Field Lab · Start here
What the Field Lab is
The AI Runtime Field Lab studies how AI systems move from demo to deployment, by turning real field problems into scoped builds, reliability bars, evals, artifacts, and public reports. It is run by The AI Runtime, the publication and community for engineers shipping AI to production.
The premise
AI systems rarely fail because the demo could not produce an answer. They fail because the surrounding system cannot handle stale data, weak evidence, conflicting sources, policy boundaries, permissions, cost, latency, escalation, and ownership.
Most writing about this is either vendor marketing or war stories with the details removed. The Field Lab takes the third path: do the work in public. One real problem at a time, a bar anyone can check, and every artifact published.
The pipeline
- 01
Problem
A real, production-shaped problem from a founder, operator, or engineer, logged in the Problem Bank.
- 02
Brief
The problem, scoped: constraints, success criteria, and a public bar for what counts as solved.
- 03
Lab
A hands-on build against that Brief, scored against the bar at a workshop.
- 04
Report
The teardown of what was built and what it scored. The builder keeps the proof.
Problems queue in the Problem Bank. Builds run as Investigations. Reusable pieces land in Artifacts. Teardowns land in Reports. And the people who do this work for a living talk about it in Field Notes.
How to use it
You do FDE or applied AI work
Serious field problems and sharp technical taste.
You are a founder or operator
Help with a real AI workflow problem.
You are a builder or engineer
Portfolio-grade projects with a real bar.
You are a hiring manager or recruiter
Proof someone can do field engineering work.
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