Multi-tenant AI: what you can't fake when you have 50 customers
Single-tenant AI hides bad architecture. Multi-tenant AI exposes it. Six things that compound across a tenant set and cannot be deferred.
Financial services AI: four constraints that reshape the architecture
Generic AI patterns break in financial services. Four constraints (audit, residency, adversarial input, risk asymmetry) reshape architecture from day one.
Most multi-agent systems are sequential pipelines wearing a costume
Most 'multi-agent' systems are sequential pipelines with role-play prompts. Three diagnostic questions to tell the difference.
What to instrument when your AI degrades in production
Most AI systems fail silently. Latency dashboards say 200 OK while quality drifts. Here is the four-layer telemetry stack that catches it.
Beyond Demos: Building AI Systems That Actually Work
Most AI projects fail in production. Here's why the gap between demo and deployment is where real engineering begins, and what production AI actually requires.
The AI Observability Gap: What You Can't See Is Costing You
Most AI systems run without meaningful monitoring. Learn the four dimensions of AI observability and how to build the monitoring infrastructure that makes optimization possible.