  Mechanical properties of disordered networks can be significantly tailored by
modifying a small fraction of their bonds. This procedure has been used to
design and build mechanical metamaterials with a variety of responses. A
long-range 'allosteric' response, where a localized input strain at one site
gives rise to a localized output strain at a distant site, has been of
particular interest. This work presents a novel approach to incorporating
allosteric responses in experimental systems by pruning disordered networks
$\textit{in-situ}$. Previous work has relied on computer simulations to design
and predict the response of such systems using a cost function where the
response of the entire network to each bond removal is used at each step to
determine which bond to prune. It is not feasible to follow such a design
protocol in experiments where one has access only to local response at each
site. This paper presents design algorithms that allow determination of what
bonds to prune based purely on the local stresses in the network without
employing a cost function; using only local information, allosteric networks
are designed in simulations and then built out of real materials. The results
show that some pruning strategies work better than others when translated into
an experimental system. A method is presented to measure local stresses
experimentally in disordered networks. This approach is then used to implement
pruning methods to design desired responses $\textit{in-situ}$. Results from
these experiments confirm that the pruning methods are robust and work in a
real laboratory material.
