Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to architect agents that maintain reasoning chains across multiple LLM invocations, accumulate state progressively, and refine their analysis through iterative thinking.
Learn how to design AI agent architectures that detect user languages, localize prompts, translate responses, and manage multilingual content pipelines for global audiences.
Learn how to design multimodal AI agent architectures that route inputs across text, image, audio, and video modalities. Covers fusion strategies, modality-specific processors, and unified reasoning pipelines.
Understand when to use multiprocessing versus asyncio for AI agent workloads. Learn CPU-bound vs I/O-bound trade-offs, ProcessPoolExecutor, and hybrid patterns.
Learn how to build AI agent automations with n8n. Covers workflow design with AI nodes, triggers, integrations with 400+ services, and self-hosting for full control over your agent infrastructure.
Learn how to implement Named Entity Recognition in AI agent pipelines using spaCy and LLMs, covering entity types, custom entity training, and real-time extraction strategies.
Build AI agent communication systems using NATS messaging, covering subject-based routing, queue groups for load balancing, request/reply patterns, and JetStream for persistent message delivery.
Master the art of negative prompting — learn how to set boundaries, use guardrails, and constrain LLM behavior by specifying what to avoid. Includes real patterns for production prompt safety.
Explore neural rendering techniques like NeRF and Gaussian splatting that generate photorealistic 3D scenes from ordinary photographs using AI.
Get notified when we publish new articles on AI voice agents, automation, and industry insights. No spam, unsubscribe anytime.
Try our live demo -- no signup required. Talk to an AI voice agent right now.
