The Model Filled the Form. Then It Overwrote the Field a Human Fixed.
Extraction quality is the easy conversation. The save is where a confident guess turns into the record everyone else trusts.
6 min
#ai-engineering
19 posts tagged “ai-engineering”.
The Smallest Eval Loop That Keeps an AI Feature Honest
You don't need a research team or a benchmark platform. You need real examples, a place to look at failures, and a habit you actually keep.
6 min
Designing AI for Offline and Low-Connectivity Environments
What I'm learning about building AI features that work when your users don't have reliable internet.
5 min
The AI Features That Win Are Usually Boring
Why the most useful AI features are often the ones that remove small operational failures instead of trying to impress people in a demo.
5 min
What a Good Automation Project Looks Like Before We Start
The pre-build checklist I use to define scope, readiness, ownership, and rollout before automating a workflow.
1 min
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
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
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