A production line is not a metaphor here.
Manufacturing engineering breaks work into stations. Each has a defined input, a bounded operation, a stated tolerance, and an inspection gate before the part advances. Software is rarely built this way. We build it this way.
Decompose the work
Before anything is written, the existing process is decomposed to its real stations — including the ones nobody documented. Most automation failures are process failures faithfully reproduced in code.
Specify the tolerances
Each station gets a stated acceptable range — what counts as correct, what counts as marginal, what stops the line. Without it, an automated decision has no definition of wrong.
Place the gates
Inspection goes where a defect is expensive to pass downstream — not at every step, which stalls the line, and not only at the end, which is far too late.
Scope the context
Each agent gets the knowledge its station requires and nothing beyond it. Scope discipline is what makes behaviour predictable enough to certify.
Instrument and verify
The line reports its own throughput, yield, and rework. A system that can't tell you how it's performing isn't finished — it's merely working.
The line was built station by station.
Capability was commissioned in sequence, each stage load-bearing for the next. That's how a production line is brought up, and it's how the platform was.
Fundamentals
Language, data structures, and the shape of a correct program.
Interfaces
First services. Contracts between systems that know nothing about each other.
Orchestration
Work sequenced across stations, with failure handled rather than hoped away.
Managed state
Durable persistence, and an interface an operator can actually work in.
Integrated platform
A bespoke system running a business end to end, in production, under load.