Vector Search Fundamentals: Embeddings, Similarity Metrics, and Approximate Nearest Neighbors
Master vector search architecture. Learn embedding models, similarity metrics, ANN algorithms, vector databases, and building semantic search applications.
Articles and insights in AI & Automation (17 posts)
Master vector search architecture. Learn embedding models, similarity metrics, ANN algorithms, vector databases, and building semantic search applications.
A technical breakdown of a background Curator cron job loop in the Hermes agent that consumed 353 million tokens overnight, and a step-by-step guide to locking down background AI workloads.
Learn how to install MCP servers in VS Code for Claude Desktop, Cursor, Cline, and Devin (formerly Windsurf). Covers manual setup, the 1 Click MCP Installer By VePrompts extension, config file locations, and troubleshooting common errors.
A practical guide to building reliable multi-step AI agent systems, covering single vs. multi-agent architectures, tool use patterns, memory management, handoff protocols, and failure recovery using LangGraph and CrewAI.
Master AI-assisted development. Learn AI code review, test generation, documentation maintenance, refactoring assistance, and integrating AI into your workflow.
Struggling with Google Antigravity IDE rate limits? Explore why your Gemini quota and Claude tokens are draining so fast, plus practical strategies to manage your compute limits.
A deep dive into why AI coding tools across the board are hitting usage limits faster than ever. From Claude Code to Google Antigravity to Kimi, the era of near-unlimited AI assistance appears to be ending. Here is what is actually driving it, and what comes next.
A deep dive into Kimi K2.5, Moonshot AI's powerhouse coding model. API pricing, benchmark performance, agentic capabilities, and the one data privacy tradeoff you need to know about.
I share my approach to AI email automation for small businesses, including practical setup guides, ROI calculations, and the tools that actually work.
Discover how multimodal AI can transform small business operations by processing text, images, and audio simultaneously. Covers practical applications from product cataloging to customer support.
I share my approach to automating compliance reporting tasks using Python scripts and AI tools, with step-by-step examples for common compliance workflows.
I compare the best AI meeting assistants for recording, transcription, and action item automation, including Otter.ai, Fireflies.ai, and open-source alternatives.
Learn practical strategies for effectively using AI coding tools like GitHub Copilot and ChatGPT while avoiding common pitfalls. Discover best practices for prompting, verification, and maintaining code quality.
Compare local LLM solutions like Ollama and LM Studio against cloud AI services like ChatGPT. Learn which approach best fits your small business needs for privacy, cost, and performance.
I share my step-by-step process for fine-tuning open-source large language models like Mistral and Llama 3 for business needs, covering LoRA, dataset preparation, and deployment strategies.
I share my experience with AI code review tools for small development teams, comparing GitHub Copilot, CodeRabbit, and Qodana for automated code analysis and security scanning.
I share my hands-on experience implementing AI agents for e-commerce automation, covering inventory management, dynamic pricing, and customer support using LangChain and AutoGPT frameworks.