Field notes on getting useful marketing work out of Codex and Claude Code, the two coding-agent clients currently tested with DistributionOS.
AI agents can produce words faster than you can judge whether they are useful. Give them durable context, evidence, and separate review gates before they draft or publish.
Read the postYour link preview is a small pitch inside somebody else’s feed. Give it one audience, one promise, one supporting visual, and one clear next step.
Read the postChoose among direct agent prompting, specialist tools, or durable distribution context, then run one small loop from buyer problem to a shipped, measurable asset.
Read the postA crawler request, an AI mention, a citation, a referral click, and a customer are different signals. Here is what each one proves and what it cannot prove.
Read the postThe model is usually not the problem. The problem is that marketing work starts from a blank prompt instead of durable distribution memory, so an implementation detail can become the whole strategy.
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