\begin{figure}[ht]
\centering
\fbox{\parbox{0.9\linewidth}{
\centering
\textbf{Conceptual Agentic Workflow with OPT Integration}\\[6pt]

Goal Intake $\rightarrow$ Planning $\rightarrow$ Tool Invocation $\rightarrow$
Execution $\rightarrow$ Evaluation $\rightarrow$ Repair $\rightarrow$ Memory\\[6pt]

\emph{OPT Checkpoints:}
\begin{itemize}
  \item OPT--Intent declaration during Planning
  \item OPT--Code observation during Execution
  \item Intent--Code alignment during Evaluation
  \item Mechanism-constrained repair during Repair
  \item OPT-aware trace stored in Memory
\end{itemize}
}}
\caption{Agentic AI workflow annotated with OPT checkpoints. OPT operates as a
mechanism-aware abstraction layer that augments planning, diagnosis, repair,
and governance without prescribing a specific agent architecture.}
\label{fig:opt-agent-loop}
\end{figure}

