FDE COMMONS/by AIR

THE CENTRAL FRAMEWORK

Eight FDE segments.
One question: what is being deployed?

Use the product boundary, not the title, to predict the work. Select a segment for its technical stack, customer environment, success measure, and preparation path.

01
MODEL · DEPLOYS MODEL CAPABILITY

Frontier Model Deployment

Turn model capability into a production customer workflow.

  • Python
  • TypeScript
  • APIs
  • Cloud
  • LLM systems
Explore →02
AGENT · DEPLOYS AGENT OR AI APPLICATION

Agent / Application FDE

Integrate an AI application into a real business workflow.

  • Python
  • TypeScript
  • Backend APIs
  • Tool use
  • Retrieval
Explore →03
DATA · DEPLOYS PLATFORM + DATA MODEL

Enterprise Data / Platform FDE

Adapt a platform to customer data, applications, and operations.

  • SQL
  • Data pipelines
  • Distributed systems
  • Cloud
  • Containers
Explore →04
INFRA · DEPLOYS MODEL SERVING INFRASTRUCTURE

Inference / ML Systems FDE

Make models fast, reliable, scalable, and economical in production.

  • Python
  • PyTorch
  • GPU fundamentals
  • Kubernetes
  • Networking
Explore →05
EVAL · DEPLOYS MEASUREMENT SYSTEM

Evaluation / Observability FDE

Make AI quality measurable in development and production.

  • Python
  • TypeScript
  • Eval methodology
  • MLOps
  • Telemetry
Explore →06
DOMAIN · DEPLOYS DOMAIN WORKFLOW

Vertical AI FDE

Combine engineering depth with a regulated or specialized domain.

  • Full-stack engineering
  • Domain modeling
  • Data provenance
  • Compliance
  • Workflow integration
Explore →07
MISSION · DEPLOYS MISSION SYSTEM

Public Sector / Mission FDE

Deploy into constrained, secure, and mission-critical environments.

  • AWS/Azure
  • Kubernetes
  • Terraform
  • Networking
  • Security
Explore →08
PHYSICAL · DEPLOYS PHYSICAL SYSTEM

Physical AI / Robotics FDE

Deploy software, models, and hardware into real environments.

  • Robotics software
  • Sensors
  • Networking
  • Edge systems
  • Fleet reliability
Explore →