Introduction: AI agents become powerful when they can use tools—searching the web, querying databases, calling APIs, executing code. But tool selection is where many agent implementations fail. The agent might choose the wrong tool, call tools with incorrect parameters, or get stuck in loops trying tools that won’t work. This guide covers practical patterns for […]
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Document Processing with LLMs: From PDFs to Structured Data (Part 1 of 2)
Introduction: Documents are everywhere—PDFs, Word files, scanned images, spreadsheets. Extracting structured information from unstructured documents is one of the most valuable LLM applications. This guide covers building document processing pipelines: extracting text from various formats, chunking strategies for long documents, processing with LLMs for extraction and summarization, and handling edge cases like tables, images, and […]
Read more →Building LLM-Powered CLI Tools: From Terminal to AI Assistant
Introduction: Command-line tools are the developer’s natural habitat. Adding LLM capabilities to CLI tools creates powerful utilities for code generation, documentation, data transformation, and automation. Unlike web apps, CLI tools are fast to build, easy to integrate into existing workflows, and perfect for power users who live in the terminal. This guide covers building production-quality […]
Read more →Multi-Modal AI: Advanced Vision, Audio, and Multi-Modal RAG (Part 2 of 2)
Introduction: Multi-modal AI combines text, images, audio, and video understanding in a single model. GPT-4V, Claude 3, and Gemini can analyze images, extract text from screenshots, understand charts, and reason about visual content. This guide covers building multi-modal applications: image analysis and description, document understanding with vision, combining OCR with LLM reasoning, audio transcription and […]
Read more →Data Storytelling: How to Communicate Insights Effectively
The Presentation That Changed Everything Early in my career, I spent three weeks building what I thought was a brilliant analytics dashboard. It had every metric imaginable, interactive filters, drill-down capabilities, and real-time data feeds. When I presented it to the executive team, I watched their eyes glaze over within the first five minutes. The […]
Read more →Platform Engineering: Building Internal Developer Platforms
Platform Engineering is the discipline of building self-serve internal platforms that abstract infrastructure complexity from development teams. Unlike traditional DevOps (where developers manage infrastructure), Platform Engineering provides golden paths—opinionated, pre-configured solutions that reduce cognitive load. Gartner predicts 80% of large enterprises will have platform teams by 2026. This guide covers architecture patterns, technology choices, and […]
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