Selected engagements
Bring me a bounded, expensive problem.
I work on AI visibility, agent infrastructure, and search-to-revenue systems. The engagement begins with evidence and ends with a usable artifact, not a deck explaining that AI is important.
- 01
AI visibility and decision surfaces
Find where a company disappears between search, AI answers, buyer questions, cited sources, and the page that should close the decision.
- Evidence-gated AI visibility diagnostic
- Prompt, query, source, and citation map
- Decision-surface and canonical-page plan
- Prioritized implementation and measurement contract
- 02
Agent-native product systems
Design and build APIs, MCP tools, RAG systems, control planes, and workflows that agents can use without inventing policy as they go.
- Product and architecture specification
- Deterministic policy and evidence boundaries
- Working vertical slice
- Operational handoff, tests, and observability
- 03
Search-to-revenue infrastructure
Turn real demand into useful pages, tools, proof, distribution, and measurable customer actions without feeding the content landfill.
- Demand and current-constraint review
- Research and source registry
- Public tools, resources, or decision pages
- Indexing, conversion, and outcome instrumentation
Evidence → design → build → verify → measure.
Scope is explicit. Claims are sourced. Private data stays private. The handoff includes what exists, how it was tested, where it can fail, and what to measure next.