CONTENT WORKFLOW ENGINEERING

Impossible Content Pipelines, Built End-to-End

Go from keyword to published content—every step in between handled by one pipeline I engineer in n8n and real code.

A 20 minute call. I’ll map what’s broken, what’s automatable, and what isn’t worth touching.
Your Impossible Workflow, Now Possible
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[ AI CONTENT HACKS ]
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Looks easy. Breaks at scale. Wastes time.

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Quality Controls
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Custom Code
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Content Expertise
[ HESHAM.US - CONTENT PIPELINES ]
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Quality Controls

Thresholds

Adjudication

Gating

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Custom Code

APIs

Workers

Scripts

Middleware

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Content Expertise

Content Modeling

Curation

Optimization

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12-month Aftercare

Tech Support

Debugging

Updates

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WHY WORK WITH HESHAM.US

Physician turned content operator,
now engineering workflows.

I diagnose business operations to identify opportunities for streamline content pipelines, which I build using both my content and automation expertise.

Three interlocking gears with circular arrows representing process or automation

Diagnose First

Operations process mapping. I find the break points and opportunities before I build.

Interlocking puzzle pieces connected by circuit-like lines

n8n + Code

n8n for orchestration. Cloudflare Workers, APIs, and custom nodes for everything else.

Judge's gavel resting on a sound block

Content Judgment

I know what quality content is because I used to create it myself. I guarantee no AI slop.

Tilted glue or paint bottle with pink cap dispensing a drop

I Stick Around

12 months break-fix included. Most workflow builders disappear after launch. I don’t.

Systems & Pipelines

I Build the Automation Layer Behind Serious Content Teams

End-to-End Content Pipeline

Calls, PDFs, transcripts, and scattered notes go in. Briefs, drafts, newsletters, and social posts come out—reviewed, formatted, and tracked.

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Inputs mapped
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Audit gates
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Automated publishing paths

Click For Case Study

Fully Automated Video Engine

Trending news discovery. Script draft. Voice-cloned TTS. Kling avatar generation. Creatomate assembly. One finished YouTube video, every day.

Click For Case Study

Blog Publishing Engine

Brief goes in. Ghost-ready article comes out—SEO metadata, tags, excerpts, images, formatting. Posts and newsletters published.

I BUILT CONTENT PIPELINES FOR

Creative Agencies

Startups & Brands

Publishers & Creators

Each pipeline is built from scratch and customized for your need.

From Diagnosis to Deployment

Every production-grade content workflow I build follows four stages: a focused triage call, a paid diagnostic audit, disciplined engineering, and post-launch stewardship.

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Workflow Triage

A focused 20-minute conversation to identify where automation can create real value—and whether a paid diagnostic is the right next step.

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Many automation projects fail because they target the wrong problem. In this call, you describe your current workflow, tools, and bottlenecks. I listen for structural opportunities and blockers. If I see a clear path to value, I recommend a diagnostic audit.
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Diagnostic Audit

A deep workflow mapping and technical architecture review. You receive a clear build plan, risk assessment, and expected outcomes.

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I map your entire content process: inputs, tools, review points, approval chains, publishing destinations, and failure modes. I identify where n8n, custom code, APIs, and human-in-the-loop gates are required. The output is a technical blueprint with implementation priorities, timeline, and fixed-price build quote.
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Outline project scope and success metrics
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Approve the final implementation plan
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System Build

I engineer the pipeline using n8n, custom code, Cloudflare Workers, publishing APIs, and AI tools—built to your exact workflow logic.

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I build the orchestration layer in n8n, write custom code where visual tools reach limits, configure API connections, set up review and approval checkpoints, and integrate with your publishing stack.
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Launch & Stewardship

The system goes live with full documentation, team guidance, and six months of included break-fix support.

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Every pipeline runs through production testing. I deliver technical documentation, usage guidance, and a handover session. After launch, I monitor performance, fix breakages, and refine logic during a 12-month support period. If you need ongoing optimization and reliability coverage, we can transition to a retainer.
•  12 months break-fix included (complimentary).
•  Optional ongoing care (paid).
OUR ENGINE ROOM

Our Impossible Engine

Apps Script
Apps Script
Qdrant
Qdrant
Claude
Claude
Mistral
Mistral
Postal
Postal
n8n
n8n
Python
Python
Ghost
Ghost
Brave API
Brave API
Tailscale
Tailscale
Docker
Docker
Traefik
Traefik
n8n
n8n
GitHub
GitHub
LangChain
LangChain
TensorFlow
TensorFlow
PyTorch
PyTorch
Zapier
Zapier
Make
Make
n8n
n8n
Python
Python
Google Sheets
Google Sheets
Postiz
Postiz
Docker
Docker
PostgreSQL
PostgreSQL
TypeScript
TypeScript
Supabase
Supabase
Python
Python
Google Sheets
Google Sheets
Airtable
Airtable
Notion Database
Notion Database
PostgreSQL
PostgreSQL
Zapier
Zapier
HubSpot
HubSpot
Python
Python
Google Sheets
Google Sheets
Airtable
Airtable
Notion Database
Notion Database
PostgreSQL
PostgreSQL
GitHub
GitHub
HubSpot
HubSpot
Python
Python
Cloudflare
Cloudflare
Redis
Redis
Creatomate
Creatomate
Playwright
Playwright
Mautic
Mautic
React
React
FFmpeg
FFmpeg
Cohere
Cohere
Zitadel
Zitadel
SerpAPI
SerpAPI
Jina AI
Jina AI
PostHog
PostHog
Browserless
Browserless
Kubernetes
Kubernetes
Cloudflare
Cloudflare
Datadog
Datadog
Apify
Apify
Vercel
Vercel
Moodle
Moodle
Gmail
Gmail
Intercom
Intercom
ALL HOSTED ON OUR OWN SERVERS AT SUPERGENIUS.CLOUD
FROM OUR BLOG

Insights on AI and Automation

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Got a workflow no one's been able to build?

A free 20-minute call — bring the messy, ambitious, "is this even possible" version of what you want, and I'll be straight with you on whether it's buildable and roughly how.