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signal-loop

Browse 9 articles tagged with “signal-loop”.

Articles tagged “signal-loop

9 articles

Architecture diagram of an agentic data layer with event log, signal extraction, entity store, and improvement loop
Agent Architecture·14 min read

The Modern Data Stack Wasn't Built for Agents

Snowflake, dbt, and Fivetran were built for humans asking batch questions. Agents need streaming signals, per-entity memory in under 100ms, and write-back.

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Watercolor illustration of an observation tower overlooking two parallel worlds, Blade Runner 2049 style in sage and olive tones
Testing & Evaluation·8 min read

Is AI Better Than Your Humans? Score Both on One Rubric

Most teams can't say whether AI beats humans because they score them differently. One rubric, run on both, sliced by segment, gives you an honest answer.

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Watercolor illustration of two figures walking through a warm corridor of looping paths, Her style in warm plum tones
Testing & Evaluation·9 min read

Every Failed Call Is a Test Case You Haven't Written Yet

The gap between staging and production for AI agents is measured in surprise. Here's how to close the loop from live failure to regression gate.

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Watercolor illustration of a space mission control room with signal data flowing across screens, Interstellar style in dusty blue tones
Industry & Strategy·8 min read

Your Conversations Are Already CRM Data. Here's How to Use Them.

Every customer call carries churn risk, expansion intent, and compliance signal. Most teams toss it. Here's how to turn conversations into live CRM data.

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Codigo en la pantalla de una computadora. - Foto de Rob Wingate en Unsplash
Knowledge & Memory·14 min read

Tu agente de IA no aprende de produccion. Esto es lo que te esta costando.

La mayoria de los agentes de IA se despliegan y se olvidan. Los equipos que estan ganando con IA tienen una estrategia diferente: cerrar el ciclo desde cada llamada en vivo de vuelta al agente mismo.

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Enfoque selectivo de un cuadricoptero blanco y negro - Foto de Kenny Eliason en Unsplash
Agent Architecture·7 min read

IA Conversacional vs. IA Agentiva: Cual es la diferencia y por que importa para equipos de CX

La IA conversacional sigue scripts. La IA agentiva persigue objetivos. Aqui esta la diferencia exacta, con una comparacion lado a lado y una guia practica para elegir el enfoque correcto para experiencia del cliente.

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Ilustracion en acuarela de nodos de memoria interconectados formando una red de conocimiento en tonos verde salvia y oliva
Knowledge & Memory·25 min read read

Memoria de Agentes de IA: Del contexto de sesion al conocimiento a largo plazo

Construye sistemas de memoria para agentes de IA desde cero en TypeScript. Cubre tipos de memoria (sesion, episodica, semantica, procedural), arquitecturas (buffer, resumen, recuperacion vectorial), interseccion con RAG y diseno con privacidad.

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a group of people sitting around a conference table - Photo by Walls.io on Unsplash
Voice & Conversation·14 min read

Sub-300ms Voice AI: The New Standard That's Redefining Customer Expectations

Discover why sub-300ms response times have become the new standard in voice AI, backed by cognitive science research and real-world deployment data.

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a hand holding a phone next to a cup of coffee - Photo by PiggyBank on Unsplash
Operations·15 min read

Moving Past "Average Handle Time": New Metrics for Evaluating Conversational AI

Industry research shows that 60-65% of enterprises still rely on Average Handle Time, missing critical conversational AI metrics. Discover the next-generation metrics that drive real business value.

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The Signal Briefing

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