Cómo se construye Cyril
Notas de ingeniería sobre por qué una plataforma nativa de IA hay que diseñarla así desde los cimientos, y no añadirla a una arquitectura que ya existe.
8 de mayo de 2026 · 6 min de lectura
Why AI-native platforms win — and what that actually means
Bolted-on AI looks impressive in demos and falls apart in workflows. The reason is structural. Here's the engineering decision that separates AI-native from AI-added-on.
20 de mayo de 2026 · 5 min de lectura
Every record explains itself: the ai_context serializer
Cyril gives every entity an ai_context serializer — a deterministic, schema-aware view built for the model, not the database. It's the unglamorous core of what makes AI grounding actually work.
2 de junio de 2026 · 6 min de lectura
Letting AI act safely needs one audit log, not five
Generative AI answers questions; agentic AI takes actions — and actions are where trust is lost. What makes them safe in Cyril isn't a guardrail prompt: it's one permission model, one audit log, one rollback path.
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