Forward-Deployed Engineering
Forward-deployed engineering is a model where engineers work directly alongside a client, embedded in their environment, building custom solutions against real problems rather than shipping generic product from a distance. Palantir popularized the term, but the approach is older than the label—it is how defense contractors, management consultancies, and bespoke software shops have always operated when the problem is too specific for off-the-shelf tools. Alephic practices forward-deployed engineering because the gap between what AI can do in a demo and what it needs to do in a specific company's workflow is where most AI projects die. That gap does not close with better documentation or more features in a SaaS dashboard. It closes when an engineer who understands the model also understands the business context, the data, and the humans who will use the system.
Related terms:
Pace Layers
Pace layers separate complex systems into fast-changing parts that learn and slow-moving parts that stabilize, helping teams choose experiments vs. strategy.
Foundation Model
A foundation model is a large AI model trained on broad data at massive scale, designed to be adapted to a wide range of downstream tasks rather than built...
Fine-Tuning
Fine-tuning continues training a pretrained language model on a smaller, task-specific dataset so it internalizes particular behaviors, styles, or domain...