Hands-on tools that put AI integration into practice. Small, focused language-model assistants built to solve real engineering problems across the collaboration and networking stack.
Each tool is a tightly scoped assistant — built for a specific engineering problem, not a general chatbot. The flagship is live and interactive; two more are in development.
A lightweight Small Language Model assistant for Webex Calling and Contact Center. Explore configuration questions, troubleshoot flows, and plan migrations — with a full build approach (HLD, LLD, reference code) for both hosted-API and local-model paths.
Open the Demo →More tools are in development — this hub grows as each one is built and validated.
Each tool here is scoped deliberately — tight prompts, retrieval-grounded context, or a fine-tuned model trained on domain data. Narrow scope means higher accuracy and lower cost for the engineering problems that matter.
Every tool is built with a zero-API-key-in-the-browser rule. Edge proxies hold secrets. Rate limits and token caps bound the cost. The SLM for Webex demo is scripted — zero API calls, zero cost to share.
Demonstration scope. All tools are AI-assisted demos. Validate independently before any production use — see the disclaimer on the main portfolio page.
Edge AI, AI Observability, and AI Network Design guides are in the AI Networking domain.