> For the complete documentation index, see [llms.txt](https://docs.heisenware.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.heisenware.com/release-notes/v77-more-intelligence.md). # v77 — More intelligence ![](https://lh7-qw.googleusercontent.com/docsz/AD_4nXdfcNVj5MARnW9Mz-s_4hi8IAhJnbMLq5D6csBh7AxAPNi3OJqi6pDXYfpvUxph23RHPRDspFNjTLAvs9uGfQ7OZlJQZ47dXsRfO2ArOaRV_DiDau_siRKvPsiEuR_0NbTKtIbzmasxIFdrWYbvFKBsLxiO?key=chRXiLUrI54Os_fCIQ1Z3w) ## Features * Added “Artificial Intelligence” Agent, providing a conversational chat interface and an initial RAG AI implementation * Largely extended App Builders’s linkage highlighting. Highlighting in general works in all directions and across backend and frontend. Input items can now receive data from multiple (and even mixed) sources. * Data updates are now visible via animated item logos of the corresponding executors. * Low-Code functions can be commented * Better UX support for large input objects * Automatic full-app snapshotting (backup) for each new deployed version ## Fixes * Snaplines are largely fixed. They react only on visible widgets and appear during resizing as well. Widgets can be resized in a 10px grid only, making it easier to align them. * Mobile and tablet screen scalings on production apps are fixed and the performance got optimized * Several fixes in SensorThings API Connector * App Installation message shows only on platforms that support PWAs * Entirely removed buggy undo/redo functionality --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.heisenware.com/release-notes/v77-more-intelligence.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.