  To tackle the challenge of producing tractable phylogenetic trees in contexts
where complete information is available, we introduce APOGeT: an online,
pluggable, clustering algorithm for a stream of genomes. It is designed to run
alongside a given experimental protocol with minimal interactions and
integration effort. From the genomic flow, it extracts and displays species'
boundaries and dynamics. Starting with a light introduction to the core idea of
this classification we discuss the requirements on the genomes and the
underlying processes of building species' identities and managing hybridism.
Though stemming from an ALife experimental setting, APOGeT ought not be limited
to this field but could be used by (and benefit from) a broader audience.
