Civic AI Practitioner
Building AI for local government...
from the inside
City council member who builds AI tools. Developer focused on municipal use-cases. Creator of the Verifiability Framework for responsible public sector AI deployment.
Elgin, Illinois
City Council · Second Term
4.5 years elected service
Why Practitioners Matter
Inside Government
4.5 years elected
I've voted on emergency aid for homeless residents after an encampment fire. I've navigated how local government protects residents from federal immigration overreach. These are decisions no algorithm should make.
Builds Real Tools
Ships, not theorizes
I've built PolicyAide (8-agent policy research system), a 34-tool MCP server used by Coda's engineering team, and civic AI tools used in actual municipal contexts.
Framework Thinking
Methodology, not just code
The Verifiability Framework provides clear criteria for when AI should automate versus augment in government. A thinking tool that helps municipalities move past hype and fear.
Read the frameworkThe Verifiability Framework
A methodology for responsible AI deployment in local government
“Can we verify success?”
If yes — candidate for automation. Permit completeness checks, data validation, routine scheduling.
If no — AI augments human judgment, doesn't replace it. Budget priorities, emergency aid allocation, policy tradeoffs.
Current Work
What I'm Building
PolicyAide
PrototypeAn 8-agent system for policy research using tournament-style adversarial testing. AI safety research operationalized for civic AI.
View architecture
Coda MCP Server
Active34-tool open-source integration layer connecting AI systems with Coda documents. Used by Coda's engineering team.
Learn more
CivicAide
v2 in devCivic technology platform housing PolicyAide and other municipal AI tools. Framework for responsible public sector AI deployment.
Explore
Speaking & Consulting
Available for conferences, workshops, and advisory work
Speaking on municipal AI implementation at IML (Illinois Municipal League) and City AI Connect. Topics include the Verifiability Framework, building AI tools from inside government, and practical lessons from 4.5 years of elected service.