Kanzi has always had comprehensive documentation. What it lacked was a fast path from question to answer. Finding the right page, navigating to the right section, cross-referencing the API reference — it all adds friction to the development loop, especially when you are deep in a problem and just need a specific answer quickly.
Ask AI eliminates that friction. It is a custom AI assistant built directly into the Kanzi documentation at docs.kanzi.com, available on every page, at every version. It knows the Kanzi documentation, the Kanzi community, and the Kanzi help center — and it answers in plain language, with context, without requiring you to know exactly which page to look at first.
Ask AI is a custom large language model assistant powered by kapa.ai, trained specifically on Kanzi content: the full online documentation, the Kanzi community, and the Kanzi help center. It is not a generic AI coding assistant repurposed for Kanzi — it is a purpose-built assistant grounded entirely in verified Kanzi source material.
It is accessible from a persistent Ask AI button in the top navigation of every Kanzi documentation page. Click it, ask your question in plain language, and get a contextually grounded answer — no search query crafting, no page-by-page scanning.
Keep in mind: AI generates the answers and they are not always accurate. Rate the answers to help Rightware improve the assistant over time.
The Ask AI panel offers three distinct modes, each suited to a different workflow:
The primary mode. Ask any question about Kanzi — how a feature works, how to implement something, what a property does, how to structure an application — and receive a plain-language answer grounded in the Kanzi documentation. Answers include references to the source documentation so you can verify and read further.
Example questions:
appfw and droidfw?"A traditional keyword search across the Kanzi documentation, for when you know exactly what you are looking for and want to navigate directly to the right page rather than receive a synthesized answer.
Connects your AI agent — Claude Code, Cursor, or any MCP-compatible tool — directly to the Kanzi Docs MCP server at docs.mcp.kanzi.com. Instead of copying answers out of the browser, your AI coding assistant gets a live, structured feed of Kanzi documentation it can query autonomously while writing code. Ask AI becomes the bridge between the documentation and your development environment.
For complex, multi-part questions — architecture decisions, migration planning, debugging a rendering pipeline, understanding a non-obvious interaction between Kanzi systems — the Deep thinking toggle activates extended reasoning before producing an answer. This is particularly useful for questions that require the assistant to synthesize information across multiple areas of the documentation rather than retrieving a single targeted answer.
Toggle it on for questions like:
The Kanzi AI assistant draws from three authoritative sources:
| Source | What It Covers |
|---|---|
| Kanzi online documentation | Full framework reference, tutorials, best practices, working-with guides, API references, release notes, and migration guides across all supported Kanzi versions |
| Kanzi community | Community discussions, solved problems, patterns, and real-world usage examples shared by Kanzi developers worldwide |
| Kanzi help center | Support articles, known issues, licensing guidance, and troubleshooting resources from the Rightware support team |
This means Ask AI can answer both "how does this feature work in principle" questions from the docs, and "how have other people solved this" questions from the community — in the same response.
The biggest cost of documentation is the time between having a question and getting back to writing code. Ask AI collapses that gap. Instead of navigating through five pages to understand how the Activity system's transition authoring works, ask the question and get the answer in seconds.
Kanzi is a deep framework. New team members face a steep learning curve when navigating a documentation set that spans rendering pipelines, the property system, data sources, localization, and a large C++ API surface. Ask AI gives every team member — regardless of experience level — a direct path to an answer without needing to know the documentation architecture first.
The Kanzi documentation covers versions from 3.6 through 4.0. Ask AI is grounded in all of it, and can answer version-specific questions — what changed, what was added, what the recommended approach is in a specific version — without requiring you to navigate to the right version's documentation manually.
The Use MCP mode takes the assistant beyond the browser entirely. Connecting your AI coding tool to the Kanzi Docs MCP server means the same grounded, documentation-accurate answers that Ask AI provides in the browser are available inside your editor, inside Claude Code, inside Cursor — wherever you write Kanzi code.
Ask AI is available now on every page of the Kanzi documentation. No setup, no account, no configuration required.
For MCP setup instructions, see the Kanzi AI tools documentation.
Rightware is the pioneering provider of automotive graphics software tools and services. Uniquely positioned with foundations in gaming, graphics, and UI development, and laser-focused on the automotive industry, Rightware's Kanzi One all-in-one HMI toolchain enables automotive OEMs to deliver the best user experience for their customers — transforming the traditional HMI into a real Signature UI.
Headquartered in Finland, Rightware has a presence in China, France, Germany, Italy, Japan, South Korea, and the USA. As a ThunderSoft company, the combined skills and assets of both organizations deliver fully integrated HMI solutions, engineering support, and design services anywhere in the world. Kanzi One is the market-leading automotive UI tool, trusted by over 50 automotive brands around the globe.
Kanzi Framework 4.0.0 — docs.kanzi.com