For data and marketing teams
AI agents for data and marketing — anomalies surfaced in minutes, not days.
Marketing data is fragmented and attribution is messy. We build agent pipelines that unify attribution events, flag anomalies in spend-vs-conversion within 15 minutes, and auto-draft root-cause briefs straight into the channel owner's Slack. Campaign QA goes from a reactive weekly scramble to a proactive always-on signal.
Further reading · Data analytics & marketing
2026-04-09
KPIs for business owners: the 3-layer metric stack we build every dashboard on
Most dashboards fail for three reasons — too many metrics, vanity numbers, no baseline. The practical framework we use to cut 40 metrics down to one north-star plus 3–6 input KPIs, and how an AI agent can flag anomalies in under 15 minutes.
2026-04-03
AI SaaS moats: 3 defensible loops most founders skip (and a 6-month playbook)
Having GPT is not a moat — every competitor has GPT. The three loops that actually keep you ahead: workflow data only your users generate, an eval harness that compounds, and orchestration that lives inside customer workflows. Plus a month-by-month playbook to build them.
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