Build **GuardianContext**—a **local-only, on-device AI agent** for parents, platforms, and moderators. Unlike cloud moderation, it processes chat logs, voice transcripts, and image metadata **locally** on the device using a Small Language Model (SLM). It detects specific 'radicalization patterns' (e.g., isolation tactics, us-vs-them rhetoric, escalation to violence) and 'grooming sequences' without sending data to the cloud. It alerts parents/platforms only when a 'Risk Threshold' is breached, providing a **summarized, privacy-preserving report** of the *behavioral pattern* rather than raw chat logs. Offer a **'Radicalization API'** for platforms to integrate into their moderation stacks.

Mid-market social platforms, decentralized networks (e.g., Bluesky, Mastodon), and gaming communities lack scalable tools to comply with EU’s **e-Evidence Regulation** and **Chat Control 2.0**. Current solutions (e.g., Palantir, AWS Macie) are enterprise-grade ($200K+/year) and require cloud storage of user data, violating privacy laws. Platforms face fines up to **6% of global revenue** for non-compliance (e.g., Meta’s €1.2B fine in 2023) but can’t afford enterprise tools. The EU’s expansion of Europol’s powers signals a broader trend: **platforms must detect radicalization, grooming, and CSAM without centralized surveillance**.