Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build an AI agent that provides real-time public transit information including route planning, live delay updates, accessibility features, and multimodal trip suggestions for city residents.
Learn to set up Weaviate, design schemas with vectorizer modules, import data, and run hybrid keyword-plus-vector searches using Weaviate's GraphQL API and Python client.
Learn how to craft system instructions that produce consistent, reliable agent behavior — covering instruction engineering, behavioral boundaries, persona design, and techniques for preventing instruction drift.
Build an AI agent that automatically matches incoming payments to outstanding invoices using fuzzy matching, handles exceptions, and generates reconciliation reports.
Learn how to build an AI agent that helps shoppers discover products through natural language search, personalized filtering, side-by-side comparisons, and recommendation engines tailored to individual preferences.
Learn how to use AsyncOpenAI with Python's asyncio to make concurrent API calls, implement connection pooling, and build high-throughput AI pipelines.
Learn how to build an AI agent that transforms natural language requirements into working, tested code. Covers prompt decomposition, language selection, code validation, and automatic test generation.
Master Zod for building type-safe AI agent tools. Learn how to define schemas for tool inputs, validate LLM-generated arguments, parse structured outputs, and handle validation errors gracefully in TypeScript agent applications.
Build a complete lead qualification chat agent with structured question flows, conditional branching logic, real-time lead scoring models, and CRM integration to convert website visitors into qualified sales opportunities.
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