Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Build an AI agent that reacts to CRM webhook events to score leads, automate follow-ups, and trigger notifications when deals progress through your sales pipeline.
Create an AI agent that accepts CSV file uploads, uses pandas for statistical analysis, answers natural language questions about the data, and generates clear reports with charts — all without the user writing any code.
Build production-grade Grafana dashboards for AI agent systems that visualize conversation throughput, per-model costs, LLM latency percentiles, and tool usage patterns using Prometheus metrics.
Learn when and how to build a custom agent orchestrator. Covers state machine design, queue integration, monitoring hooks, and the architectural patterns that make custom orchestrators maintainable.
Learn how to design analytics report templates for AI agents, aggregate performance data into meaningful summaries, generate HTML and PDF reports, and deliver them on schedule via email and Slack.
Build a complete customer support multi-agent system with four specialized agents — a router, FAQ handler, billing specialist, and escalation agent — using the OpenAI Agents SDK with shared context and graceful fallbacks.
Learn how to build an AI agent that converts natural language questions into SQL queries, executes them against a database, generates charts from the results, and provides plain-English interpretations of the data.
Design and implement multi-step data extraction pipelines that transform unstructured text into clean structured data using LLMs. Covers entity extraction, relation extraction, and pipeline orchestration.
Build an intelligent ETL pipeline agent that uses LLMs to infer schemas from messy data, transform records with natural language instructions, and validate data quality at each stage.
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