[guided]Set
\begin{align*}
c_m:=\mu(C_m)
\end{align*}
for $m\in\mathbb{N}_0$. The identity proved above gives, for every $k\in\mathbb{N}$,
\begin{align*}
\mu(A_k)=c_{k-1}-c_k.
\end{align*}
This is the telescoping mechanism of the proof: return-time mass is expressed as successive losses of first-entry mass.
Because the first-entry layers are disjoint and cover $X$ up to a null set,
\begin{align*}
\sum_{m=0}^{\infty}c_m=\sum_{m=0}^{\infty}\mu(C_m)=\mu(X)=1.
\end{align*}
Also the identity
\begin{align*}
c_{k-1}=c_k+\mu(A_k)
\end{align*}
shows that the sequence $(c_m)$ is nonincreasing.
Now compute the finite partial sums. For $N\in\mathbb{N}$,
\begin{align*}
\sum_{k=1}^{N}k\,\mu(A_k)
&=\sum_{k=1}^{N}k(c_{k-1}-c_k)\\
&=\sum_{k=1}^{N}k c_{k-1}-\sum_{k=1}^{N}k c_k.
\end{align*}
In the first sum, use the index change $m=k-1$; in the second sum, use $m=k$. This gives
\begin{align*}
\sum_{k=1}^{N}k\,\mu(A_k)
&=\sum_{m=0}^{N-1}(m+1)c_m-\sum_{m=1}^{N}m c_m\\
&=\sum_{m=0}^{N-1}c_m-Nc_N.
\end{align*}
The remaining point is to prove that the boundary term $Nc_N$ vanishes. For each $N\geq 2$, define
\begin{align*}
q_N:=\lfloor N/2\rfloor.
\end{align*}
Since $(c_m)$ is nonincreasing, every term $c_m$ with $q_N\leq m\leq N$ is at least $c_N$. Hence
\begin{align*}
(N-q_N+1)c_N\leq \sum_{m=q_N}^{N}c_m\leq \sum_{m=q_N}^{\infty}c_m.
\end{align*}
Because the full series $\sum_{m=0}^{\infty}c_m$ converges to $1$, its tails tend to zero:
\begin{align*}
\sum_{m=q_N}^{\infty}c_m\to 0.
\end{align*}
Moreover,
\begin{align*}
\frac{N}{N-q_N+1}\leq 2.
\end{align*}
Multiplying the preceding estimate by this bounded factor yields
\begin{align*}
0\leq Nc_N\leq 2\sum_{m=q_N}^{\infty}c_m\to 0.
\end{align*}
Taking $N\to\infty$ in the finite telescoping identity gives
\begin{align*}
\sum_{k=1}^{\infty}k\,\mu(A_k)
=\sum_{m=0}^{\infty}c_m
=1.
\end{align*}
From the integral representation already proved,
\begin{align*}
\int_A n_A(x)\,d\mu(x)
=\sum_{k=1}^{\infty}k\,\mu(A_k),
\end{align*}
and therefore
\begin{align*}
\int_A n_A(x)\,d\mu(x)=1.
\end{align*}
Finally, since $\mu_A=\mu/\mu(A)$ on $\mathcal{B}_A$,
\begin{align*}
\mathbb{E}_{\mu_A}[n_A]=\int_A n_A(x)\,d\mu_A(x)=\frac{1}{\mu(A)}\int_A n_A(x)\,d\mu(x)=\frac{1}{\mu(A)}.
\end{align*}[/guided]