Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build an AI agent for tutoring centers that matches students with the right tutors based on subject, level, and learning style, schedules sessions, tracks progress, and communicates with parents.
Learn how to build robust input validation pipelines for AI agents using regex filters, content classifiers, blocklists, and input length limits to stop malicious input before it reaches your LLM.
Generate type-safe client SDKs from your AI agent API's OpenAPI specification. Covers spec design, code generation tools, custom templates, testing strategies, and distribution via PyPI and npm.
Build an AI notification system that scores alerts by importance, selects the right delivery channel, bundles related notifications, and learns from user engagement patterns.
Build a triage agent that classifies incoming requests, routes them to the correct specialist agent with confidence scoring, and handles ambiguous or unclassifiable inputs with fallback strategies.
Implement associative memory networks for AI agents that link related memories together, using association graphs, link strength, spreading activation, and pattern-based retrieval.
Build a production web scraping pipeline using Scrapy and Playwright that crawls websites, extracts structured content, deduplicates pages, and indexes knowledge for AI agent consumption.
Manage AI agent configurations across multiple Kubernetes clusters using GitOps workflows, config synchronization, drift detection, and environment promotion pipelines.
Build observability into your AI agent configuration pipeline. Learn change tracking, performance correlation analysis, anomaly detection, and automated rollback triggers.
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