Plan iOS AI features with Apple Foundation Models: on-device vs Private Cloud Compute, availability checks, context limits, Swift integration, and real costs.
What Apple and Google's Gemini partnership confirms—and what it doesn't. A CTO guide to model technology, hosting, iOS integration, and product architecture.
Most products don't need a rebuild to get useful AI. Where the feature plugs in, what we check before coding, and what each stage costs, from $2,000.
Plan for AI model outages, retirement, and access restrictions. A CTO guide to tested fallbacks, model portability, capacity planning, and graceful degradation.
A practical CTO guide to AI agent governance: scoped permissions, human approvals, prompt injection controls, audit logs, rollback, and a production test checklist.
Assess OpenAI, Anthropic, and other AI providers with a practical checklist for contracts, data retention, model changes, total cost, and vendor lock-in.
Control AI agent costs with per-task budgets, shared spending limits, retry caps, and tool accounting. Includes worked costs and a practical enforcement design.
What does a 1M token context window mean for coding? Compare long context vs RAG, calculate API costs, and plan reliable code reviews and legacy migrations.