AI that ships: integrations over demos

Demos impress. Production systems persist.

Treat models as unreliable subordinates: validate outputs, budget latency, log prompts and versions, and give humans an escape hatch. The winners are teams who productize the boring reliability layer.

On this site, portfolio AI search is separate from tenant AI inside MSH OS workspaces. That boundary matters — public crawl data is not the same trust model as private CRM context.

When you embed AI in a product, document what is automated vs reviewed. Editorial pages on this domain follow the same rule: assistance is allowed; accountability stays human.