Projects
Case studies from real work. Each project follows the same format: Problem, Constraints, Approach, Results, Artifacts.
AI Insurance QA
ClaimEval
QA copilot that helps claims leaders review more files with higher consistency
Outcome: Faster QA cycles, clearer audit trail
AI DevOps LLM
Prompt Management Playbook
Versioned, testable, reviewable prompts as code
Outcome: Zero mystery breakages when prompts change
AI Architecture LLM
Agentic Context Builder
Turning messy inputs into reliable LLM work units
Outcome: Debuggable, composable agent workflows