AI Automation & Systems Building
Custom AI automation systems built for ecommerce brands and agencies. Multi-agent workflows, API integrations, data pipelines, and translation systems. 11+ automations built, 7 AI agents running in production.
What's been built
- Email operations pipeline: Gmail + Claude AI + Google Drive — reads briefs, writes drafts, formats output, delivers to clients autonomously
- AI SEO audit system: crawls WooCommerce marketplace via REST API, audits 1,200+ pages, generates and implements fixes automatically
- AI email skills: Strategy Skill generates monthly campaign briefs; Draft Skill writes brand-trained copy — 3x faster campaign output
- Translation and data automation systems for ecommerce operations
Tech stack
Claude AI, Python, Gmail API, Google Drive API, WordPress REST API, WooCommerce API, Shopify API, Make, n8n, custom scripts.
Common questions
- What kind of tasks can AI automation handle?
- Anything repetitive with a clear input and output structure. Email drafting, data transformation, SEO auditing, translation, and reporting are all automatable.
- Do you use off-the-shelf tools or build custom?
- Both. n8n for orchestration, Claude API for generation tasks, custom Python for data work. The choice depends on the job, not a preference for complexity.
- How long does a custom AI automation take to build?
- A single-workflow automation: 1 to 2 weeks. A multi-agent pipeline: 3 to 6 weeks including testing against real data.
- What do I need to provide to get started?
- Access to the relevant APIs, a description of the input and the expected output, and the ability to review and approve the first few runs.
- Can AI automation replace a full-time hire?
- In specific, well-defined tasks — yes. The email operations pipeline in the work section covers the output of a full junior email marketer across 10 accounts.