Starting another SaaS in 2026 is a strange thing to do. The discourse says the category is saturated, that AI flattened every moat, that the only things left worth building are wrappers around a frontier model with a nice landing page. I read those takes and I mostly agree with the diagnosis and completely disagree with the conclusion. The wrappers are exactly what dies first. What's left is the boring, hard-to-copy infrastructure underneath — the multi-tenancy, the billing, the cost control, the secrets handling, the idempotency across redelivery — and that work has not gotten cheaper just because the model got smarter.
This is the story of building one of those. It's called Aulinq. It's a multi-tenant, multilingual AI agent platform: the thing that answers a customer on Telegram, WhatsApp, or web chat, routes the conversation through the cheapest model that can actually handle it, charges the tenant per token in fractions of a cent, and keeps every tenant's data and secrets walled off from every other tenant. Three product tracks sit on top of that plumbing — a white-label path for agencies reselling agents to their clients, an API for startups embedding agents in their own product, and a single-tenant onramp for a solo founder who just wants a working bot without the infrastructure PhD. The production system is several Go services, one Postgres, one Redis, and a NATS JetStream bus. I am the only engineer, and I have a full-time job.
