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When AI Gets Too Helpful: Understanding RAG
LLMs hallucinate because they’re trained to answer even when they’re unsure. RAG (Retrieval-Augmented Generation) reduces this by letting the model “look up” relevant documents first, grounding responses in real sources instead of guesses.
Equip Your AI with Skills
This article explores how Claude Agent Skills turn best practices into reusable AI capabilities, from scaffolding a well-architected API to running a senior-level code review in minutes.
Picking the right AI for your SaaS
Choosing the right AI for your SaaS isn’t about picking the most powerful model, it’s about picking the right one for the job. This guide breaks down real-world AI pricing, performance, and trade-offs to help you ship smarter while saving money.
Hello World, MCP - Building a Safe SQL Assistant for Claude Desktop
Build a secure MCP connector that gives Claude Desktop safe, read-only access to a local PostgreSQL database, eliminating context dumping while protecting your data.
Local AI vs. ChatGPT: Face-off
Cloud LLMs like ChatGPT offer speed and accuracy, while local models trade intelligence for privacy and zero cost. This hands-on comparison shows where each one wins.
Local LLMs for Development: Privacy & Power with Ollama + Crush
Cloud LLMs are convenient, but they come at a cost: your data. In this tutorial, we build a fully private, offline AI coding setup using Ollama and Crush, running modern language models locally while keeping your code, prompts, and ideas entirely on your own machine.
Taskify: Building a Spec-Driven React App with SpecKit and Codex
In this tutorial, we explore a new way to build with AI. Using SpecKit and Codex, we create Taskify, a React TypeScript app defined entirely by its specification.
Mailstify #7: Finalizing, Cleanup, and Conclusion
We’ve reached the finish line of Mailstify. In Part 7, we add campaign status tracking, sent-email counters, and wrap up our end-to-end architecture, proving how far pure Rails can go without external gems.
Mailstify #6: Asynchronous Bulk Dispatch (Solid Queue)
With our campaigns ready and polished, it’s time to send them at scale. In Part 6, we harness Solid Queue to power fully asynchronous, background email dispatch, turning Mailstify into a true bulk sender built entirely on native Rails.
Mailstify #5 - Email Logic and Previews (Action Mailer)
With the campaign content styled, it’s time to wire up the delivery pipeline using Action Mailer. We’ll connect rich text to personalized email templates and configure live browser previews to verify your designs before sending.
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