Scaling AI on a Shoestring – Edge AI, Small Models & Token Economics

​Are you using GPT-4o or Claude Sonnet just to format JSON, classify intent, or summarize basic text? You're bleeding runway. Routing 100% of your traffic to frontier models works in a demo, but scaling requires a Hybrid AI Stack.

​I'm hosting a live webinar: Scaling AI on a Shoestring
Edge AI • Small Models • Token Economics

In this session, we'll break down:

01 — Token Budget Optimization
RAG strategies, prompt caching, and semantic routing to cut API bills by 80%.

02 — Local & Edge AI
Running quantized open-source models on client devices or low-cost infrastructure (Ollama, vLLM).

03 — Hybrid AI Stacks
Routing simple tasks to cheap/fast local models vs. frontier
models (GPT-4o / Claude Sonnet).

Cut inference costs. Reduce latency. Scale smarter.

INVITATION-ONLY WEBINAR • LIMITED SEATS