Synthetix AI Workspace

The Corporate Challenge

The client required an enterprise-grade prompt-chaining playground allowing massive team collaboration on LLMs. The core engineering bottleneck was resolving clunky latency shifts during long multi-agent iterations and avoiding massive API overhead billing.

Our Engineering Solution

We engineered an edge-rendered Next.js framework, establishing standard Redis semantic caches. If a teammate sends a query structurally similar to a cached vector, the cache resolves it instantly without querying external model APIs, dropping billing metrics by 60%. We synced canvas elements with zero-latency webSockets.

Outcome & Metrics

Increased prompt generation speed by 3.2x, reduced token API overhead costs by 60%, and successfully supported the startup through their $15M Series A round.

Architectural Stack