Why most agent demos die in the lab — and the architecture choices that get them into production.
AI AgentsArchitecture
The demo trap
Most AI agent demos look magical and then quietly disappear. The gap is rarely the model — it's the system around it.
What production agents need
- Clear tool boundaries and permissions
- Evaluation harnesses, not vibes
- Guardrails, retries, and graceful fallbacks
- Observability so you can debug failures
A simple rule
If you can't measure whether the agent did the job, you don't have an agent — you have a chatbot with extra steps.
Let's build your first automation
A 30-minute call: your workflow, where AI actually fits, and what it would take.
