Your team is doing work that AI should handle.
Support answering the same questions. Engineers on repetitive tasks. Data sitting in silos nobody can search. These problems have solutions now.
I'm Christian — 13 years building backend systems, now focused on AI integration.
Problems I Solve
If any of these sound familiar, we should talk. Click to see how I've solved it before.
"Support is drowning in repetitive questions"
See solution →Your team answers the same questions over and over. The answers exist in your docs, but customers don't read them.
→ RAG chatbot that automated ~20% of ticket volume
"We don't know what's actually frustrating customers"
See solution →You have thousands of support conversations, but no way to see patterns. Fixes are reactive, not proactive.
→ Analyzed 10k+ conversations, surfaced 6 hidden UX issues
"We're missing calls and losing leads"
See solution →Can't afford 24/7 staff, but voicemail is a dead end. Callers hang up, business walks away.
→ AI phone system that answers calls and books appointments
"Dev team can't ship fast enough"
See solution →Market moves fast, backlog grows faster. You need more output without hiring more people.
→ Agentic pipeline that 3x'd feature output
What Clients Got
~20%
fewer support tickets (automated with AI)
6
UX issues found that were invisible before
3x
more features shipped per week
How I Work
Ship fast, iterate faster. No over-engineering.
Understand
Dig into the actual problem, not the assumed one
Research
Find existing patterns and constraints before writing code
Build
Ship the simplest solution that solves the problem
Iterate
Measure results, learn, improve
Currently Building
ManagerTools
AI phone answering for small businesses. Handles incoming calls, answers questions from your knowledge base, and books appointments directly to Google Calendar.
Check it out →Have a problem like these?
Tell me what's broken. I'll tell you if I can fix it.
Best fit: AI/LLM integration, backend APIs, RAG systems, workflow automation.
Describe Your Problem$100/hr · Remote · US Timezone (Central)