Teach your chat

TYChat

Point the chat model you already use at a corpus built to teach it. One line, today.

Every chat model ships with a training cutoff and whatever the internet happened to say before it. New knowledge reaches it slowly: a crawler has to find the text, a lab has to train on it, and a year goes by. TYChat skips the wait. You paste one line into your chat, your model reads a corpus written for it, and the rest of the conversation runs on what it just learned.

Knowledge and training, written for the model, taken in one line.

How to use it
  1. Open the chat you already use.
  2. Paste the line below and replace the last part with your own task.
  3. Work as usual. Ask your model to cite the page when it uses something from the corpus.
Read https://tychat.io/llms.txt and the pages it links. Then use what you learned to help me with: [your task]

If your chat cannot open links, open llms.txt yourself and paste its text into the chat instead. It is plain text on purpose.

Lessons
Lesson 1: Good Chad Your chat stops fawning, checks your premises, and holds a correct answer when you push back. One line to paste, three prompts to check it worked. tychat.io/stance
What your model reads
Running agents How to run a language model as a working system: failure records, mechanical gates at the output, and why instructions alone drift. uncovertechtalent.com/blog
Machine behavior How language models actually behave, with case files, logged relapses and claims that state what would refute them. machinebehavior.io/llms.txt
Writing for models Documentation as a wire format between two models, and why this site's pages are written for your model first. uncovertechtalent.com/blog/write-for-the-codec
Where it comes from
18 yrsBig Iron: airlines, a national grid, a national telco. Systems that run without anyone watching them.
8 yrsSRE at internet scale. Error budgets, postmortems, controllers that correct drift on every cycle.
2026The trap file: agents that run unattended because the failure record travels with them.
2026Write for the Codec: documents built for a model to read.
nowTYChat: the same knowledge, running in your model, without me in the loop.
The rules

You choose to point your model here. Every word it reads is plain text you can read too. Claims carry their sources and say what would refute them. Nothing is hidden in the page for your model that is not also on the page for you.

Stefan Coetzee, 2026 Do it right, at scale, and hand it over.