AI systems
Turning vague prompts, messy workflows, and scattered context into tools people actually use.
AI-first personal site
I build practical AI systems, automation, and digital tools that actually get used.
AI for SEO, analytics, automation, and product delivery — without the hype fog. I like the messy middle: turning vague ideas, data, and workflows into something useful, durable, and easy to keep using.
A small set of capabilities, used in combination.
I’m not trying to be everything. The value is in connecting AI, systems thinking, and practical execution without making the stack heavier than it needs to be.
Automation
Small, durable automations that remove repetitive work without adding platform debt.
Product delivery
Practical implementation support from framing and instrumentation through to shipping.
SEO + analytics
Technical SEO, structured data, and privacy-aware measurement as proof of real execution.
The work matters more than the pitch.
A few concrete examples of the kind of systems and delivery work I’m close to.
AIWAR
The rebranded successor to ahref: an SEO and site-audit tool rebuilt around a clearer identity.
Shows the ability to turn a working product into something more coherent without losing the technical core.
AI-Dev-Team / Mission Control
A structured AI operating setup for planning, tasks, and delegated work across projects.
Useful proof that I can design systems around people, process, and repeatable execution.
OpenClaw customizations
Workflow and tooling changes that make the assistant setup more durable and less brittle.
A good example of practical AI tooling work that stays focused on shipping instead of hype.
Privacy-first measurement
Analytics and experimentation work that respects consent, data quality, and real-world constraints.
Still important — just no longer the headline identity.
Calm, hands-on, and privacy-aware.
I’m useful when the work needs judgment, a bit of code, and enough restraint to keep things shippable.
Hands-on, calm, and practical.Privacy-aware by default.One-person friendly: easy to brief, easy to work with.Comfortable with code, content, and messy implementation details.
The short version: I help teams ship practical systems, keep the measurement honest, and avoid turning every problem into a platform project.