Civic information is broken. Government announcements are dense with jargon. Social media buries relevant policy in entertainment. Bias is invisible until someone with time and expertise points it out.
PARA treats AI agents as infrastructure, not features. They exist to make civic data usable.
What PARA agents do
- Summarize complex policy documents into plain language you can read in under two minutes.
- Bias Light highlights framing, omissions, and loaded language in political content so you know what you are reading.
- Classify and cluster positions across communities, making comparison possible without forcing consensus.
These are not chatbots. They are tools that process structured civic data and return structured civic insight.
Collective and individual agents
- Collective agents are trained on community knowledge trees — living datasets that a community builds, curates, and governs. The agent represents shared values and evolves with the group’s debates.
- Individual agents assist with reading, writing, and research, grounded in real civic data rather than generic LLM outputs.
Both types operate on PARA’s structured formats, so their outputs are traceable to actual positions, policies, and matters — not hallucinations.
API-first
External developers and organizations can use PARA’s API to:
- Classify political content at scale.
- Generate summaries and comparisons.
- Build tools that consume structured civic data as infrastructure.
This is not engagement farming. It is civic intelligence: real data, real agents, real utility.