Agent-Native: Keeping AI Edits in Shared Application State

AICodeKing14m 23s
0 comments · 0 votesOpen discussionClose discussion
Sign in to join the discussion

    Video summary

    The walkthrough starts with a presentation editor, where a user can change a heading or reorder slides directly, then ask an agent to continue from the updated deck. It emphasizes checking whether the agent preserves the manual heading, targets the open slide and retains the intended slide order, rather than judging only the polish of its generated draft.

    The implementation discussion separates shared application data from transient interface context. Defined actions validate inputs and permissions, while view and selection identifiers tell the agent which records to retrieve. Interface controls and agent tools can use different operations while still working against the same underlying deck and locking mechanism.

    The video proposes testing one small workflow before expanding: edit a draft manually, ask the agent to use the current version, then switch records and repeat. The examples remain alpha software, and generated revisions, exported layouts, model behavior and change recovery still need inspection. Promotional credits, donation appeals and membership requests are omitted.

    Original YouTube thumbnailWatch on YouTube

    Share this page

    A simple flat illustration of an editable page on black beside the blue and white headline Shared Agent Context. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 15 October 2026 and duration 14m 23s.

    An Agent-Native Slides walkthrough shows how shared actions and current selection context can let people and AI agents edit the same saved work without treating chat history as the application state.