Sep 14, 2026

Welcome: how this digest works

What you'll get each week, how we decide what's worth your time, and how to read AI news without being fooled by it.

1. 01Tutorial

   What every issue contains

   Four to six items: what changed, why it matters if you use, build or sell with AI, and one thing to try that week — a prompt from the library or a lesson from a course path.

   Why it matters: AI moves fast. The goal is fewer, better signals, not another firehose.

2. 02Safety

   How to read an AI announcement without being fooled

   Check the date and the primary source (the vendor's own post, paper or documentation), look for what the headline number was measured on, and wait for independent testing before changing a production system.

   Why it matters: Benchmark scores and demo videos rarely tell you how a model behaves on your own data. Test on your own cases first.

3. 03Tools

   Use the calculators when a price or model changes

   When a new model or price appears, plug it into the token-cost and agent-cost calculators on the Tools page to see what it would really cost for your workload.

   Why it matters: A cheaper price per token can still cost more overall if the model needs more steps or retries.