CHAPTER 06 / 06 · SHIP

Make the work reviewable.

Production practice Applied AI Engineering

A prototype becomes more useful when someone can run it, understand its failures and see what it costs to operate.

THE QUESTION

Can another team inspect the service and decide what it needs next?

FIG. 06 / THE SERVICE TRACE EXAMPLE SYSTEM
Response / trace complete

A fictional request reaches the service, returns a result and leaves a trace.

06 / THE PROCESS

From idea
to evidence.

Three connected moves explain the subject and the work that makes it reviewable.

A demonstrable service and concise technical handover.

  1. 01 / REQUEST

    Package the interface

    Present a small API or service that demonstrates the working prototype.

    WHAT YOU CAN SHOWA demonstrable service
  2. 02 / SERVICE

    Observe its behaviour

    Describe useful logs, failure signals and monitoring questions for the next team.

    WHAT YOU CAN SHOWTrace and monitoring plan
  3. 03 / MONITOR

    Hand over the limits

    Explain setup, known issues, costs and decisions required before broader use.

    WHAT YOU CAN SHOWConcise technical handover

THE PRACTICE

Make the work
inspectable.

The example is a way to explore the idea. Real project evidence should include what was tried, what was observed and what remains uncertain.

01 / STARTBring together an API, deployment notes, monitoring questions and cost awareness.
02 / DOPresent a working prototype and its limits.
03 / SHOWA demonstrable service and concise technical handover.

KEEP IN VIEW

What the visual
doesn’t prove.

The diagram shows an illustrative service journey, not a live production system.

ROLE CONNECTIONS

These directions use ideas from this subject within the Applied AI Engineering learning path.

ENGINEERML Engineer
LEARNDeep Learning Engineer
GROUNDLLM Application Engineer
ORCHESTRATEAgentic AI Engineer
Explore all role directions