service dossier / 02
give the model a job. and a boundary.
Start with the task, the source material, and the decision being made. Then define where a model helps, where deterministic rules belong, and where a person stays in control.
open the inspection ↓break the happy path / select a condition
the question
A fluent answer can still be a failed system.
Conceptual engineering exercise. No live system is being tested or altered.
01 / the working boundary
put AI to work.
A repeated workflow has useful context and a clear way to judge whether the output is good.
Start with one meaningful workflow and its failure cases. Agree the acceptance criteria, access requirements, delivery sequence, and ownership before implementation.
02 / inspectable outputs
- Workflow mapping and automation boundaries
- Model and tool integration with source context
- Evaluation cases and human review points
- Failure handling, usage visibility, and operation notes
Scope these outputs around your critical workflow and the acceptance criteria you agree.
03 / questions a useful system survives
01What does a correct output look like before a model sees it?
02Which actions may run without a person?
03How do we recover when a model or provider is unavailable?
fit before features.
A task with usable source material, an accountable owner, and observable quality is a useful candidate. An undefined goal with no way to judge the answer needs discovery first.
before you commit
Existing tools can be retained when they serve the job. Timing and fees depend on the agreed scope; this site does not generate estimates. Source ownership, hosting access, support, and release responsibility belong in the engagement discussion.
inspect the working method ↗trace a system reference ↗next / bring your version of the problem
make the weak point
a starting point.
Your track travels into a private, reviewable brief. You choose whether to share it.
scope this work ↗questions before starting ↗