How I Built Four Money-Making AI Workflows

Using the top free AI Agents tools and Platforms for clients

Author

Promise Divon
June 29, 2025

Weekly roundup

Executive Overview

Over one long weekend I turned loose ideas into four production-ready AI workflows that:

  • Cut 20+ hours/week of research, inbox triage, and data collection.

  • Spawned two paid micro-products (credit-research reports & Whop data packs).

  • Serve as flagship demos that attract consulting clients and affiliate revenue.

Below is a professional, soup-to-nuts breakdown—architecture, security, deployment, AND an internet-first go-to-market plan to ensure these automations don’t just run… they sell.

AI Tools

Technical Architecture at a Glance

Layer

Service

Purpose

Agent Builder

Langflow (self-host)

Drag-and-drop LLM pipelines.

Orchestration / Triggers

n8n (Docker, ARM64)

Cron, webhooks, error handling.

Vector Store

ConsumerAI (http://consumerai.info)

Hosted Astra-powered embeddings.

External APIs

OpenAI, Tavily, Gmail, Whop, YFinance

Domain-specific data.

Infrastructure

1 × $6 / mo Hetzner VPS + Cloudflare tunnel

HTTPS & basic auth gate.

Key Principle: Stateless Langflow containers + stateful vector DB = horizontal scaling in <5 min (just spin more Langflow pods behind Traefik).

Deep-Dive: Each Workflow

Credit Research Agent

Problem: Clients pay $49/report for credit-market snapshots but research is manual.

Flow:

  1. Prompt Decomposer – LLM creates sub-topics from the query.

  2. Tavily Search Node – 3 concurrent searches → cleaned JSON.

  3. YFinance Node – Pulls FICO & bond-rate data.

  4. Math / Calc Node – APR deltas & risk ratios.

  5. Analyst LLM – Generates 500-word synthesis w/ citations.

  6. n8n converts Markdown → PDF and emails it to user.

Avg runtime: 42 s | Cost: ≈ $0.002/headline

Need your own AI Automation?
More AI Integration

Gmail Assistant Agent

Problem: 150+ daily emails; SLA <24 h.
Flow: Gmail Loader → LLM classify + summarize → Priority queue → Draft replies via Gmail Draft API.
Add-on: n8n cron job at 06:00 ET pushes the top 5 items to Slack.

Do you need AI Automation for Email automation

Whop Scraper & Data Product

Step

Node

Function

1

HTTP Loader

GET vendor leaderboard HTML

2

BeautifulSoup Custom

Parse seller names, sales, GMV

3

LLM “Trends Analyst”

Enrich: growth %, niche tags

4

n8n Sheets

Append to Google Sheet (public API)

5

Stripe Checkout Link

$29/mo API access for creators

Full Funnel: Getting Users & Clients Online

Top-of-Funnel Visibility

Channel

Weekly Cadence

Content

YouTube Shorts

3×

30-sec loom showing Langflow canvas → CTA “link below”

LinkedIn

2×

Case-study carousels w/ KPI screenshots

Reddit (r/NoCode, r/LowCode)

3 comments/day

Non-spammy teardown of someone’s automation problem, link to demo

Indie Hackers & Hacker News “Show HN”

1 post/2 weeks

Publish open-source Langflow template (.json) + README

Retrieval-Augmented Q&A

Docs → ConsumerAI vector DB → Retriever → Answer LLM.
Latency: 1.2 s for <10K docs; scales linearly.
Security: Embeddings strip PII; raw docs stored S3 private bucket.

Deployment, Security & Compliance

  1. Docker-Compose for Langflow + n8n + Traefik.

  2. Cloudflare Auth (TOTP) on /langflow and /n8n.

  3. Environment vault (Doppler) injects all API keys at runtime.

  4. GDPR: Data-subject deletes propagate to ConsumerAI via webhook.

  5. Logging & APM: Loki + Grafana; 7-day retention, no PII.

Monetization Stack

Revenue Stream

CAC

Pricing

Stack

Credit Reports (PDF)

$11 (Reddit Ads)

$49 one-off

Gumroad + n8n webhook

Whop Data API

Organic

(Whop directory)

$29/mo

Stripe billing portal

Affiliate Toolkit

$0 (content)

10-40 %

Links below

Connect & Level Up

Ready to implement? DM me “AUTOMATE” on LinkedIn or hit reply, and I’ll send over a private Loom showing exactly how to spin up your first flow.

Let’s build, automate, and—most importantly—ship revenue-ready AI tools.

— Daniel Wray 🧠🚀