Tutorials
Hands-on walkthroughs for building with LLMs, agents, APIs and AI coding tools — written to be followed, not skimmed.
A practical guide to AI automation: a screening process for candidate workflows, honest ROI math, human-in-the-loop design patterns, governance, and a 90-day rollout that survives contact with reality.
Everything between your first API call and a service you can put in front of users: key handling, streaming, structured outputs, tool calling, retries and token accounting.
Claude Code puts an agent in your terminal that can read, edit and test a real codebase. Here is how it works, how to configure it safely, and how to use it on real work.
Prompt engineering is specification writing, not incantation. This guide covers the structure that works, the techniques that are overrated, and how to test prompts like code.
We help companies pick the right AI tools, wire them into existing systems and avoid the ones that quietly do not scale. Tell us what you are trying to build and we will tell you what we would use — no charge for the conversation.
The AI signal without the hype — new models, tools worth your time and what actually shipped. One email, no vendor pitches.