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Case Study: The Autonomous B2B Lead Generation Engine
Role: AI Systems Architect & Developer
Tools Used: n8n, SerpAPI, Google Sheets API, Gmail API
Deliverable: Fully automated lead scraping and cold outreach pipeline.
š The Problem: The "Dead List" Dilemma
For B2B companies, manual lead research is the biggest bottleneck to scaling revenue. Most businesses waste 15+ hours a week manually scraping Google Maps for local prospects, or worse, they buy outdated lead lists filled with dead websites and disconnected phone numbers.
The goal of this project was to build a system that completely eliminated manual prospecting. The system needed to autonomously locate high-intent local businesses, extract their contact data, format it perfectly into a CRM, and initiate personalized outreachāall without a single human click.
šļø The Solution & Architecture
I engineered the Growth & Outreach Engine using n8n to connect live search data directly to an automated email pipeline.
The Workflow Pipeline:
Live Data Extraction: Utilizing SerpAPI, the agent runs localized, niche-specific queries (e.g., "coaching institutes in Texas") to pull real-time, verified business data.
Data Filtration & Formatting: The system filters out incomplete profiles and strictly isolates high-value contact points (verified phone numbers and emails).
CRM Injection: Extracted data is autonomously injected into a centralized Google Sheet, acting as a live database.
Outreach Deployment: The pipeline triggers an Automatic Email Sender via Gmail to draft and send highly targeted introductory emails to the newly acquired prospects.
š§ Overcoming Technical Roadblocks
Building a prototype is easy; building a resilient system requires overcoming the chaos of real-world internet data. During development, two major roadblocks threatened the pipeline:
The "Dead Link" Trap: Initially, the scraper targeted business websites to extract data. However, local markets are plagued by 404 errors, aggressive Cloudflare anti-bot walls, and missing domains, which stalled the automation.
The Fix: I re-engineered the logic to bypass fragile website scraping entirely, pivoting the extraction focus to verified Google Business phone numbers and directory emails, ensuring a 99% data success rate.
The Spreadsheet Crash: Google Sheets natively misinterprets international phone numbers (like +1 or +91) as mathematical formulas, throwing massive #PARSE! errors that corrupt the database.
The Fix: I injected a custom string conversion nodeāadding a hidden single quote (') via an n8n expression (='{{ $json.phone }})āforcing the CRM to accept the raw text flawlessly.
š The Results & Impact
What started as a complex engineering challenge is now a high-speed, invisible growth engine.
Hours Saved: Eliminated 15+ hours per week of manual data entry and prospecting.
Data Accuracy: Achieved a near 100% success rate in pulling active, verified contact information rather than outdated lists.
Speed to Market: The system can scrape, format, and initiate outreach to 50+ localized leads in under 2 minutes of execution time.
š¤ Why This Matters For Your Business
True automation is not about how many AI models you can chain together; it is about building resilient systems that survive real-world data and actually scale your revenue.
If your team is still manually hunting for leads or drowning in data entry, letās build a custom Growth Engine for your business.
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Only 6% have fully implemented it (Supermetrics 2026).
The gap between those numbers is basically the entire job description for what I do.
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ā¢ May 13
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ā¢ May 12
wait i ididn't even know i could do this lol
Atelier 360 ā A Reusable Fashion Launch System
Full Project Description
Atelier 360 is a reusable creative workflow built in Melius that turns a single fashion product brief into a complete omnichannel launch campaign.
For this challenge, I used a premium black oversized hoodie as the starting product. From that one brief, the workflow generates brand direction, product-only e-commerce assets, 360-degree product views, on-model editorial visuals, social creatives, paid ads, out-of-home campaign concepts, website and email banners, and cinematic video direction.
The main idea behind Atelier 360 is product consistency. Generative fashion workflows often create beautiful isolated images, but the product can easily drift between outputs. To solve this, I built the workflow around a Canonical Product Identity and Global Quality Standards. These act as a source of truth for the garmentās silhouette, material, proportions, construction, and visual style.
The system is designed to reduce common AI issues such as inconsistent product details, exaggerated garment proportions, duplicate hoods, faceless models, ghost-mannequin artifacts, unreadable text, and off-brand visual drift. Instead of treating each image as a separate generation, Atelier 360 works like a connected production pipeline.
Key Functions & Capabilities
Strategic Brand Foundation
The workflow starts by generating a clear brand strategy, audience direction, visual tone, and campaign positioning based on the initial product brief.
Canonical Product Anchor
A central product identity node defines the source of truth for the garment, including silhouette, material, hood structure, pocket placement, cuffs, hem, and overall construction.
Product-Only E-Commerce Assets
The system creates clean product visuals for online stores, including hero product shots, 360-degree front/side/back views, material close-ups, and PDP-ready assets.
On-Model & Editorial Assets
The workflow separates model-based visuals from product-only assets to create editorial campaign images with visible faces, realistic anatomy, and premium fashion styling.
Omnichannel Marketing Assets
Atelier 360 generates campaign concepts for social media, paid ads, website banners, email banners, billboards, and street posters.
Video & Motion Direction
The system includes a video pipeline covering script, storyboard, keyframes, 360-degree product turntable concepts, and short-form fashion promo video direction.
Process Steps & Execution Strategy
I started by building the strategy layer and defining the visual direction for a premium minimalist streetwear brand. Then I created a Canonical Product Identity to keep the hoodie consistent across all future outputs.
From there, I organized the canvas into five functional zones:
Strategy & System Rules
Product-Only Assets
On-Model & Editorial Assets
Campaign & Marketing Assets
Video & Motion Direction
During the process, I learned that a large nested workflow is easier to control when it is executed group by group rather than all at once. This allowed me to review each stage, refine weak outputs, and keep the final campaign board cleaner and more consistent.
Feedback on Melius
Melius helped turn the creative process from isolated prompting into a visual production system. I liked being able to structure the workflow spatially, connect strategy to visual outputs, and use the agent to expand one product idea into many connected campaign assets.
The canvas format made it easier to think like a creative director: define the product, build the visual world, generate assets, review quality, and curate the strongest outputs. For me, the biggest value was not just generating visuals, but building a reusable workflow that can be adapted for future fashion launches.
this is so cool!
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