How AI shopping assistants choose which products to surface
A practical look at how AI assistants and answer engines read product data — and how to structure your catalog so your products get found.
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Practical tutorials, checklists, and teardowns across three tracks: AI ecommerce automation, production SaaS, and application security. New posts land twice a week. Subscribe via RSS.
A practical look at how AI assistants and answer engines read product data — and how to structure your catalog so your products get found.
The gap between a prototype and a production SaaS — auth, billing, databases, Docker, TLS, CI/CD, monitoring, and backups — and how to close it.
Why consistent product fields make your catalog legible to search engines and AI assistants, and where to start cleaning.
Signature verification, idempotency, and retry handling for subscription billing, so webhooks never double-provision.
Direct and indirect prompt injection, and the defensive patterns that reduce the risk in AI features.
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