What we have learned building these systems, written for the engineers and technical leads who have to make the same decisions. No predictions, no thought leadership.
Working draftsThese pieces are written but not yet published, so they carry no publication date and no byline. Both appear once the studio signs them off — showing an invented date would be the easiest thing on this site to fake and the least worth faking.
Confidence scores tell you how certain a model is. They tell you nothing about what it costs to be wrong — and those are different questions that production systems keep conflating.
Most RAG systems that disappoint are not failing at embedding. They are failing at everything that happens before and after it — chunking, ranking, and knowing when to return nothing.
An evaluation set written before implementation is a specification. Written afterwards, it is a description of whatever the system already does.
Queues, idempotency keys, timeouts and audit trails are what separate an agent demonstration from an agent a business can rely on.
We like ambitious problems — the ones with awkward constraints, messy data and a real cost attached to getting them wrong. Tell us what you are building and what makes it hard.