Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
A step-by-step tutorial for building a voice AI agent using the OpenAI Realtime API — covering WebSocket setup, audio streaming, function calling, session management, and production deployment patterns.
Implement a voice interface for AI agents using the MediaRecorder API, real-time audio waveform visualization with Canvas, and audio playback controls in React.
Build an intelligent voicemail system that transcribes messages, scores priority, extracts action items, and schedules callbacks automatically. Covers voicemail detection, message processing, and smart notifications.
Create an AI writing coach that provides layered feedback on grammar, style, structure, and tone — with actionable revision suggestions and progress tracking across writing sessions.
Master caching strategies for AI agents — from response caching and embedding caching to tool result caching and smart invalidation — to reduce latency, cut API costs, and improve throughput.
Design a multi-layer caching architecture for AI agent systems using Redis, application-level caches, and TTL strategies to reduce latency and LLM API costs while preventing cache stampedes and stale data problems.
Learn how to implement exact-match, semantic, and hybrid caching for AI agent responses. Achieve 30-60% cost reduction with proper cache architecture, hit rate optimization, and smart invalidation strategies.
Build an AI calendar agent that prepares meeting briefs, generates post-meeting summaries with action items, and sends automated follow-up emails using Google Calendar webhooks.
Build a complete call analytics pipeline that records calls, transcribes them, and extracts actionable insights using AI. Covers recording APIs, speaker diarization, sentiment analysis, and trend detection.
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