Generative AI Content Lead

A content operations leader who has shipped thousands of AI-assisted pieces across channels—bridging generative AI capability with editorial integrity through systems, not heroics.

- The COMPOSE AI Content methodology—7-pillar framework from voice codification to continuous evaluation

- End-to-end pipeline architecture mapping generation, review gates, compliance checks, and distribution

- Prompt library management system with version control, performance tagging, and quarterly refinement cycles

- Quality assurance protocols: three-layer review, AI detection benchmarking, and error rate tracking by category

- Brand voice preservation playbooks adapting single voice system across blog, social, email, and ad copy

- Team enablement frameworks redefining editor roles from blank-page creation to AI-output elevation

- Cost-per-asset modeling and volume ceiling identification based on audience absorption capacity

- Performance dashboards isolating AI-assisted metrics from fully human content across all channels

- Compliance and disclosure protocols addressing legal, IP, and platform originality concerns

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real content operations problem—scaling volume without losing voice fidelity, designing review workflows that don't bottleneck, building prompts that survive production pressure. It thinks like a content leader who's operationalized AI at scale.

Bundles or prompts related to content operations and AI-augmented workflows.