A direct service breakdown of Workflow Systems, covering when a team needs workflow repair, how the engagement runs, and what changes when the execution system is rebuilt.
A context-architecture essay arguing that proactivity is really long-horizon reaction, and that AI workflows start to feel proactive when their input window gets wider.
A founder-consulting note on the early disqualifiers that show when a consulting engagement is asking for validation, avoidance, unavailable teams, or pre-written execution.
A consulting methodology post on the five scoping questions that reveal problem clarity, decision ownership, urgency, team readiness, and engagement fit.
A benchmark guide for judging whether an AI workflow is holding six weeks after implementation, using re-briefing, consistency, failure diagnosis, and maintenance as signals.
A companion note on turning founder-held product reasoning into usable team memory before quality starts drifting downstream.