Dustin GoodDustin Good

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 and Trust Stack for responsible public sector AI deployment.

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

Two diagnostic frameworks for municipal AI: the Verifiability Framework determines what AI can do, and the Trust Stack identifies when investing in trust accelerates adoption.

The Diagnostic System

Two frameworks 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.

Read the Verifiability Framework

“When does investing in trust pay technical dividends?”

Four layers of trust...from process compliance to democratic sovereignty...that shape whether an AI deployment gains traction or faces resistance.

Read the Trust Stack

Current Work

What I'm Building

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, the Trust Stack, building AI tools from inside government, and practical lessons from 4.5 years of elected service.