Protected AI Case Study

Internal AI Assistant Platform

Public visitors can see the high-level assistant platform work on the homepage. Employers can unlock the architecture detail for agent routing, retrieval, policy-gated tools, cost controls, and evaluation loops built with an enterprise orchestration framework.

Non-confidential review material

All diagrams and examples are generalized, recreated, and sanitized for public demonstration. They do not include proprietary code, internal documents, private data, or confidential implementation details.

Agent route matrix Policy gates Safe tool replay

Deeper architecture pages are available to employers and interviewers on request.

assistant.route.preview

The unlocked page shows how the agentic assistant chooses retrieval, tools, or refusal safely.

01 Agent route decision matrix

Questions are classified into answer-only, retrieval, tool-action, or escalation paths.

02 Policy-gated tools

Approved APIs are called only after schema checks, permission checks, and audit capture.

03 Cost + eval loop

Caching, token tracking, model tiering, and automated evals keep quality and cost visible.