Founder, Creative Technologist, and AI Systems Architect
I build practical AI systems for founders and creative businesses.
I design practical AI workflows and digital operating systems for complex founder-led work.

Focus
Practical systems
Method
Documented decisions
Founder operating systems
Custom GPT and agentic workflows
Website and lead-intake systems
Product and workflow blueprinting
Consulting
AI systems architecture for founder-led work.
Engagements produce documented operating models and implementation-ready direction.
Founder Systems Diagnostic
Maps a founder's projects, tools, decisions, and operating friction into a clear system with sequenced next actions.
- Operating map
- Decision queue
- HOLD list
- Safe next actions
Operating X-Ray Sprint
Documents how work moves across people, tools, approvals, and bottlenecks so the team can make grounded system decisions.
- Workflow map
- Role map
- Bottleneck review
- Priority recommendations
Website and Lead-Intake Architecture
Architecture for website systems and lead-intake flows, with form integration and CRM workflow mapping documented for implementation.
- Website journey map
- Lead-intake architecture
- Form integration plan
- CRM workflow map
Custom GPTs and Agentic Workflow Systems
Custom GPTs, Claude Skills, agentic workflow designs, prompt systems, and knowledge structures for recurring operational work.
- Instruction system
- Prompt architecture
- Knowledge base plan
- Evaluation tests
Founder and Client-Facing Systems Documents
Decision packets, diagnostic reports, handoff documents, and executive summaries built from structured source material.
- Decision packet
- Diagnostic report
- Review packet
- Executive summary
Internal Tool and SaaS Blueprinting
Evidence-gated planning for internal tools, client portals, and SaaS MVPs, with implementation scope prepared for review.
- MVP scope
- Risk review
- Role model
- Implementation roadmap
Approach
Map the operating reality before choosing the build.
Map the operating reality before choosing a build.
Keep human judgment visible in every AI-assisted workflow.
Use evidence and clear approval gates to guide software decisions.
Create founder-facing artifacts that make the next action clear.
Selected Proof
Systems work with explicit evidence boundaries.
Each entry distinguishes implemented work, verified public state, and claims that remain outside the launch scope.
Evidence in scope
- Six service paths plus service-area, gallery, FAQ, About, and Contact surfaces.
- Local-search structure with canonical metadata and structured data.
- Embedded LeadConnector inquiry form with direct phone, email, and Instagram alternatives.
JGlow Customs
A custom Next.js marketing and inquiry website for an automotive customization business in Fairfield, California.
Review project evidence →
Evidence in scope
- Guest microsite and gallery routes with operator and admin surfaces.
- Separate client-portal and embeddable experience surfaces.
- Route logic for consent records, controlled exports, analytics, audit logging, deletion controls, and gallery governance.
Photo Booth FX
A Christina Hanson-operated, event-grade AI photo booth platform under active V1 web development.
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Evidence in scope
- Public product and education website.
- Prompt systems, Claude Skills, custom GPT, and workflow resources.
- Structured Work With Me route for productized and custom inquiries.
AI Prompt Lab
Christina's public product, research, education, and AI workflow systems brand for entrepreneurs and creative businesses.
Review project evidence →
Field Notes
Sharp writing for nontechnical teams adopting AI.
Turning AI Tools Into Repeatable Workflows
The difference between experimenting with AI and operating with AI is the system around the tool.
Read article →
Why Nontechnical Teams Need Prompt Systems, Not Just Prompts
A single good prompt is helpful. A prompt system gives a team shared language, quality control, and continuity.
Read article →
How Documentation Reduces AI Workflow Friction
Documentation makes AI workflows easier to repeat because it removes guesswork around context, quality, and handoff.
Read article →
Contact
Start with a diagnostic.
The diagnostic clarifies the current system and produces a sequenced implementation path.