Michael
e1f364f010
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>
36 lines
1.8 KiB
Markdown
36 lines
1.8 KiB
Markdown
# Bookkeeper · Day 14 — Two-minute trick: the gate report
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**Subject:** Two-minute trick: the gate report
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**Send:** Day 14
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**Goal:** surface the gate tool — non-obvious, high-value once seen
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---
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Hi {{first_name}},
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The tool inside DataTools that buyers find last is the **gate** — and it's the one that quietly does the most for you.
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What it does: before any row gets written to the cleaned CSV, the gate runs a per-row pass-through check. Rows that fail get *quarantined* into a separate file (`<filename>.quarantine.csv`) instead of silently dropped or silently passed.
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Default rules (you can add your own):
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- Missing required fields (date, amount)
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- Amount in unexpected currency without a flag
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- Date outside the export's stated range (catches the "totals row" issue from Day 1)
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- Duplicate of another row already in the file (per the dedupe pass)
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- Confidence below your threshold on a field that got auto-corrected
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The 2-minute workflow:
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1. Run the pipeline as usual.
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2. Open `<filename>.quarantine.csv`. (It'll be tiny — typically 0-5% of rows.)
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3. Eyeball it. Anything that's a real transaction, fix-and-re-include manually. Anything that's a totals row / blank row / corrupt row — confirm it's correctly quarantined and delete it.
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4. Re-run the pipeline on the fixed-up version (or just append the manually-fixed rows to the cleaned CSV).
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The reason this matters: silent drops are the worst possible failure mode for a bookkeeper. You'd rather a row come out wrong (you'll catch it on review) than disappear (you won't catch it for months). The gate makes the silent-drop case impossible.
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Set the gate's confidence threshold to `0.85` for client work. Lower (0.75) for personal / exploratory; higher (0.92+) only if you've spent time tuning your client's preset.
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— Michael
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{{support_email}}
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