  We will present the latest developments in CutLang, the runtime interpreter
of a recently-developed analysis description language (ADL) for collider data
analysis. ADL is a domain-specific, declarative language that describes the
contents of an analysis in a standard and unambiguous way, independent of any
computing framework. In ADL, analyses are written in human-readable plain text
files, separating object, variable and event selection definitions in blocks,
with a syntax that includes mathematical and logical operations, comparison and
optimisation operators, reducers, four-vector algebra and commonly used
functions. Adopting ADLs would bring numerous benefits to the LHC experimental
and phenomenological communities, ranging from analysis preservation beyond the
lifetimes of experiments or analysis software to facilitating the abstraction,
design, visualization, validation, combination, reproduction, interpretation
and overall communication of the analysis contents. Since their initial
release, ADL and CutLang have been used for implementing and running numerous
LHC analyses. In this process, the original syntax from CutLang v1 has been
modified for better ADL compatibility, and the interpreter has been adapted to
work with that syntax, resulting in the current release v2. Furthermore,
CutLang has been enhanced to handle object combinatorics, to include tables and
weights, to save events at any analysis stage, to benefit from
multi-core/multi-CPU hardware among other improvements. In this contribution,
these and other enhancements are discussed in details. In addition, real life
examples from LHC analyses are presented together with a user manual.
