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Trey Motsenbocker

AI Automation · Workflow Engineering · RPA

trey.motsenbocker@gmail.com
817-456-9881
linkedin.com/in/trey-motsenbocker

Summary

TripleTen AI Automation graduate building production-style workflows that take repetitive, time-draining work off people's plates. Seven shipped projects spanning conversational AI (RAG), no-code orchestration, RPA, predictive automation, and conversion-focused web design.

Toolkit

Zapier · Make · n8n · UiPath · VAPI · Glean · Google Gemini · Claude & Claude Skills · OpenAI · Prompt Engineering · RAG · Document Understanding · Google Workspace APIs · Lovable

Selected Projects

01Workflow Design Concept

AI Customer Support

An end-to-end support workflow designed in Miro — not a shipped product. The diagram maps how AI could handle routine tickets end-to-end so CSRs focus only on novel cases, with tickets unable to close until the customer confirms resolution.

Concept
Workflow design
<5 min
Target hold time
~30x
Projected research speedup
02Conversational AI

Academic Chatbot

Live, publicly accessible chatbot grounded on a single WWII academic chapter that returns answers with citation-ready Chicago Manual of Style references.

1 source
Grounded RAG
Auto
Citation generation
Live
Public deployment
03AI + No-Code Automation

Feedback Analysis

Customer survey responses are automatically classified and summarized by Gemini 2.5, logged to Sheets, and route negative feedback straight to the right team via Gmail.

Real-time
Sentiment tagging
Auto
Negative-review alerts
0
Manual triage
04Predictive Automation

Weather Staffing

Eliminated manual morning planning for a weather-dependent kiosk; the workflow delivers staffing recs, product prep guidance, and ready-to-post social copy each day.

Daily
Auto-generated briefings
0 min
Manager planning time
Pre-7AM
Marketing copy ready
05Robotic Process Automation

Invoice RPA

End-to-end RPA bot replaces manual invoice entry: extracts due date, supplier, total, invoice number, and description into a structured Sheet for every document.

0
Manual entry errors
5 fields
Auto-extracted per invoice
Volume scalability
06Data-Driven Automation

Route Predictor

Personal automation that turns my own delivery history into per-store ETA forecasts so I sequence stops around when trucks actually arrive.

30 days
Historical data window
Sharper
Than 7AM projections
Self-improving
Forecast accuracy
P1Prompt engineering + sports analytics

BracketGenius

Live, explainable bracket predictor that finished within 2 points of the Sokol/LRMC academic benchmark (~75%), with every pick traceable to the underlying weighted factors. The title-game prediction (Michigan over UConn) was correct; three of four Final Four teams were in the formula's top 10.

73.0%
Game accuracy (46/63)
78.1%
Round of 64 accuracy
Top 6%
Champion in formula's top 5 of 81
S1Claude skills · decision support

Council + Brief

A working, installed decision support system used on real personal decisions. The Brief turns vague questions into well-formed prompts; The Council runs them through nine thinking lenses with peer review and a chairman synthesis. Validated across three real decisions, with the chairman's confidence rating tracking real uncertainty rather than projecting false certainty.

2 skills
The Brief + The Council
9 lenses
Dynamic seating + wildcards
2 of 3
Test decisions where framing was rejected

Outcomes

  • Shipped 7 end-to-end automation projects across 5 distinct domains
  • Cut customer support hold time benchmark to under 5 minutes via AI-first triage
  • Eliminated manual sentiment triage with real-time Gemini-powered review classification
  • Designed 2 production landing pages engineered for booking conversion
  • Built an RPA bot that removes manual entry error from invoice cataloging at any volume

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