Demos are signals, not evidence
A working demo tells you something is possible. It does not tell you it is reliable, affordable, or maintainable in production.
Track lead — Evaluation, Governance & Auditability →Why this note exists
This note captures a technical observation from Yuauri's AI engineering work: tool evaluation, implementation planning, risk review, architecture decisions, or execution patterns. It may later become a full tool evaluation, implementation playbook, or internal delivery pattern.
We treat demos as signals. They are useful for narrowing the search space and for learning what a tool can do under favourable conditions.
They are not evidence of implementation readiness. The variables that matter — tail latency under real load, cost behaviour at scale, failure modes during outages, operator ergonomics at 3am — are rarely present in a demo environment.
Our evaluations always separate the demo signal from the engineering evidence. The Radar status reflects the second, not the first.