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/emails/bookkeeper/03-day7.md

@@ -0,0 +1,32 @@
+# Bookkeeper · Day 7 — One pipeline, every client, every month
+
+**Subject:** One pipeline, every client, every month
+**Send:** Day 7
+**Goal:** reframe from one-off tool to monthly workflow
+
+---
+
+Hi {{first_name}},
+
+A week in. By now you've probably run DataTools on 1-2 client exports and confirmed it does what the landing page promised.
+
+The thing buyers tell me they wish they'd done from day one: **set it up as a workflow, not a one-off.**
+
+The pattern that works:
+
+**1. Make a folder per client.** Inside each client folder, a subfolder per month: `Acme Co/2026-05/`. Drop the raw export here.
+
+**2. Save your DataTools settings as a per-client preset.** The "Save settings" button in the analyzer drops a `.datatools-preset.json` file. Stash that in the client folder. Next month, load the preset and the analyzer pre-configures with the rules you tuned for that client (e.g., your "Amazon Marketplace" canonical name, your client's specific merchant aliases).
+
+**3. Run the pipeline. Get three files back:** the cleaned CSV, the audit CSV, the gate report. Move them into `Acme Co/2026-05/cleaned/`.
+
+**4. Import the cleaned CSV to QuickBooks. Email the audit CSV to the client.**
+
+Total elapsed time per client per month, after the first: 3-5 minutes. The first month per client is longer (~15 min) because you're tuning the preset.
+
+The buyers who do this are the ones still emailing me 3 months later — usually with feature requests for the next client they want to onboard. The buyers who only ever run it ad-hoc tend to drift back to spreadsheets within 2 months.
+
+If you want, reply with a sanitized export and I'll show you what your starting preset should look like — happy to do this for the first 50 buyers.
+
+— Michael
+{{support_email}}