scripts/: separate production from experimental and deprecated

Moves 28 experiment scripts to scripts/experiments/ (E1, E1.4, E1.6, E2,
base_class, cascade, cost_test, briefing, consistency, token series).
Moves 2 dissolved-layer scripts to scripts/deprecated/ (consolidator_v0_1.py,
tier1_migration.py — under the bespoke decision both target retired
substrate work).
Removes 19 .bak* files from disk (gitignored, never tracked; git history
is the durable record of every prior version).

The 11 production scripts remain in scripts/. All systemd ExecStart paths,
api.py subprocess calls, and cron jobs continue to resolve correctly —
verified by grep against /etc/systemd/system/aaronai-*.service, scripts/
references in api.py, and the user crontab.

Track 1 inventory cross-cutting finding: scripts/ mixed 11 production
files with 32 experimental scripts and ~20 .bak files. After this commit
a clean-room reader can identify the live workers from a directory listing
alone.

Found by Track 1 inventory 2026-05-02. See
~/aaronai/docs/scripts-reorg-plan-2026-05-02.md for full reasoning.

After commit, run:
1. git log --oneline -3 — show the new commit on top
2. git status — confirm clean working tree (modulo the docs/ untracked files which are intentional)

scripts/experiments/e2_alias_followup.py

@@ -0,0 +1,24 @@
+#!/usr/bin/env python3
+"""E2 follow-up: confirm Aaron AI alias situation, find other potential duplicates."""
+import subprocess
+
+QUERIES = [
+    ("Aaron AI variants",
+     "MATCH (n:Entity) WHERE n.name CONTAINS 'Aaron AI' OR n.name CONTAINS 'ARIN' OR n.name CONTAINS 'RNAI' RETURN n.name, n.summary"),
+    ("All Mossygear-named entities",
+     "MATCH (n:Entity) WHERE n.name CONTAINS 'Mossy' OR n.name CONTAINS 'A+K' OR n.name CONTAINS 'AK Design' RETURN n.name, n.summary"),
+    ("Total entity count check",
+     "MATCH (n:Entity) RETURN count(n) as total"),
+    ("Top 30 entity names by edge count",
+     "MATCH (n:Entity)-[r]-() RETURN n.name, count(r) as edges ORDER BY edges DESC LIMIT 30"),
+]
+
+for label, query in QUERIES:
+    print(f"\n{'=' * 60}")
+    print(f"QUERY: {label}")
+    print('=' * 60)
+    result = subprocess.run(
+        ["docker", "exec", "falkordb", "redis-cli", "GRAPH.QUERY", "aaron", query],
+        capture_output=True, text=True
+    )
+    print(result.stdout)