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.
From the blog
Discover how to build AI agents that can write new Python tools at runtime, validate them in a sandbox, register them dynamically, and use them in subsequent reasoning — creating truly self-extending agent systems.
Build an AI agent that compares two versions of a document, identifies additions, deletions, and modifications, generates visual redlines, and produces annotated change summaries for legal, contract, and policy review workflows.
Learn how to build an AI-enhanced RPA bot that goes beyond traditional rule-based automation. Covers decision-making, exception handling, legacy system integration, and patterns for robust desktop and web automation.
Build an AI-powered testing agent that performs exploratory testing, automatically generates test cases, classifies discovered bugs, and produces structured reports for development teams.
Learn how to architect AI agent swarms that self-organize without a central coordinator. Covers pheromone-like signaling, emergent task allocation, and decentralized scaling patterns with Python examples.
Step-by-step guide to building a browser automation agent with Claude Computer Use — from SDK setup and screenshot capture to executing click, type, and scroll actions for real web navigation tasks.
Extend Claude Computer Use from browser automation to full desktop control — switching between applications, navigating native menus, performing file operations, and orchestrating workflows across multiple desktop programs.
Learn how to use Claude Computer Use for visual data extraction — reading HTML tables, parsing charts, extracting structured data from complex layouts, and converting visual information to JSON without any CSS selectors.
Build an AI-powered competitive intelligence agent that monitors competitor websites, detects meaningful changes, performs content diffing with sentiment analysis, generates alerts, and displays insights on a dashboard.
