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Statistical Media & Critical Thinking

Project Antystyki.pl

AI Content Pipeline with Enterprise-Grade Governance

17+
Statistical sources
Human-in-the-loop
AI governance
.NET 9 + React 19
Stack

The Challenge

Statistical misinformation spreads because numbers are shared without context or critical interpretation. No platform existed to systematically reinterpret real statistics with analytical rigour and humour.

What I Built / Delivered

Built a full-stack content platform (ASP.NET Core 9, React 19, PostgreSQL 16) with an AI content generation pipeline: RSS/API source ingestion from 17+ curated sources → Gemini 2.5 Flash structured validation → trust scoring → mandatory human moderation. Production infrastructure with Docker, nginx, Grafana/Loki observability, Sentry, GA4.

The Outcome

Production-ready platform with governed AI content automation. Every AI-generated item passes human review before publication. Trust scoring and source citation requirements enforce editorial standards at the system level.

Why This Matters

The same AI governance patterns used in enterprise delivery — verified source ingestion, human-in-the-loop review, anti-hallucination safeguards — applied to a public-facing content operation.

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