Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Apply the strangler fig pattern to incrementally migrate a monolithic AI agent to microservices. Learn routing cutover strategies, feature parity validation, and safe rollback techniques.
Learn the complete LLM training pipeline from pre-training on internet-scale data through supervised fine-tuning and RLHF alignment, with practical code examples at each stage.
Understand the message format, system/user/assistant roles, temperature, max_tokens, top_p, and other parameters that control OpenAI chat completion behavior.
Learn to build an AI agent for Know Your Customer and Anti-Money Laundering that verifies identities, screens against sanctions lists, monitors transactions, and generates risk alerts.
Learn how to model complex agent workflows as directed acyclic graphs with dependency resolution, parallel execution of independent tasks, and topological sorting for correct execution order.
Sales platforms deploy AI agents that autonomously prospect, personalize outreach, follow up, and book meetings, transforming the sales development function.
A bad tool description costs you 30%+ in argument accuracy. We share the contract-style template — purpose, when-to-use, when-NOT-to-use, parameter constraints, two examples — that lifts CallSphere's Healthcare 14-tool stack to 96% function-arg accuracy across GPT-4o, Claude, and Gemini.
Packet loss above 1% and jitter above 30ms turn a confident AI voice into a robotic stutter. Here is the Grafana + Prometheus + Twilio Voice Insights stack we use to catch network rot in under sixty seconds.
Master the art of combining vector similarity search with metadata filters, including pre-filter vs post-filter strategies, performance implications, and query design patterns across databases.
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