AI Workflow Automation
Building experiments around LLM-assisted workflows, structured outputs, and automation patterns that reduce repetitive business work.
Learned how structured prompts, deterministic outputs, and workflow design can turn AI from a chat experience into a repeatable business operation.
Going deeper into evaluation, guardrails, retriable orchestration, and where workflow automation can be made production-safe for client-facing systems.
Built internal experiments around content processing, guided assistant flows, and automation-first interfaces that reduce repetitive manual work.
Started testing structured-output workflows for automation use cases.
Built early assistant-like flows for repetitive operational tasks.
Refined the direction around safer orchestration and practical delivery.