Build & Engineering
We build Claude into the product your customers use: production-grade AI features that hold up on the open internet. We've shipped this before — indoor event wayfinding and retail virtual try-on.
Scope this with usLatency budgets, token streaming, graceful fallbacks, and tone — engineered so it feels like product, not demo.
Prompt-injection defence, content filtering, and rate controls — the open internet tests your feature harder than QA ever will.
Usage, drop-off, and cost per conversation instrumented at launch, so the feature earns its roadmap slot with evidence.
One user job, one feature, explicit quality bars. Scope agreed before anyone writes code.
Production build behind feature flags, red-teamed against adversarial input before customers see it.
Prompts, guardrails, and UX tuned against real customer conversations, not synthetic test sets.
Prompt-injection defence, content filtering, rate controls, and adversarial testing before launch, plus fallbacks and streaming so it feels like product, not a fragile demo.
Yes — indoor event wayfinding (Prism Events) and a retail virtual try-on are both live in the field, not slideware.