In plain terms: Here is the whole life of one decision, start to finish.
Suppose a yard is reviewing a fuel system layout for a new build, and wants to
know whether it meets the current Coast Guard fuel-line clearance requirements.
The walkthrough
1
Trigger
The reviewing engineer opens the fuel system design and asks Forge for a
“rule applicability assessment.”
2
The system gathers what it needs
Forge pulls the relevant USCG sections, the current fuel-line geometry (as
actual measurements, not guesses), the prior similar systems on this vessel
class, and the yard’s own internal standards.
3
It drafts a proposal
The AI drafts an assessment: which USCG sections apply, which measurements
support the clearance claim, and which prior decisions on similar systems it
is relying on as precedent.
4
Confidence check
If the AI is not confident enough (for example, it cannot find a measurement
for a critical clearance), it stops and asks the engineer to supply the
missing data. It does not guess. This is working as intended.
5
The verification ladder runs, automatic checks first
The proposal then passes through an ordered set of checks. Fast, automatic checks
establish the evidence first; human and external review enter where required.
in action:
6
Decision signed
Once the responsible engineer approves, with class or USCG review included where
required, T7 records the decision with an , preserving the full
reasoning and evidence behind it.
7
Outcome observed
Months later, when the vessel is in production, the real outcome is captured.
Did the assessment hold up during the USCG inspection? Did the clearance match
the as-built measurement? That outcome becomes a learning signal for the next
time.