How do AI agents actually hand off files right now?

Genuinely curious how people handle this. I’ve been running pipelines where an agent produces an artifact (fine-tuned weights, eval results, a dataset slice) and needs to make it accessible — to a human, to another service, or to log it somewhere. The options I kept running into: • S3 presigned URLs — works but 15 minutes of setup for every new project • Hugging Face Hub — great for models, awkward for arbitrary artifacts • Pastebin-style services — 10 MB limits, no binary support • “Just commit it to git” — please no What I ended up building was basically WeTransfer as a single CLI command: \\# from inside a script or agent $ npm install -g transfa $ tf upload embed.py ▸ embed.py 757 B uploading ▰▰▰▰▰▰▰▰▰▰ 100% 18.2 MB/s signed sha256:dea1…ec5a expires 2026-05-16 → agent LINK → human LINK Returns a JSON blob with the URL, SHA-256, expiry. Works from any environment that can run a subprocess. No browser, no auth flow, no account. Open to feedback on whether this actually solves the problems