Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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How to build AI agents that catch and fix their own errors through output validation, reflection prompting, retry with feedback, and graceful escalation when self-correction fails.
Sub-second voice agent with zero idle cost: API Gateway WebSocket ($connect/$disconnect/$default), Lambda per-message handler, DynamoDB session store, and OpenAI Realtime over WebSocket.
The online pet care market hits $36.4B in 2026 with subscription-driven loyalty. AI chat reduces pet D2C support tickets by 70% on subscription edits, allergens, and feeding guides. Here is the playbook.
Technical deep dive into agent memory architectures covering conversation context, vector DB persistence, and experience replay with implementation code for production systems.
The SAFE Act draws a hard line: quoting rates or recommending a loan product is licensed-MLO activity, period. Here is what an AI voice agent can and cannot say at a mortgage shop in 2026.
Reflection turns a one-shot LLM into an agent that critiques and rewrites itself. We cover Reflexion-style loops, separate-critic vs same-agent reflection, and how CallSphere uses critics on agent transcripts before they hit Postgres.
Step-by-step tutorial on building an MCP server in TypeScript, registering tools and resources, handling requests, and connecting to Claude and other LLM clients.
Technical guide to building AI agents that automate document processing — PDF parsing and extraction, email classification and routing, and spreadsheet analysis with reporting.
How to structure AI agents as microservices with proper service boundaries, gRPC communication, circuit breakers, health checks, and service mesh integration.
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