Golden context
What is the golden context?
Golden context is the validated, current and governed business knowledge an organisation allows its AI to rely on, so that what AI produces can be accurate, relevant and complete.
Golden data and golden context
The empty step is the point. With data, rules stand in for judgment. With context, nothing stands in for the Context Owner's review.
One ingredient, the hardest one
A context window holds more than business knowledge: system instructions, conversation history, tools and skills, and the data AI is given or retrieves.
Golden context is one ingredient, and the hardest to get right. Context engineering decides what AI receives for each task.
What belongs in it
- The few sources that matter, latest version only.
- The decisions already made, and why.
- What's out of scope.
- What 'done' looks like.
Why not feed it everything?
Context dilution
Too much information, too little signal.
Context pollution
Wrong or outdated information steers the answer.
Context rot
Models get less reliable as input grows, even on simple tasks.
As models get better, the payoff for getting context right only grows.