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Working martech recipes, filtered by readiness, outcome, vertical, time to value, and (behind more filters) KPI, stack archetype, and regulatory context. 78 recipes in the cookbook today.
Audit the personalization models for systematic bias in who they exclude, accelerate, or under-serve, so the model's behavior is defensible per protected category and per business-sensitive segment
Use probabilistic signals when deterministic identifiers are absent, carrying the confidence bound forward so the systems acting on the match know whether they are reading a high-confidence resolution or a guess
Give the AI a memory of each customer that is curated and decaying, not a raw event firehose it cannot use and should not keep