Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
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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 an AI-powered market research agent that gathers data from multiple sources, performs competitive analysis, detects industry trends, and generates structured reports with visualizations for strategic decision-making.
Learn to build an AI agent that parses financial statements, calculates key ratios like current ratio and ROE, performs trend analysis across quarters, and generates risk assessments with forward-looking forecasts.
Deep dive into building robust text-to-SQL agents that understand database schemas, generate accurate SQL from natural language, validate queries before execution, and gracefully handle errors through iterative refinement.
Build an AI agent that processes survey responses at scale — categorizing open-ended answers, detecting sentiment, extracting recurring themes, and generating executive-ready reports with statistical backing.
Build an AI agent that extracts text from documents, aligns corresponding sections, detects meaningful differences between versions, and generates clear summaries highlighting what changed and why it matters.
Build an AI agent that reads and writes spreadsheets, generates formulas from natural language descriptions, cleans messy data, creates pivot tables, and applies conditional formatting — turning plain English requests into Excel operations.
Learn how to connect AI agents to the phone network using Twilio Voice, TwiML, and Media Streams. Covers bi-directional audio, real-time speech processing, and production deployment patterns.
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