Practical guides on grounding guards, tenant isolation, RAG architecture, and what an AI MVP actually costs.
Real 'from' pricing for a production AI MVP in 2026 — feature add-ons, full builds, and multi-tenant platforms — plus what actually moves the number.
Remote engineering is normal now. The question isn't where your AI team sits — it's how you verify the work when you can't watch it happen.
Most AI demos fall apart the week they meet real users. Here's the engineering practice that makes the difference between a demo and a system that survives production.
A tenant_id filter is a convention every engineer has to remember, forever. Here's how a session variable, a bleed-guard, and a positive-control test turn isolation into something the database enforces instead.
A model that's told not to invent numbers can ignore that instruction silently. Here's how a grounding guard checks every number against what the system actually computed, and rejects the rest.
Parsing citations out of a model's own prose trusts the same fallible process twice. Here's why citations have to be built from what retrieval actually returned, not from what the model claims it used.
Three weeks of build, one week testing against real users, and a hard line on what a tight deadline is and isn't allowed to cut. Here's what actually happens inside a four-week AI build.
Tell the two architects who'd build it what you need, and they'll tell you plainly what it takes — no sales deck, no pressure to sign anything.