We research, test, and distill what actually works. This blog shares AI best practices, insights, and hands-on examples—from prompting and automation to agent systems and workflows—so you can learn, try them yourself, and build with confidence.
Browse by topic, filter by tags, and save what’s useful.
Most people think prompting is about writing longer instructions. It isn’t. Advanced prompting is about structure, constraints, and controlling model behavior — so you get reliable output instead of random results.
n8n is one of the most powerful automation tools — but beginners often get stuck on triggers, data mapping, and workflow logic. This guide teaches you everything from start to finish, with real mental models and best practices.
RAG systems often fail not because retrieval is hard — but because teams fine-tune the wrong thing. This guide explains the real RAG pipeline, the types of retrieval strategies, and when fine-tuning actually improves quality.
Attention is the engine of modern AI. This advanced guide breaks down the main attention types, why they exist, and how to choose the right one for scale, latency, and quality.
Most meetings generate chaos: scattered notes, forgotten decisions, and unclear next steps. This guide shows how to use AI to instantly convert meetings into clean summaries, action lists, and follow-ups.
Using AI is easy. Keeping quality consistent across a growing team is not. This guide shows how to build lightweight quality control without killing speed.
Stop guessing what the AI will do. Learn a simple 4-block prompting method that gives you clear, repeatable results for real work.
Build a simple automation your team can copy and reuse: get text from a trigger, ask AI for a clean summary + action items, then send it to email or Slack—without chaos.
A calm, repeatable routine that makes AI actually useful: input → prompt → check → final. Works for email, docs, marketing, support, and admin.
