Don Barger on Why FaithBot Refuses to Pray
Don Barger built FaithBot for 2.5 million users across 50 languages. Here is why he banned it from counseling or praying.
Abundant Intelligence at the Midwest AI Summit Part 2
With Chris Benson, Daniel Whitenack, Don Barger, Mark Lay, Darren Taillie · Thursday, November 5, 2026
In this live episode recorded at the Midwest AI Summit, three technology leaders share practical insights on operationalizing AI. Don Barger discusses creating an ethical AI charter at the International Mission Board, Mark Lay of Noblis breaks down governance, delegation, and technical debt frameworks for enterprise AI, and Darren Taillie of Aerocore Technologies explains how text-to-SQL agents and vision models streamlined global jet engine maintenance operations.
Key takeaways
- Don Barger deployed FaithBot to 2.5 million users across 50 languages at the International Mission Board. Read more →
- Aerocore Technologies runs engine wash shifts from 7:00 PM to 5:00 AM across airport tarmacs, where solo technicians enter work data directly into mobile phones under poor conditions. Read more →
- Darren Taillie eliminated a 40-hour weekly queue of manual data requests at Aerocore Technologies by connecting an LLM to database MCP servers inside Microsoft Teams. Read more →
- Software agents can complete operational tasks, but ultimate accountability always requires a named person on the organizational chart. Read more →
4 articles from this episode
Aerocore Catches Billing Errors with 8:15 AM Vision Audits
Darren Taillie uses computer vision to audit overnight jet engine washes, catching inverted tail numbers and fixing billing records before 9:00 AM.
Darren Taillie Replaced 40 Hours of Data Pulls with a Teams Bot
Aerocore Technologies cut data turnaround from a week to 3 seconds by hooking an LLM agent directly to Microsoft Teams via database MCP servers.
Mark Lay on Why AI Systems Cannot Own Accountability
Mark Lay explains why AI accountability stays with humans, how Noblis audited 1,000 data sets, and the new technical debt of AI apps.
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