📂 All my workflow templates are now in one place These are the exact automations I use to earn ~$20k/month from document processing clients. Finally organized everything into one repo: 👉 https://github.com/khanhduyvt0101/workflows Templates for n8n, Make, and Zapier. All free. No signup. Just grab what you need. Will keep adding more as I build them.

If you want a first-client demo that feels practical in 2026, do not start with a giant autonomous agent. Start with one boring document handoff that already annoys a business. Purchase orders are a good example. A small business might receive POs by email, then someone has to: - open the attachment - pull vendor and order details - check totals and dates - update a tracker - notify the person who needs to review it That is not a sexy AI use case, but it is easy for a prospect to understand. THE DEMO IDEA: Use this purchase order workflow as the demo asset. The workflow is simple: - Gmail watches for incoming purchase order emails - the message is fetched - PDF Vector extracts structured PO fields from the document - a code step formats the extracted data - Google Sheets becomes the PO tracker - Slack notifies procurement for review The important selling point is not "AI reads documents." The selling point is: "Your team stops copying purchase order details by hand. They get a clean tracker row and a review notification instead." For a first client, I would pitch this to: - small manufacturers - wholesale suppliers - construction vendors - local distributors - operations teams that still manage POs from email Keep the first version small. Do not promise full procurement automation. Do not promise perfect approval logic. Do not connect their ERP on day one unless they ask for it. Sell the first step: "I can turn incoming purchase orders into a clean review tracker, so your team only checks exceptions instead of retyping every field." That is easier to demo, easier to price, and easier to deliver. Use the workflow JSON as a starting point, then browse the full workflow library if you want more document workflow examples. ACTION FOR TODAY: Find 10 businesses where purchase orders are likely handled by email.

If you want a first-client offer that sounds safer than "I build AI agents," use this framing: "I help teams turn compliance evidence into a review tracker before audit prep becomes messy." That is much easier to sell than broad autonomy because the client understands the handoff. THE SIMPLE OFFER: Build a SOX evidence intake workflow for compliance, finance, or operations teams. Version one does not need to make the final compliance decision. It only needs to: - watch a Google Drive folder for new evidence files - extract control details from the document - check whether the evidence looks sufficient, partial, or incomplete - log the review record into Google Sheets - notify the compliance team in Slack when remediation is needed THE DEMO ANGLE: Do not show the prospect a giant agent. Show them one document becoming one clean review row: - control ID - owner - evidence period - test result - missing items - risk level - remediation note For a beginner, this is a strong first-client demo because the workflow has a clear boundary: AI prepares the review surface. A human still approves the final decision. That is exactly why this kind of workflow feels safer to a business owner. I attached the workflow JSON and screenshot as a demo asset. You can inspect the workflow here and browse all templates here. Study the JSON to understand the structure, then adapt the offer to one niche: compliance consultants, accounting teams, internal ops, or finance teams. If you were pitching this as a first-client offer, which niche would you test first?

Sister-in-law, 18 months into her PhD. Literature review consuming her existence. 247 papers to process. Advisor wanted synthesis by month end. Called me crying. "I can't read fast enough." THE ACADEMIC OVERWHELM Each paper: 20-40 pages. Dense methodology sections. Results scattered across tables and figures. Citations leading to more papers. Taking notes by hand. Losing track of what she'd read. Couldn't remember which paper said what. "Did Study A or Study B find the correlation? I know I read it somewhere." Searching through 247 PDFs manually for one finding. Hours lost. THE RESEARCH HELPER I BUILT Papers go into folder organized by topic. Workflow processes each one. Extracts key information. Authors, methodology, sample size, main findings, limitations, how it connects to her research question. Searchable database. "Which studies found correlation between X and Y?" Instant answer with citations. Cross-references findings. "Studies A, C, and F found positive correlation. Study B found none. Study D found negative." Generates properly formatted citations automatically. THE ADVISOR'S REACTION Submitted literature review. Advisor's response: "This is remarkably well-organized. Did you hire help?" She didn't. Just stopped drowning and started swimming. "The synthesis section reads like you actually understood the connections between studies." She did. Because she could finally see them. Defense is next year. Says the research system is the only reason she's still in the program. The extraction struggles with heavily formatted academic papers. Lots of equations and charts sometimes confuse it. But captures methodology and findings reliably. PhD students are drowning. This is a life raft. Wow this is the json i would like to share to all reader. What research are you trying to make sense of?

Property management company. 2,400 units across 12 buildings. Built maintenance request tracking system. Documents every request, response time, resolution. Six months later, tenant files lawsuit claiming negligence on mold remediation. THE DOCUMENTATION: My system had complete paper trail: - Original complaint timestamped - Inspection scheduled within 24 hours - Remediation company contracted within 48 hours - Follow-up inspection completed - Tenant sign-off on completion Lawsuit dismissed. Documents proved proper procedures followed. THE VALUE REALIZATION: Original project: Efficiency improvement Actual value: Legal protection worth 10x the contract THE CLIENT ACQUISITION LESSON: Position document automation as RISK REDUCTION, not just efficiency. "What happens when you cannot prove you followed the right procedures?" THE INDUSTRIES WHERE THIS WORKS: Property management (maintenance, complaints) Healthcare (patient interactions, consent) Construction (safety inspections, change orders) HR (employee documentation, compliance) Legal (case file management, deadlines) THE PITCH: "Most [industry] businesses cannot prove their compliance history. My system documents everything automatically. One client avoided a $340K lawsuit because the records were complete." This angle converts CFOs and legal teams - the budget holders. 📚 All templates in here What lawsuit risk could you help your target client document against?