Concepts

Stable reference for agent systems.

Concepts are an authoritative layer on top of the blog: definitions, tradeoffs, and mental models that stay useful as the product evolves. Use them to align teams, cite durable terminology, and connect Paper Compute to tapes, stereOS, and the rest of the stack.

Featured Pillar

Enterprise Inference Gateway: What It Is, Why You Need One, How to Build (or Buy) One — 2026 Reference.

Once AI usage spreads beyond a few teams, most enterprises either adopt or build a gateway-like control layer. Many start with a lightweight proxy or logging shim, then rebuild it once governance, policy, audit, and cost allocation become real requirements.

Read pillar → Updated April 29, 2026
Inference Gateway Platform Engineering AI Infrastructure Capture

In this cluster

  1. 01 LLM Proxy: Network-Level AI Request Capture and Policy Enforcement

    An LLM proxy is the primitive behind many AI platform-engineering capabilities: capture, replay, policy, telemetry, and cost attribution. It's a small piece of infrastructure with a large surface of consequences.

Updated April 1, 2026

Telemetry for Agents

A complete behavioral record so you can answer what an agent saw, what it decided, and why—not just whether a request failed.

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Telemetry Agents
Updated April 13, 2026

Agent Observability

Telemetry captures what agents do. Observability makes that record interpretable and actionable. Both are essential when agents run in production.

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Observability Agents
Updated May 19, 2026

Continuous Agent Improvement

A feedback loop: capture relevant sessions, analyze patterns, extract reusable artifacts, apply them to later runs, and measure whether outcomes improve. The model can stay the same. The system around it gets better.

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Improvement Agents
Updated May 19, 2026

Team-Shared Agent Knowledge

One engineer's breakthrough session is a dead artifact until the team can search it, replay it, and invoke the skill extracted from it. Team-shared knowledge is the infrastructure that makes that possible.

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Teams Knowledge Sharing

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