensive AI Automation Mistakes SMBs Make
Five execution mistakes that make AI automation projects expensive, brittle, and disappointing for SMB teams.
1 min
My AI Delivery Principles: Reliability, Observability, ROI
The delivery principles I use to keep AI projects reliable, observable, and tied to measurable business value.
1 min
Case Study: From Manual Process to AI-Assisted Workflow in 3 Weeks
How a manual, high-friction workflow was turned into an auditable AI-assisted process in three focused weeks.
1 min
When to Hire Me vs. Build Fully In-House
A practical framework for deciding when external help speeds delivery and when building internally makes more sense.
2 min
Consulting-Led, Platform-First: Why I Built SaaSy This Way
Why I used consulting work to shape product direction, reduce risk, and build a platform around real demand.
2 min
What I Ship in the First 14 Days
The concrete outputs I aim to deliver in the first two weeks of an engagement to create momentum and clarity.
2 min
How I Work With Founders as a Solo AI/Product Partner
How I help founders move faster with focused delivery, lightweight structure, and hands-on product and engineering work.
2 min
MockForge Architecture: How AI Features Integrate with a Rust-Based Mocking Framework
An architectural look at how MockForge adds AI-powered generation and sync features without sacrificing Rust performance.
4 min
Production Patterns: Integrating AI-Powered Mocks into Development Workflows
Patterns for fitting AI-powered mocks into real development workflows, CI pipelines, and production-like testing.
5 min