Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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Build a production-grade API key management system for AI agent platforms. Covers key generation, secure hashing, scoping, rate limiting, rotation strategies, and revocation with FastAPI.
Learn how to build comprehensive RAG evaluation systems with online metrics, user feedback loops, automated quality scoring, A/B testing, and degradation detection for production retrieval pipelines.
Design AI agent systems that maintain useful service even when critical components fail. Learn degradation levels, feature flags, reduced-functionality modes, and transparent user communication strategies.
Master the full spectrum of failure modes in AI agent systems — from LLM hallucinations and tool execution errors to network timeouts and business logic violations — with structured handling strategies for each category.
Learn how Self-RAG enables language models to decide when to retrieve, evaluate their own outputs for relevance and support, and regenerate when quality is insufficient. Full implementation guide.
Master prompt templating techniques using Jinja2 and Python f-strings. Learn variable injection patterns, conditional blocks, loop constructs, custom filters, and safety practices for dynamic prompts.
Build an AI agent that manages social media presence across platforms by scheduling content, posting at optimal times, tracking engagement metrics, and generating AI-powered responses to comments.
Connect your AI agent to Notion for automatic page creation, database row updates, and block-level content manipulation using the Notion API, with practical Python examples for common automation patterns.
Implement production-grade retry logic for LLM API calls using exponential backoff, jitter, and the Tenacity library. Learn when to retry, when to stop, and how to avoid the thundering herd problem.
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