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1823 contributions to AI Automation Society
Receipt Scanner Built My Tax Deduction Database Automatically (7 Nodes) 🔥
Tax season. Accountant asks for deductible receipts. I have a shoebox. She has questions. Built receipt scanner. Every receipt photographed goes into database. Tax deductible items automatically flagged and organized by quarter. THE TAX DOCUMENTATION PROBLEM: Business expense? Personal? Deductible? What category? Which quarter? Receipt fades. Memory fades. Accountant asks for documentation. You have nothing useful. THE DISCOVERY: Document extraction identifies tax deductibility. Boolean field. True or false. Deduction category assigned automatically. Dual sheet architecture. All receipts logged to one sheet. Tax deductible items copied to separate tax deductions sheet. THE WORKFLOW: Google Drive trigger watches receipts folder → Download receipt image → Document extraction pulls store, items, total, tax info, deduction status → Code processes and generates receipt ID → Sheets logs to receipt database → IF checks tax deductible → TRUE: Also logs to Tax Deductions tab. 7 nodes. Automatic tax organization. THE DEDUCTION LOGIC: JSON Schema includes deduction categories: Office Supplies, Business Meals, Travel, Equipment, Software, Professional Services, Marketing, Not Deductible. Code adds: Receipt ID (RCP-timestamp), tax year, quarter (Q1-Q4), items summary. At tax time: Filter by year. Export deductions. Hand to accountant. Done. THE TRANSFORMATION: Before: Shoebox of receipts. Panic in April. Missing documentation. Missed deductions. After: Continuous logging. Quarterly organization. Complete records. Maximum deductions. THE NUMBERS: 247 receipts processed this year $8,400 in documented deductions 4 quarters auto-organized Receipt lookup: 3 seconds vs 30 minutes Template in n8n and All templates in Github How much are you losing in undocumented deductions?
Receipt Scanner Built My Tax Deduction Database Automatically (7 Nodes) 🔥
2 likes • 17h
@Duy Bui
2 likes • 17h
@Duy Bui brilliant work and thanks for sharing 👍🏻
Bank Statement Analyzer Found $1,200 in Forgotten Subscriptions (6 Nodes) 🔥
Downloaded bank statement PDF. 847 transactions. Somewhere in there: subscriptions I forgot about. Built 6-node analyzer. Found $1,200 annually in subscriptions I didn't use. Three services I'd forgotten existed. THE SUBSCRIPTION CREEP: $12/month here. $29/month there. Free trial converts. Card gets charged. You forget. Annual cost adds up. Nobody tracks it. Bank sends PDF statement. 50 pages. Who reads that? THE DISCOVERY: Document extraction pulls every transaction with category. Code analyzes spending patterns. Groups by category. Flags subscriptions. Six nodes. Complete spending analysis from PDF to Slack report. THE WORKFLOW: Gmail trigger catches statement email → Get attachment → Document extraction pulls all transactions with amounts and categories → Code analyzes spending by category → Sheets logs monthly summary → Slack sends analysis report. THE ANALYSIS LOGIC: Code calculates: - Total by category (Income, Subscriptions, Dining, Shopping, etc.) - Savings rate percentage - Large transactions over $500 - Monthly comparison trends Slack report shows spending breakdown. Where money actually goes. Not where you think it goes. THE SUBSCRIPTION DETECTION: Recurring amounts same day each month = subscription. Code flags them. Lists them separately. You decide which ones you actually use. Found three I forgot about: Old project management tool ($29/month), unused design software ($15/month), podcast hosting I discontinued ($19/month). THE TRANSFORMATION: Before: Bank statement arrives. File it. Never look at it. Surprised by balance. After: Automatic analysis. Spending patterns visible. Subscriptions surfaced. Decisions made with data. THE NUMBERS: 847 transactions analyzed 12 categories tracked $1,200 annual subscriptions found 3 forgotten services cancelled Savings rate calculated automatically Template in n8n and All templates workflows in Github
Bank Statement Analyzer Found $1,200 in Forgotten Subscriptions (6 Nodes) 🔥
1 like • 2d
@Duy Bui What spending patterns would surprise you if you actually looked?:- mostly systematic
1 like • 17h
@Duy Bui related to sale's and ROI
Mistake by beginners(automation builder's)
Start with responsibility, not intelligence The right way to build an agent is to define its responsibility before its intelligence. Ask yourself: What is this agent allowed to decide on its own? Most beginners give agents too much power too early. That’s how systems become unpredictable. A good agent has a narrow role: one decision, one outcome, clear boundaries. Intelligence only works when responsibility is constrained. Otherwise, you’re just outsourcing chaos. :-- which point is more good? :--- more suggestions to improve? :----
1 like • 17h
@Lasse P yeah I'm also agree with your all points
1 like • 17h
@Lasse P
NEED vibe coding ASAP human interpretation AKA make $$$
I don’t just need “vibe coding.” I need human‑level interpretation of what I actually want built—ASAP. Translate messy ideas into clear prompts that ship real results and make money, not more noise. If you’re tired of “vibes” and want real outcomes, drop a comment with what you’re trying to build and your niche. I’ll reply with one concrete AI workflow you can use this week to move closer to your next dollar.
0 likes • 17h
@Nick Coppola
0 likes • 17h
@Nick Coppola
What’s your current revenue?💰
Where are you guys at so far?📈📉📊
Poll
19 members have voted
2 likes • 2d
@Fausto Rodriguez it's really low because for trust I'm helping in free
1 like • 17h
@Fausto Rodriguez yeah I'm thinking to do this as well
1-10 of 1,823
Muskan Ahlawat
8
9,728points to level up
@muskan-ahlawat-4812
AI Sales & Marketing Automation || Teaching & building practical AI workflows for business growth No-code • LLMs • Real systems

Active 12h ago
Joined Sep 9, 2025
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