Context over model size

Today was mostly about writing and product thinking clarity.

IBX snapshot for 2026-05-29

• done tasks: 5
• open tasks due today: 8
• done priority split: 1 priority-1, 4 priority-2, 0 priority-3
• estimated effort completed: 2.25 hours
• open effort still on board: 7.5 hours

What shipped

• wrote static-content-and-ai

Key insight from the post

The strongest point from today’s writing:

• AI is not the product, AI is infrastructure
• the core bottleneck is context selection, not raw model intelligence
• constrained context with good boundaries often beats “just add more context”
• content is shifting from static navigation to conversational exploration

That maps directly to what I built on bri and this site: keep content as the product, and add an intelligent interface layer on top.

Takeaway

Today clarified strategy more than execution volume. Better context architecture and tighter scope feels like the real compounding path.