AI Agent Hosting - Peter Jonathan Wilcheck
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Model Independence: How to Avoid Vendor Lock-In for AI Agents

Most teams pick a model provider the way they pick a phone carrier: sign up, build everything on the native SDK, and discover the switching cost eighteen months later. In 2026 that habit is expensive. Frontier models trade the lead every few months, prices on equivalent work fall 60–80% within a year, and your agent.. Read more
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Multi-Agent Orchestration Layers: What to Look for in AI Hosting

A single AI agent that books meetings or drafts emails is easy to host. The moment a business puts five or ten specialized agents to work together — a researcher, a coder, a reviewer, a compliance checker — hosting stops being about running a model and starts being about running a system. That system needs.. Read more
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Agent Observability: The Non-Negotiable Layer of AI Agent Hosting

Agent observability has become the deciding feature of AI agent hosting in 2026. A practical look at tracing, evaluation, governance, OpenTelemetry standards, and what to demand from a hosting platform before your agents go to production.

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Serverless vs. GPU-Dedicated Hosting: Choosing Infrastructure for AI Agents

The infrastructure you run an AI agent on shapes everything downstream: latency, cost, and how far it scales before it breaks. Two hosting models now dominate the conversation. Serverless GPU platforms spin capacity up and down on demand, billing you by the second and charging nothing when idle. GPU-dedicated and always-on platforms, by contrast, keep.. Read more
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