Popilnus is built on the hypothesis that AI-guided communication can solve high-stakes trust problems. We are building a platform to test this hypothesis and are actively seeking partners in municipal communications, community platforms, and public health outreach.
Use Case: Municipal Communications
Problem Hypothesis: Municipalities struggle to scale timely, accurate public guidance during advisories, leading to inconsistent sourcing and reduced public trust.
Proposed Solution: Integrate Popilnus as a drafting plugin to provide tone and clarity suggestions, attach verifiable source links, and flag high-impact messages for human review.
Target Outcome: Reduced manual review time, increased citation of authoritative sources, and higher public confidence in municipal messaging.
Use Case: Community Platforms
Problem Hypothesis: Local community platforms are overwhelmed by rapid circulation of unverified claims, increasing moderation workload and community conflict.
Proposed Solution: Offer Popilnus as an opt-in coach that helps users rephrase claims and add context before posting; route high-impact claims to a local validator queue.
Target Outcome: Fewer inflammatory posts and unverified claims, reduced moderator burnout, and healthier community dialogue.
Use Case: Public Health Outreach
Problem Hypothesis: Rapidly evolving guidance (for example during a public health emergency) creates versioning challenges and inconsistent citation across distributed teams.
Proposed Solution: Provide canonical source attachment, automated provenance records for each post, and a validator-stamp workflow to certify content before distribution.
Target Outcome: Faster time-to-publish for verified information and fewer post-publication corrections.
