How Videograph keeps product and API documentation updated with AI
Videograph migrated their docs from ReadMe to Documentation.AI. The main goal was to making docs easier to implement and maintain across teams.
“Documentation.AI has made it much easier for our product team to maintain documentation as our platform evolves. The AI Workflows, especially with Git repository context, help us keep our product and API docs closer to the actual product without adding extra manual effort.”
Company
Videograph.ai
Industry
Video infrastructure, live streaming, video on demand
Primary team using Documentation.AI
Product Team
Previous Platform
ReadMe
Main reason for switching
Easier documentation maintenance with AI Workflows
Key workflow
Connecting Git code repositories as context to help keep docs updated
Summary
Videograph moved from ReadMe to Documentation.AI to make documentation easier for its product team to maintain.
With Documentation.AI, Videograph now uses AI Workflows and Git repository context to keep product guides and API documentation closer to the actual product as it evolves.
What changed:
Before Documentation.AI, Videograph was using ReadMe to publish documentation, but keeping docs updated as the product changed required more manual effort.
After moving to Documentation.AI, Videograph gained:
AI Workflows to help review and update documentation
Git repository context for more accurate AI-assisted suggestions
A simpler workflow for the product team to maintain docs
Product guides and API documentation in one place
A better way to keep documentation aligned with product and engineering changes
Outcome:
A simpler, AI-assisted documentation workflow that helps Videograph keep product and API documentation accurate as the product evolves
About Videograph
Videograph provides video APIs for live streaming and video-on-demand workflows. Videograph is a product of YuppTV, with more than $50 million in funding from investors including KKR.
The challenge
Before moving to Documentation.AI, Videograph was using ReadMe for its documentation.
As the product evolved, the team needed a easier way to maintain both product guides and API documentation. Their documentation is owned and maintained by the product team, so the workflow had to be easy to update without adding extra engineering overhead.
For a video infrastructure product, documentation changes frequently. Product flows, API behavior, dashboard workflows, authentication steps, and live streaming details need to stay aligned with the actual product.
Videograph wanted a documentation system that could help them keep docs fresh, not just publish static content.
Why Videograph moved to Documentation.AI
Videograph moved from ReadMe to Documentation.AI to simplify documentation creation and maintenance.
Documentation.AI AI Agent and AI workflows features gave Videograph easiest support ongoing documentation maintenance.
The biggest value for Videograph is Documentation.AI’s AI Workflows.
How Videograph uses AI Workflows
Videograph now uses Documentation.AI’s AI Workflows to keep its documentation aligned with product and engineering changes.
The team connects its Git code repositories as context inside Documentation.AI. This gives AI Workflows better visibility into how the product is evolving, so the system can help review documentation, identify outdated sections, and suggest updates based on actual product context.
Instead of relying only on manual reviews, Videograph can use AI Workflows to make documentation maintenance more systematic. The product team can review suggested improvements, update product guides, and keep API documentation closer to the current product experience.
This is especially useful for Videograph because its documentation covers both user-facing product workflows and technical API implementation. With Git-connected context, the team can reduce manual effort while keeping docs more accurate and useful for customers.
The solution
Documentation.AI helped Videograph bring product guides and API documentation into a simpler, AI-assisted documentation workflow.
Videograph’s documentation now gives users a clearer path across key workflows such as authentication, content and playback basics, VOD uploads, live streaming, live sessions, and API usage. The docs cover both dashboard-based workflows and API-based workflows, making it easier for different types of users to find what they need.
Behind the scenes, AI Workflows help the Videograph team maintain those docs over time. By connecting Git repositories as context, Documentation.AI helps the team keep documentation closer to product reality as code, features, and workflows change.
The impact
Since moving to Documentation.AI, Videograph has been able to:
Use AI Workflows to keep documentation updated as the product changes
Connect Git code repositories as context for better AI-assisted documentation updates
Maintain product guides and API documentation in one place
Make it easier for the product team to own and update documentation
Reduce the manual effort required to review and maintain docs
Improve documentation accuracy across technical workflows