ai-native-workflow

AI-native workflow reduces misalignment by enabling AI to draft while humans control timing and personalization. Map tasks between AI and human ownership, use stage-aware automation across discovery, rate creation, proposal, and win-back scenarios, and anchor outputs to Git and HubSpot for auditability.

Task mapping is a framework that explicitly labels each task as either human-owned or AI-driven based on stage and context. The workflow provides battle-tested prompts and swipe files for AI tasks, letting you control automation granularity while maintaining decision authority on personalization and timing.

Load stage-specific swipe files (patterns and templates) from the references component, then apply the 4-habit prompts before starting discovery, rate creation, proposal, or win-back work. This ensures consistent, battle-tested AI drafts anchored to your process.

Yes. The workflow enforces cross-system logging to HubSpot and Git, linking AI outputs to deal folders via breadcrumb anchoring. This creates an auditable trail of AI-generated content tied to your CRM and version control.

Yes. The Nebuchadnezzar v3.4 pipeline includes blue pill (exploratory) and red pill (decisive) modes, allowing you to choose AI behavior based on stage, context, and risk tolerance while maintaining human oversight.

Set up access to the swipe-files references, map your stages to discovery, rate creation, proposal, and win-back scenarios, configure logging targets (HubSpot, Git), and establish which tasks will be AI-driven versus manual in your process.