product-building-agents

Security review checklist for AI SaaS products — OWASP Top 10 plus AI-specific threats (prompt injection, jailbreaks, system-prompt extraction, indirect injection via memory or uploads). Vendor-agnostic.

How to design multi-phase conversational AI flows that feel psychologically coherent — phase definition, transition signals, persona/voice consistency, and avoiding tone-bleed between sibling products on shared infrastructure.

How to keep a fleet of sibling SaaS products consistent — what counts as "core" vs "product-specific", how to backport bug fixes and infrastructure changes cleanly, schema migration coordination, and the consolidation-vs-duplication call.

How to build one design system that powers multiple sibling products with distinct brand identities — token layering (shared + brand-specific), dark glassmorphic patterns done accessibly, and motion as brand differentiation.

How to build in-product ad operations — abstracting multiple ad platform APIs behind one interface, programmatic AI video/image creative generation, channel-level budget allocation, creative rotation on performance signals, and admin-dashboard telemetry. Vendor-agnostic.

Patterns for the backend foundation of multi-tenant AI SaaS — auth provider + JWT to DB handoff, row-level security policy patterns, payment-provider webhook idempotency, credit-based billing with auto-refund, and admin allowlists. Vendor-agnostic.

How to architect a conversational voice AI pipeline — ephemeral per-session agents with injected context, streaming STT, post-call memory/goal extraction, and audio failure handling. Vendor-agnostic.