When people talk about documentation, they usually think about SOPs, process documents, PRDs, or technical design documents.

Those are important, but documentation is much broader than that.

A well-written Jira ticket is documentation.

A Slack message explaining why a decision was made is documentation.

Good code is documentation.

Meeting notes are documentation.

Anything that captures knowledge and context in written form becomes part of an organization’s memory.

Even before AI, writing was valuable.

Written communication is often more effective than verbal communication because writing forces clarity. When you write, you think. You identify gaps, challenge assumptions, and communicate ideas in a structured way.

Writing also helps with onboarding. A new team member can understand the product, systems, and decisions much faster when knowledge is written down instead of being spread across conversations and people’s memories.

The importance of writing becomes even greater in the era of AI agents.

Humans are good at filling gaps. They ask questions, observe others, and gradually build context. We expect a new employee to take days or weeks to become productive.

AI agents work differently.

They can only learn from the information available to them. If important decisions only happened in meetings, an agent cannot access them. If operational knowledge exists only in someone’s head, an agent cannot use it.

The quality of your AI agents will increasingly depend on the quality of your organization’s writing.

Companies with clear documentation, well-written tickets, thoughtful discussions, and well-maintained codebases will have a significant advantage because their agents can understand context much faster.

In the past, poor writing slowed down people.

In the future, poor writing will limit what AI can do.

Writing is no longer optional.

It is becoming one of the most important skills in the AI era.