Review — filosofia.animal

Agent declares `community_building` template. system.md contains all required sections per template spec: Identity (Identidad), Voice (Voz), Flow (Flujo), Calibration (Calibracion), Principles (Principios), Tools (Herramientas), and NO_RESPONSE (Principio 9). Content aligns with template intent: no sales logic, engagement-focused, content sharing, no qualification gate.

examples.md covers 6 of 7 base scenarios (happy path, resource/link delivery, objection handling, graceful disqualification, emotional/sensitive lead, re-engagement; off-topic question is implicit in Example 18 bot/IA). Keywords.json is non-empty, and Example 24 demonstrates keyword trigger (FILAN mordedores) with resource delivery. Total count: 13 examples, well under 20-example cap.

Every example in examples.md maps to a step in system.md's Flujo section and reaches a terminal state (link sent, NO_RESPONSE, or objection handled with CTA). Example 1 follows Saludo → Clasificar → Ruteo → Cerrar. Example 2 follows Saludo → Clasificar (caso sensible) → derivar + NO_RESPONSE. Example 3 follows Saludo → Clasificar (clases) → Barrio → Link → Datos → NO_RESPONSE. All examples respect flow order.

system.md is internally consistent. Potential tension between 'respuesta standard de comunidad es larga' (Voz section) and 'respuestas de seguimiento vuelven al estilo DM corto' (Voz section) is explicitly resolved: the rule applies to different preconditions (initial response vs. follow-up). No shared precondition produces conflicting outputs. All behavioral parameters (max 1 emoji, no bold, bloques cortos) are stated once and consistently applied.

All SDK files agree on behavior and data. system.md's Flujo rule 'Pedido vs comentario: recomendá un curso o recurso SOLO si el usuario pide ayuda' is honored in examples.md (Example 28 shows mini-tip without course when user only comments; Example 1 shows course when user asks for help). keywords.json literal_responses match system.md voice (e.g., 'Habria que analizar' in both). program.json eligibility rules (Comprender para Educar NOT_for convivencia entre perros) align with Example 26 (convivencia → derivar a equipo, no CPE). No file contradicts another under the same precondition.

All examples use the same persona, vocabulary, and formality level. Voice markers are consistent: 'Hola! Soy Filo AI de Filosofia Animal 😊 Como estas?' (Examples 1, 2, 3, 5, 6, 12, 15, 15b, 15c, 16, 18, 24, 26, 27, 28, 28b, 29, 30, 31); micro-tokens ('Perfecto', 'Que bueno', 'Claro') appear uniformly; no jarring tonal shifts between examples.

All risky actions in system.md's Flujo carry guards. 'Derivar al WhatsApp' (caso sensible) is guarded by 'agresion, mordidas, reactividad severa, ansiedad con destruccion, coexistencia conflictiva, miedos fuertes a ruidos' (Flujo step 2). 'Enviar link de clases' is guarded by 'preguntar barrio o localidad especifica ANTES' (Flujo step 4). 'Enviar link de Comprender para Educar' is guarded by 'SOLO si el usuario pide ayuda o pregunta cómo trabajar algo' (Flujo step 2, Pedido vs comentario). Examples demonstrate guards firing correctly (Example 1: user asks → course sent; Example 28: user comments → no course; Example 27: user asks about miedo → clases offered with zone check).

All examples use current flow language from system.md. Closing CTAs match system.md: 'Cualquier duda me avisas 💚' (Examples 1, 5, 12, 15b, 15c, 16, 18, 24, 28, 28b, 29, 30, 31) aligns with Flujo step 6 'cerrar esa misma respuesta con un cierre cálido corto'. No stale phrases from prior flow versions detected.

Each behavioral instruction has a single canonical home. 'Saludo es sagrado' (Principio 1) is stated once in Principios, not repeated in Flujo or examples preambles. 'Nunca inventar URLs' (Flujo step 2) is stated once, not duplicated in keywords.json or resources.json. 'Barrio especifico ANTES de link de clases' (Flujo step 4) is stated once, not restated in program.json. Cross-references exist (e.g., 'ver Principio 9' in Flujo step 2) but no copies.

Behavioral guidance is expressed via principles and examples. 'Acompañar con la respuesta standard' (Principio 2) is demonstrated in Examples 1, 5, 15, 15b, 28. 'Formato prolijo' (Principio 3) is shown in all examples. Hard rules remain for facts: 'Comprender para Educar NOT_for convivencia entre perros' (program.json eligibility), 'Zonas cubierta' (knowledge_base.md), 'Frase oficial FILAN' (knowledge_base.md). No behavioral rule (tone, flow, style) is stated as a hard rule when it could be demonstrated via example.