AI Server Scaffolding Layer

Hansom

Scaffold a production-minded AI server into the process fast.

Hansom is the quick-start AI server layer for turning a workflow idea into a structured service with routes, prompts, evaluation hooks, and deployment-ready conventions.

Discuss this product View the stack
Server scaffoldPrompt workflow conventionsDeployment-ready project shape

Status

Open-source AI server scaffold

Domain

AI server setup, process integration, and delivery acceleration

Primary outcome

A usable AI service foundation in hours instead of a bespoke project setup

Best paired with

Rapid Build or embedded AI delivery

Overview Artifacts Workflow Product intake

A faster starting line for AI services

Hansom exists for the early build moment when teams need a real AI server shape before the workflow hardens. It gives Baker Street and client teams a repeatable foundation for routes, prompts, environment setup, and process handoff.

Who this product is built for

The outputs teams actually use

These are the delivery artifacts the repo is designed to produce, not just the internal implementation detail.

Artifact

Server scaffold

A structured service foundation ready for workflow-specific routes and prompts.

Artifact

Process handoff

Conventions that explain how the server fits into delivery, evaluation, and deployment.

Artifact

Launch checklist

Setup and operating notes for turning the scaffold into a live workflow service.

How it gets used in real delivery

Each product is designed to slot into a fixed-scope Baker Street engagement rather than sit as a disconnected side project.

Step 1

Create the AI server foundation and wire the core environment conventions.

Step 2

Add the workflow routes, prompts, and process-specific integration points.

Step 3

Attach eval, logging, deployment, and handoff checks before expansion.

Use it alongside the rest of the Baker Street system

Need an AI server scaffolded into a live process?

Hansom fits when the team knows the workflow direction and needs a clean AI server foundation before bespoke build decisions slow everything down.