Agents can generate code, but getting it right for your system, team conventions, and past decisions is the hard part. You end up wasting time and tokens in correction loops. More MCPs, rules, and bigger context windows give agents access to information, but not understanding. The teams pulling ahead have a context layer to give agents exactly what they need for the task at hand. Join us for a FREE webinar on Oct 7 to see where teams get stuck on the AI maturity curve and why common fixes fall short. A context layer solves for quality, efficiency, and cost. Live demo: the same coding task with and without a context layer. If you want to maximize the value you get from AI agents, this one is worth your time. Register now.

This week’s system design refresher: Top 9 Places to Use Jev. Jev is Type Safe AI’s first System One Model. It is 100x faster and cheaper than frontier LLMs. That opens up a lot of use cases people usually skip because the big models are too slow or too expensive. Here are the top 9 places to use Jev instead of an LLM: Model routing, Guardrails, Gating tool-calls, Triage inbox, Reranking, LLM evals, Bulk labeling, Real-time decisions, Confidence gate. The bottom line is to use the LLM for generations and use Jev on the decisions around it.