feat: Tier B operator scaffolding — bundle, copy SoT, posts, emails

Pick up and finish yesterday's cut-off Tier B pass.

- build/: PyInstaller scaffold (datatools.spec + launcher.py +
  hook-streamlit.py + README) — folder-mode bundle, locked
  127.0.0.1, per-OS recipe
- marketing/COPY.md: single source of truth for every customer-facing
  string — landing H1/sub/CTAs, demo CTAs, email subjects, Gumroad
  listing, banned phrases
- marketing/community-posts/: 9 drafts (3 posts × 3 niches:
  bookkeeper, revops, shopify-pet) — story / tip / soft-offer
- marketing/emails/: 18 drafts (Gumroad delivery + 5-touch
  onboarding × 3 niches), per-niche segmentation guidance
- docs/NEXT-STEPS.md: flip 2.2 / 2.4 / 3.1 / 3.4 to done with
  pointers to the new assets; add Phase 0 inventory rows
- .gitignore: narrow `build/` ignore so PyInstaller spec + launcher
  + hooks get tracked, only generated artifacts (build/build/,
  build/__pycache__/, build/dist/) stay ignored

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

marketing/community-posts/bookkeeper/02-tip.md

@@ -0,0 +1,27 @@
+# Bookkeeper · Post 2 — Tip
+
+**Where to post:** LinkedIn (your own feed), AAT/ICB Facebook
+groups, accountancy newsletters' "tip submission" inboxes.
+
+**Format:** short, ~150 words. Practical. Reads as "thing I learned"
+not "thing I'm selling".
+
+---
+
+## Title
+
+The 30-second check that catches 90% of bank-export errors before they hit QuickBooks
+
+## Body
+
+If you do client bank reconciliations, do this once before every import:
+
+Open the export. Sort by amount. Scroll to the bottom. Look at the totals row.
+
+Most banks add a totals row at the bottom of the CSV that *isn't* a transaction. If you import it, QuickBooks treats it as a real entry and your books are off by exactly the value of the totals row — usually a five-figure number that takes you 40 minutes to track down.
+
+Same trick catches blank rows the bank inserts as section breaks (especially Wells Fargo, Chase, and most UK challenger banks). One sort, one scroll, two seconds of looking — saves the rest of your evening.
+
+If you're doing this for 20+ clients a month and want to automate the whole pre-import scrub (this trick + ~10 others), I built a $49 desktop tool called DataTools that does it: datatools.gumroad.com. No subscription, runs locally so client data stays on your machine.
+
+— {{your-name}}