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AI platforms

The shared foundation an organisation builds AI on: model gateways, agent runtimes, governance, observability, and the operating model around them.

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Agents, Inference
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  1. 2026

  2. The Bill Is Part of the Loop

    Every model response already carries its own bill in the usage field, and the loop throws it away. This post reads that field, prices it against a table, and turns cost into a value the loop can see per turn and act on: a metering decorator that needs no loop change, a running ledger, prompt-cache accounting that moves the number the most, and a budget that degrades before it stops. Part eight of The Agent Platform Handbook.

    AgentsAI platformsEconomicsObservabilityMetricsTypeScript

    10 min
  3. The Model Is a Dependency

    Every layer of the harness has existed to put the right tokens in front of one hardcoded model string. This post pulls that string out and makes the model a dependency: why you route a cheap model for easy turns and a strong one for hard turns, what a fallback looks like when a provider is down, and why 'models are commodities' is a claim about your architecture before it is a claim about the market. Part seven of The Agent Platform Handbook.

    AgentsAI platformsInferenceReliabilityEconomicsTypeScript

    14 min
  4. What an Agent Actually Is

    AI agent is the most overloaded word in the industry. This is the anatomy, the lineage, and a working implementation in roughly two hundred lines of TypeScript on Bun. Part one of The Agent Platform Handbook.

    AgentsAI platformsTypeScript

    19 min