I build AI-powered marketing systems that turn scattered data into clearer growth decisions.
My work sits at the intersection of growth strategy, lifecycle marketing, paid acquisition, and practical AI automation. I care less about adding AI for its own sake and more about building tools that help a team answer: What should we do next, why, and what evidence supports it?
An evidence-backed audit system for B2B SaaS and technology companies. It reviews website positioning, conversion paths, SEO signals, and competitive context鈥攖hen turns the evidence into a prioritized executive brief. A fictional lifecycle concept shows how the framework can extend across the customer journey.
What it demonstrates: growth strategy, lifecycle thinking, competitive intelligence, structured AI analysis, and safety-conscious browser automation.
A read-only decision dashboard that turns a fictional Google Ads snapshot into prioritized opportunities across spend, search terms, budget, and visibility鈥攚hile keeping every next step human-owned.
What it demonstrates: paid-search strategy, marketing analytics, decision dashboards, and responsible automation design.
A Profound workflow that detects competitive movement in AI search visibility, traces changes to citation-earning pages, and converts the evidence into weekly analysis, alerts, and actionable content briefs.
What it demonstrates: AI-search strategy, competitive intelligence, content operations, evidence-grounded agent design, and cross-tool workflow automation.
A Profound workflow that watches a competitor's citation traction and positive validation, applies a decision threshold, and turns qualified signals into sourced content and sales-enablement drafts for human review.
What it demonstrates: signal-based automation, AI-search competitive intelligence, evidence-led content strategy, cross-functional workflow design, and responsible human-in-the-loop execution.
- Start with the business decision, not the model.
- Separate observed evidence from hypotheses and recommendations.
- Build guardrails around anything that can change spend or customer experiences.
- Design the output for the person who needs to act on it.
- Treat privacy, credentials, and customer data as product requirements.
Growth strategy 路 Lifecycle & CRM 路 Paid search 路 CRO 路 Competitive intelligence 路 AI workflows 路 Marketing analytics
I鈥檓 continuing to turn real marketing workflows into focused, explainable AI tools. The repositories below document both the product thinking and the implementation behind them.