Solution blueprints
The systems we build, drawn before they are sold.
Four reference architectures for the work we are asked for most. Each one names its layers, the decisions inside it and what those decisions cost — so a conversation can start at the tradeoffs instead of the pitch.
Read this first
Reference architectures, not case studies.
Every blueprint here describes a system Digiaeon designs and builds: the layers, the decisions inside them, and the price each decision carries. None of them is a client story. We do not publish work we have not done, and we do not borrow somebody else’s numbers to stand in for ours.
The figures are design targets — the operating point we build toward and measure against, with its basis written next to it. Run one of these on your data and the targets become your numbers, or we tell you precisely why they moved. That is a sharper claim than a testimonial, and it survives a technical review.
- Architecture
- What we would build, in enough detail that a staff engineer can argue with it.
- Tradeoffs
- Every decision states what it costs, not only what it buys.
- Numbers
- Design targets carrying their basis. Never a delivered result, never a borrowed one.
The set
Four systems, drawn to the layer.
Each blueprint is a complete argument: the failure mode it answers, the architecture, the decisions and their costs, the targets, and how long a first production cut takes.
Common spine
What every blueprint carries.
They differ in domain and in almost every component. These are the parts that do not change, because they are what separates a system from a demonstration.
- 01
An evaluation set before a model
Nothing ships against a vibe. Each blueprint starts with a labelled set the system is scored on, and a release gate that blocks a regression. If a change cannot be measured, it does not go out — which means the first week of work is usually data, not inference.
- 02
A budget on every hot path
Latency, cost and token spend are budgets, not observations. Every path that a user waits on has a number it must answer inside, and a defined behaviour for the moment it cannot: a fallback, a queue, an honest refusal. Systems without a budget degrade quietly and nobody notices until a customer does.
- 03
A rollback someone has rehearsed
Each blueprint separates the artefact from the deployment — a model alias, a prompt version, a policy record — so reverting is a flip rather than a release. We time that flip during a game day. An untested rollback is not a control, it is a hope.
- 04
Observability aimed at the real failure mode
Generic dashboards catch generic problems. Each blueprint names what fails silently in that class of system — a stalled watermark, an abstention rate drifting up, an approval queue draining faster than a human could read it — and instruments those signals first.
Next step
Bring the one that looks like your problem.
Pick the blueprint closest to what you are trying to build. In a 45-minute session we will tell you which layers you already have, which ones you do not, and where the plan would break.