Totally Agree. The distinction between the "artifact" and the "context" is the gap where most productivity tools go to die. Your idea made me realize that Archivlyx shouldn't just be a lifeboat for data; it needs to be a bridge for cognition. If I just give you a Markdown file, I've only solved the storage problem, not the internalization problem. I’m now looking at building an "AI Context Weaver" into the export flow. The idea is to use the interaction metadata (when you saved it, what you were browsing around it) to feed an LLM that reconstructs why this piece of information mattered to you in that moment. Thanks for the push. You’ve effectively shifted my roadmap from "Data Archiving" to "Context Preservation."

the "context weaver" framing is sharp. thats the actually hard problem - not "did you save it" but "why did past-you care."

one small warning though: reconstructed context via LLM can drift from actual intent. worth storing the raw behavioral metadata verbatim alongside the inference, so users can sanity-check the reconstruction against what really happend.

artifact + context + provenance. thats the full triangle.