De bloquear a autocorregir: una demo práctica de guardrails para agentes de IA con Laravel, Grok y OpenSpec
The article presents a practical demonstration of AI agent guardrails using Laravel, Grok, and OpenSpec, focusing on autocorrecting instead of blocking user requests. It implements a GuardrailEngine that adjusts invalid appointment requests based on business rules and offers corrected options. The system aims to improve user experience by guiding agents to valid outcomes rather than halting execution.
- ▪The demo uses Laravel AI SDK, Vue, Docker Compose, MySQL, Grok, and OpenSpec to implement self-correcting AI guardrails.
- ▪Instead of blocking invalid appointment requests, the system proposes corrected versions based on business rules.
- ▪Business rules include operating hours from 8:00 a.m. to 6:00 p.m., a maximum of 2 people per appointment, and 30-minute durations.
- ▪The GuardrailEngine validates requests and returns one of three decisions: ALLOW, STEER, or BLOCK.
- ▪A frontadmin interface allows configuration of rules, services, blocked days, and log review.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 745267) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Francisco Posted on May 1 De bloquear a autocorregir: una demo práctica de guardrails para agentes de IA con Laravel, Grok y OpenSpec #laravel #ai #openspec #guardrails Introducción Hace poco estuve leyendo el artículo “Guardrails para Agentes de IA que se Autocorrigen en Lugar de Bloquear”, publicado por Elizabeth Fuentes L para AWS Español. La idea principal me pareció muy interesante: muchos guardrails tradicionales funcionan de forma binaria.
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