The technique using TileChannelsConcat() demonstrated in Example: Import BIL and Combine 3 Bands must be what I'm after.
We are investigating workflows to assist in detection of various forest pest species, and as a first effort are trying to correlate this past season's field observations with Manifold-processed Sentinel L1C data captured on the same date.
Here is an example visualization of the NDVI combination of Sentinel bands on the date (and in the location) in question, using the EO Browser application:
I have downloaded those L1C data (~700mb zip from https://scihub.copernicus.eu/), and have shared them on my Google Drive here.
You will find each band's lossless JP2 compressed file within the European standard "SAFE" data format container as depicted here (the TCI file is a true-colour 3-channel assembly of bands 4,3,2)
For interest's sake, a concise description of the Sentinel missions and their data is at https://eox.at/2015/12/understanding-sentinel-2-satellite-data/
Beyond pest detection, I am separately interested in automating forest fire growth detection. Sentinel revisit frequency is quite good at our higher latitude, around 3 days or so, and could be useful in automatically (and quite accurately) calculating burn extents, smoke prevalence, etc. That could be an interesting script to ship in Viewer where a paid SentinelHub API key could provide the most current imagery.