Truth Signal
Migrated a complex multi-layered AI credibility pipeline from server-based flows to a fully serverless architecture — same quality, lower latency, zero server maintenance.
- Industry
- Media / content credibility
- Region
- United States
- Stage
- Re-architecture engagement
- What we built
- Serverless migration (Supabase Edge + OpenAI)
Figures reflect designed capacity from the build; live production metrics are verified per engagement.
The problem
Truth Signal performs three layers of content analysis — factual verification, Bayesian probability scoring, and presentation/bias detection — plus author credibility tracking over time. The original pipeline ran on N8N workflows requiring an external server: added cost, operational complexity, and a single point of failure.
The solution
A full re-architecture into Supabase Edge Functions powered by OpenAI models with pg_cron scheduled jobs. Every analysis pathway preserved. No external server. Lower latency. Zero maintenance overhead. The system now runs autonomously, end-to-end.
The outcome
Same analysis quality at lower operational cost. Eliminated the single point of failure. Significantly reduced infrastructure overhead — and proved a repeatable service offering: migrate complex existing systems to serverless without functionality loss.
Stack
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