AI-powered docs, tailored to every user’s individual needs
Create dynamic docs that use product data (like roles and plans) to adapt to user needs using cookies, feature flags and more. Plus, the new AI Assistant uses the same data — and data from other sources via MCP — to give personalized answers with more context.
I’m thrilled to share what we’ve been working on: a huge launch that mark the beginning of a new chapter for GitBook.
At the core of this launch is adaptive content — a new way to create documentation that adapts instantly to the person reading it. Whether someone’s onboarding, evaluating your product, or knee-deep in your API, they’ll see docs that reflect where they are and what they need.
To supercharge adaptive content, we’re also launching the all-new GitBook Assistant — a smarter, more powerful AI assistant that doesn’t just search your docs, but understands them in context.
The Assistant integrates with adaptive content to offer personalized answers based on information like a user’s role or plan. And it can also connect to your product and other services via MCP servers to fetch real-time data that adds context to answers — or even take action like opening a support ticket or changing a product setting.
Together, these features bring us closer to the vision we’ve had for a long time: turning documentation from a static reference into something dynamic, contextual, and deeply integrated into the user journey.
If documentation used to be the map for your product, we want to make it a GPS.
We're really excited about this launch — and even more excited to see what you build with it. We'll be around all day in the comments, so feel free to ask us anything or find out more here and play around here!
Thanks so much for your continued support 💙
About Dynamic, adaptive documentation on Product Hunt
“AI-powered docs, tailored to every user’s individual needs”
Dynamic, adaptive documentation launched on Product Hunt on July 31st, 2025 and earned 158 upvotes and 11 comments, placing #14 on the daily leaderboard. Create dynamic docs that use product data (like roles and plans) to adapt to user needs using cookies, feature flags and more. Plus, the new AI Assistant uses the same data — and data from other sources via MCP — to give personalized answers with more context.
On the analytics side, Dynamic, adaptive documentation competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Dynamic, adaptive documentation performed against the three products that launched closest to it on the same day.
Who hunted Dynamic, adaptive documentation?
Dynamic, adaptive documentation was hunted by Sara Tandowsky. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Dynamic, adaptive documentation has received 23 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Dynamic, adaptive documentation including community comment highlights and product details, visit the product overview.
Sara Tandowsky
Hi Product Hunt 👋
I’m thrilled to share what we’ve been working on: a huge launch that mark the beginning of a new chapter for GitBook.
At the core of this launch is adaptive content — a new way to create documentation that adapts instantly to the person reading it. Whether someone’s onboarding, evaluating your product, or knee-deep in your API, they’ll see docs that reflect where they are and what they need.
To supercharge adaptive content, we’re also launching the all-new GitBook Assistant — a smarter, more powerful AI assistant that doesn’t just search your docs, but understands them in context.
The Assistant integrates with adaptive content to offer personalized answers based on information like a user’s role or plan. And it can also connect to your product and other services via MCP servers to fetch real-time data that adds context to answers — or even take action like opening a support ticket or changing a product setting.
Together, these features bring us closer to the vision we’ve had for a long time: turning documentation from a static reference into something dynamic, contextual, and deeply integrated into the user journey.
If documentation used to be the map for your product, we want to make it a GPS.
We're really excited about this launch — and even more excited to see what you build with it. We'll be around all day in the comments, so feel free to ask us anything or find out more here and play around here!
Thanks so much for your continued support 💙