Work / 2025–2026

Agentic delivery practice for product teams

Codified a three-layer agent pipeline—context, roles, CI gates—so AI-assisted product work stays reviewable instead of becoming prompt chaos.

Personal open practice · enterprise pilots · Systems design · enablement

AI workflowEnablementDeveloper experience

Outcome

Validated ~53% token reduction vs baseline on the first production consumer; practice reused across multiple repositories.

Most teams don’t need another chatbot. They need repeatable AI-assisted delivery that respects architecture, design review, and accessibility.

I built and refined an agent pipeline: repo context, role-based subagents, convoy briefs, and sync manifests so improvements don’t drift.

That same practice underpins my consulting offer—workshops and implementation help for teams adopting AI without sacrificing craft.