Preflight Checklist to Build and Run AI Agents

October 13, 2026 • 9 min read

Preflight Checklist to Build and Run AI Agents

A pilot-style preflight checklist for AI agents: capability leases, deny-by-default tools, evals first, attested MCPs and skills, cost routing, vendor-multi, reproducibility, and the rest of what must be true before takeoff.

Deterministic First: Where AI Authority Ends

October 12, 2026 • 11 min read

Deterministic First: Where AI Authority Ends

Where AI authority ends: a reference architecture for retrieval-backed, human-approved workflows, with three boundaries, a state contract, and a tested approval gate that rejects a recipient swap.

LLM Routing: Affinity, Caching, and Gateways

October 3, 2026 • 8 min read

LLM Routing: Affinity, Caching, and Gateways

How generative AI routing differs from load balancing: KV caching, model affinity, switching budgets, and when to use an inference router, an AI gateway, or both.

The AI-Native Cloud: The Agent Stack

October 2, 2026 • 30 min read

The AI-Native Cloud: The Agent Stack

A map of the AI-native cloud (managed agent runtimes, serverless inference, routing, caching, knowledge bases, evaluations, GPUs) followed by a product-by-product tour of what a full AI cloud offers, with illustrative pricing.

Decision Models: Jev and the End of Prompting for Classification

October 1, 2026 • 6 min read

Decision Models: Jev and the End of Prompting for Classification

Jev from TypeSafe AI understands language at a frontier level but never generates a token. It is a non-autoregressive decision model on DigitalOcean Serverless Inference that returns typed answers with calibrated probabilities. Here is how it differs from an LLM, with working API calls for all three question types.

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