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Articles

30 practical materials in the canonical knowledge base.

Found: 5 of 30
AI AgentsCore · 9 min

Codex subscription vs API: choosing access, billing, and automation

A practical comparison of Codex through a ChatGPT plan versus your own OpenAI API key across billing, identity, limits, local and cloud tasks, CI, governance, observability, and migration.

Codex subscription vs APICodex ChatGPT plan vs API keyCodex CLI billing
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AI AgentsCore · 8 min

Claude Code subscription vs API: choosing access and billing

A practical comparison of Claude Code through Pro, Max, Team, or Enterprise and token-based access through Anthropic Console or a cloud provider across billing, identity, limits, automation, observability, and exit readiness.

Claude Code subscription vs APIClaude Code Pro vs APIClaude Code billing
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AI AgentsAdvanced · 8 min

AI agent harness: how to design a reliable runtime

A practical guide to AI agent harnesses: execution loops, tools, sandboxes, durable state, context assembly, permissions, checkpoints, evals, observability, and recovery for long-running tasks.

AI agent harnessagent harness architectureagent runtime
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AI AgentsAdvanced · 8 min

OpenAI Responses vs Claude Messages vs Gemini Interactions API

A practical comparison of the main OpenAI, Anthropic, and Google APIs for production AI: state, tools, streaming, background jobs, portability, evaluation, and migration controls.

OpenAI Responses API vs Claude Messages APIGemini Interactions API comparisonLLM API comparison
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AI AgentsCore · 5 min

Human-in-the-loop for AI

A practical production architecture for human oversight: involve a person at a specific risk point with enough context for real, not ceremonial, control. Covers contracts, authority boundaries, failure modes, evaluation, and controlled rollout.

human in the loopAI approvalAI oversight
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