style(no-slop): remove every em-dash + banned words across all modules + capstone

Apply the no-ai-slop standard (now binding in AGENTS.md): the em-dash character is
banned outright (restructured, not blind-replaced), plus the banned word/phrase
list (delve, leverage, robust, seamless, truly, unlock, etc.). 0 em-dashes remain
in modules + capstone; the only "robust" left is the planted M10 ai-change.patch
trap. Module H1 titles use a colon separator.

All deliberate teaching devices preserved; labs compile/parse (py/sh/yaml/json);
no junk. AGENTS.md updated with the hard no-slop rules.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT

modules/27-evals/lab/eval_set.py

@@ -7,7 +7,7 @@ An *eval set* is a list of CASES. Each case is three things:
   - the expected result (here: how many tasks should count as pending).
 
 The grading lives in run_eval.py; this file is just data. Keeping the cases
-separate from any model, prompt, or runner is the whole point — the same eval
+separate from any model, prompt, or runner is the whole point; the same eval
 set judges *any* candidate you point it at, which is what makes it useful when
 you swap the model out from under it.