Ai

A practical roadmap for AI-native iOS features in 2026: assistant workflows, trust UX, and operational reliability.

How books from my 2023 reading list shaped my approach to AI features, iOS product execution, and engineering leadership.

How reading Sapiens in 2025 sharpened my approach to AI product design, user trust, and long-term engineering decisions.

A practical evaluation stack for mobile AI features, from offline rubrics to production telemetry and rollback rules.

How I would structure a practical AI unit inside a product engineering team: scope, roles, cadence, and quality gates.

A practical framework I use to decide when AI should run on-device, in the cloud, or in a hybrid architecture.

My practical takeaways from WWDC 2024 announcements around Apple Intelligence and what they imply for iOS product teams.

How I integrated AI coding assistants into Swift workflows while keeping architecture, tests, and review quality intact.

Notes from my Q1 2024 reading list and how these books influenced iOS product thinking, AI evaluation, and leadership decisions.

Notes from my Nov-Dec 2023 reading sprint and how those books changed my approach to iOS reliability, AI product thinking, and team execution.