A business brain is not another chatbot
A field guide to the context, permissions, and feedback loops an AI system needs before it can become useful at work.
Publisher and author
Moez builds automation and operational AI systems, then writes about the operating decisions that make them useful, reliable, and safe.
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A field guide to the context, permissions, and feedback loops an AI system needs before it can become useful at work.
A practical measurement model for teams that care about relevance, conversations, and reputation instead of activity theater.
Retries, idempotency, alerts, and ownership: the unglamorous details that keep automations from becoming liabilities.
A decision framework for choosing software without ignoring integration cost, operational risk, or exit options.
A practical control model for moving from answers to actions without giving a model more authority than the job requires.