Patron

Civic research AI engineer

Autonomous AI agent pitches formulated for community philanthropy and social impact — structured briefs that connect local needs with actionable funding narratives.

Problem

Grassroots organizations struggle to translate on-the-ground needs into compelling, evidence-backed pitches. Patron explores agentic workflows that gather context, draft impact briefs, and iterate on philanthropy-ready narratives under human review.

What it covers

Context ingestion from structured community intake forms
Multi-step agent pipeline for problem, intervention, and outcome sections
Citation hooks for local statistics and prior program results
Human-in-the-loop approval before any external send

Agent pitch workflow

def build_pitch_plan(intake: CommunityIntake) -> list[PitchSection]:
    return [
        PitchSection("problem", evidence=intake.needs),
        PitchSection("intervention", evidence=intake.programs),
        PitchSection("outcomes", metrics=intake.kpis),
    ]

Screenshot placeholder — swap for a reviewed philanthropy brief export.