
Build a software neural browser with permission boundaries
Plan a focused browser companion around selected content, visible data access, and a draft that cannot act on its own.
FROM IDEA TO BOUNDARY
Build a smaller, more understandable first version.
Plan software neural browser architecture around a focused interface, selected content, processing boundaries, reviewed output, and honest failure states.
A browser companion, a standalone application, and a browser-engine project imply different amounts of work. Start with the problem rather than assuming a new engine is necessary. A selected-passage assistant can be a useful architecture exercise without becoming a complete browsing platform.
Chrome documents a side-panel interface for extensions. That is one possible surface for a companion workflow, not a universal compatibility promise. Page access, processing, storage, and operational support remain separate implementation questions.
For a proposed prototype, separate the page, the interface, the processing component, and any external service. Name every field transferred between them. A selected excerpt is data; the user's request is an instruction; a generated response is output to inspect.
Do not turn model output into executable markup or an unrestricted command. Start with a constrained draft and a visible source reference. If the prototype later needs actions, define those permissions separately instead of allowing the reading feature to accumulate authority by accident.
A changed tab, an empty selection, a canceled request, and an inaccessible service should have understandable outcomes. Keep the original task visible and avoid showing a late result as though it applies to a newly selected source.
A demonstration with fixed example responses can test layout, but it does not establish live model quality. Mark the boundary clearly during testing. This site's articles describe implementation plans; no model endpoint, extension download, or account service is implied.
Test whether a reader can understand the input scope, find the supporting passage, recognize an unsupported answer, and cancel an operation. Include awkward documents and failed requests in the test set. A clear error path is part of the product, not a concession to an unfinished interface.
Use the extension guide for a detailed permission-first plan. Then examine vector retrieval and local-versus-remote processing only where the task needs them. Each added component should have a purpose, a boundary, and its own evaluation questions.