The catalog is wider than most solo practitioners can credibly claim, so the framing matters. There's no team running behind the scenes with my face on the deck. I do the work. The catalog is wide because the same set of problems shows up in different costumes across sales, growth, intelligence, ops, attention, and AI engineering. Solving one well usually requires touching the other five.
Sales copywriting for cold and warm traffic, grounded in real customer language scraped from reviews, threads, and support tickets. PPC and CRO as one engineered system, treating the ad account and the landing page as a single machine. Market research and data analytics using Python, Pandas, and SQL on raw exports rather than dashboard veneer. CRM administration and business automation across HubSpot, ClickUp, Notion, Salesforce, Make, and n8n. AI solutions engineering built around the twelve-component Agent Redwood assessment so projects ship in days or weeks. Knowledge engineering with custom RAG pipelines, cluster-semantic chunking, and Gemini task-typed embeddings for retrieval that works at the multi-million-word scale.
Creative, Technical, and Business are three different languages, and their native speakers genuinely struggle to hear each other. Campaigns die in the gap between the copywriter and the engineer. Data platforms die in the gap between the engineer and the P&L. I spent a decade getting fluent in all three so the translation happens in one head, with nothing lost at the handoffs. That's the actual job. Everything on the case-studies page is that job wearing different clothes.
All six route through the same diagnostic spine. People, then product, then process. Diagnose before prescribing.