AI is undoubtedly solving problems and simplifying workflows throughout the software development ecosphere. With folks out there using AI to write everything from dating profiles to business proposals to code, it's easy to see why some people see it as the panacea to the dreaded task of documentation. Devs are excited to hand off a chore they hate; executives salivate at the cost savings.

In this session, a senior technical writer demonstrates why AI alone can't solve tech's documentation deficit problems and how it can be used successfully to increase efficiency and make documentation less of a burden on developers. The future of documentation does indeed lie in AI - with chatbots and agentic AI becoming the norm for online help and other forms of documentation, but the knowledge must still be prepared, presented, and corrected within the AI agent. AI is a developer or technical writer's sidekick, not a replacement. Learn how to most effectively prepare your knowledge for ingestion into an agent.

1. The AI Hype We All Hear
2. What AI Can't Do (Yet) - examples, errors
3. What AI Can Do Well
4. Using AI Responsibly to Create Documentation
5. Prepping Your Documentation for AI Initiatives