Designers, builders, and civic technologists are facing a core problem: how to develop civic tech responsibly in the age of AI without creating redundant, unmaintainable, or harmful solutions.
Is it possible to create meaningful work using LLM models? When a new wave of vibecoders (builders with no programming skills) are shipping websites in less than a day, there's a clear gap in accountability that needs to be addressed.
This creates several cascading challenges:
The Smol Gardens Project is a guide created for technologists, designers, researchers or educators who are already using AI tools in their workflow.
You can use the Seedscore Impact Assessment Tool as a framework or guide for your workflow, Smol gardens aims to educate and push for alternatives to using LLM models, with an end goal to incorporate Accountable tech principles in a builder's workflow.
In the workshops, participants will be invited to document and audit their work using an impact assessment framework.

Invite participants to document actual AI usage through a "diary mission," using the Impact assessment tool as guide.
Read more: Transparency ReportingCreate the impact assessment tracking tool. We're developing a framework that measures human, systems, and environmental impact on AI-enabled web-development.
Read more: Impact AssessmentUse small language models (SLMs) to build a curated repository of civic tech tools hosted by the Accountable Tech working group and will be made available open source for future builders.
Read more: Open-Source Tooling