01 · Agentic AI Framework EngineeringLab complete
Multi-Framework Agentic Evidence Lab
The same governed RAG workflow implemented four ways to compare framework behavior fairly rather than compare unrelated demos.
A completed Python engineering lab implementing a shared evidence-review workflow across LangChain, LangGraph, Strands, and ADK-style patterns with common schemas, tools, datasets, benchmark questions, trace envelopes, scoring rubrics, structured outputs, and human-review routing.
PythonLangChainLangGraphStrandsADKPydantic
02 · Agent Identity & AuthorizationValidated
Brokered Agent Delegation & Enterprise API Security
Secure cross-application agent action without broad standing privileges or independent superuser authority.
A deterministic Python implementation of user-bound delegation, OAuth 2.0 token-exchange concepts, OIDC claims validation, policy-as-code authorization, scoped delegated tokens, API-side enforcement, abuse-case testing, and evidence records for allow and deny decisions.
PythonOAuth 2.0OIDCPolicy as CodeRegoPytest
03 · LLM Quality & Release EngineeringLive
LLM EvalOps & Release Evidence Platform
Deterministic evaluation, RAG quality, safety red-team testing, regression gates, and fail-closed release evidence.
A production-style Python evaluation platform with provider abstraction, JSONL datasets, prompt boundaries, model comparison, RAG metrics, safety checks, experiment tracking, model aliases, CI gates, and a public release dashboard.
PythonPytestRAG EvaluationGitHub ActionsOpenAI AdapterJSONL
04 · Agent Identity RuntimeArchitecture
Zero Trust Runtime for AI Agents
Build-ready Agent Identity Broker issuing JIT, least-privilege credentials with deterministic OPA enforcement.
A FastAPI and OPA runtime skeleton for machine identity, structured intent, short-lived scoped tokens, and audit evidence at the agent-to-tool boundary.
PythonFastAPIOPAKubernetesJIT CredentialsMCP
05 · Agent InteroperabilityLab complete
MCP Interoperability Foundations Lab
Systems-thinking implementation path for standardizing how agents discover and invoke enterprise tools across platforms.
A focused learning lab explaining tool contracts, adapters, cross-platform routing, and the role of MCP in reusable enterprise agent integration.
MCPTool ContractsAdaptersAWSAzureSaaS APIs
06 · Enterprise AI IntegrationArchitecture
Enterprise AI Integration Architecture Lab
Enterprise AI gateway pattern connecting identity, RAG, policy, CMDB, ticketing, audit, approval, and observability.
A modular integration architecture for regulated enterprise workflows, showing how AI can retrieve context, evaluate policy, call systems, and create auditable evidence.
AI GatewayRAGCMDBTicketingPolicy EngineAudit Service