Service · 15
AI Application Development
Full applications with AI at the core — chat, vision, voice and automation as product features.
How it's built
(1) Concept — AI feature-market fit, model selection. (2) Product design — UX around AI moments with a latency budget. (3) Full-stack build — app plus AI backend, streaming and caching. (4) AI QA — evals, abuse cases, cost ceilings. (5) Launch — usage analytics, prompt and model iteration.
Core fundamentals
- AI moments designed, not bolted on
- latency budgeted per interaction
- abuse and edge cases tested pre-launch
- unit economics known before scale
Build blueprint
Deliverables
- full application
- AI eval suite
- cost model
- analytics
Stack
BuildShipLLMsFlutterNext.js
Custom quote