Start from a task the feature has to do, and a definition of wrong. Retrieval over your own content with a citation trail, so an answer can be checked. Guardrails, fallbacks and a measured cost per request. Where a model is not the right tool, we say so.
Everyone wants an assistant in the product, and most of them are a chat box bolted to a landing page that answers questions wrong with total confidence.
Start from a task the feature has to do, and a definition of wrong. Retrieval over your own content with a citation trail, so an answer can be checked. Guardrails, fallbacks and a measured cost per request. Where a model is not the right tool, we say so.
A feature that does a specific job, cites where its answers came from, degrades sensibly when it does not know, and has a cost per request you can forecast.
Training, fine-tuning, retrieval, agents, and knowing when not to.
A working prototype in 1 to 3 days. Training, evaluation and tuning run weeks to months, and a genuine research problem can run to eight. It depends entirely on your data and the target.
Web apps, SaaS platforms, APIs and the systems underneath them.
1 to 7 days for most builds. A platform with many moving parts runs weeks to months, and the largest have gone to eight. It depends on the scope.
Security review, automated usability testing, vulnerability scanning in CI, and the edge and bot policy that keeps a product reachable but not scrapeable.
Interactive fiction and character platforms, automated ad and video production, live streaming, and in-browser media tooling.
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