Testing Tool Execution: Verifying Agent Tool Calls and Side Effects
Learn how to test AI agent tool execution with tool mocking, call verification, parameter assertions, and side effect tracking using pytest in Python.
11 min read
Agentic AI & LLMs
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Agentic AI & LLMs
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
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Text Classification for Agent Routing: Intent Detection and Topic Categorization
Build robust text classification systems for AI agent routing using intent detection, multi-label classification, and zero-shot approaches with practical Python implementations.
10 min read
Text Preprocessing for AI Agents: Cleaning, Normalizing, and Preparing Input Data
Build robust text preprocessing pipelines for AI agents covering HTML stripping, Unicode normalization, tokenization, length management, and input sanitization with production-ready Python code.
9 min read
Text Similarity and Semantic Matching for Agent Applications
Implement text similarity and semantic matching for AI agents using cosine similarity, sentence-transformers, cross-encoders, and deduplication strategies with production Python examples.
10 min read
Text Summarization Techniques for AI Agents: Extractive vs Abstractive Methods — Abstractive text summarization
Abstractive text summarization: compare extractive and abstractive summarization methods for AI agents, learn to control summary length and quality, and implement key point extraction pipelines in Python.
9 min read
Text-to-Speech for AI Agents: ElevenLabs, OpenAI TTS, and Play.ht Compared
A detailed comparison of ElevenLabs, OpenAI TTS, and Play.ht for voice AI agents — covering voice quality, latency, voice cloning, emotion control, and pricing to help you choose the right TTS engine.
11 min read
Text-to-SQL Agents: Converting Natural Language Questions to Database Queries
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.
14 min read
Ticket Classification with AI Agents: Auto-Routing Support Requests
Implement an AI-powered ticket classification system that automatically assigns priority, department, and SLA to incoming support requests using multi-label classification and intelligent routing rules.
11 min read
Time-Series Data for AI Agents: Tracking Metrics, Costs, and Performance Over Time
Learn how to store and analyze AI agent time-series data including token costs, latency, and throughput using TimescaleDB, partitioning, retention policies, and aggregation queries.
11 min read