Coral Shark Lab
Practical answers before you automate the work.
Start with the question you actually have: where AI helps, what to automate first, when to leave work alone, how to judge value and whether the software you already use is enough.
Start here
The First-Workflow Gate: readiness before workload and ROI.
Stop conditionsWhen Not to AutomateSeven reasons to stop, hold or narrow the scope.
ArchitectureAI Automation vs Workflow AutomationDETERMINE / INTERPRET / DECIDE / ACT.
ValueAutomation ROI Without Making Up NumbersCapacity Is Not Cash and the four value buckets.
Implementation choiceBuilt-In vs Integration vs CustomThe Least-New-System Ladder.
Problem pillars
What future evidence should add
Permissioned measured first-party evidence should strengthen these evergreen pages rather than create a new thin post every time. Methods, sample sizes, dates, failures and limitations stay visible.
What will never be enough
A generic model-generated article with no Coral Shark method, no original framework, no worked evidence and no defensible reason to cite it.