The Agentic Workspace.
Where marketing strategy meets AI engineering. I don't just use AI tools — I architect autonomous systems that execute entire workflows while you sleep.
[OK] Subagents loaded: Codebase Researcher, Bug Fixer, Architect
[OK] Connected to GitHub context
➜ Researching codebase dependencies...
➜ Generating layout structure in src/app/expertise/page.tsx
➜ Running UI validation checks...
✓ Task completed in 14.2s. Output pushed to local branch.
How I leverage Agents
Automated Code Gen
Using autonomous subagents to write, refactor, and review massive codebases instantly. It turns weeks of frontend development into a few hours of architectural review.
Complex Architecture
Delegating system design, database schema creation, and API route structure to specialized AI models, ensuring scalable foundations before writing a single line of code.
Self-Healing Systems
Deploying agents that can detect build errors, fix syntax issues automatically, and re-deploy without human intervention. Zero downtime, maximum efficiency.
Fully Autonomous Content Engine — Zero Human Touch
I designed and deployed a fully automated content creation pipeline using n8n as the orchestration layer. The system generates, illustrates, SEO-optimises, and publishes every blog post, image, and social snippet — completely hands-free. This very website is a live demonstration.
Scheduled Trigger
A cron node fires every morning at 6 AM. It pulls trending topics from Google Trends & Reddit APIs, cross-referencing them against my existing content library to eliminate duplicates.
AI Content Generator (GPT-4)
A GPT-4 node receives the topic + my brand voice system prompt and writes a fully structured 1,200-word article with H1/H2 hierarchy, LSI keywords, and internal link placeholders pre-filled.
Image Generator (DALL-E / Midjourney)
Simultaneously, a parallel branch sends the article summary to DALL-E to generate a photorealistic hero image. No stock photos, no designer required.
SEO Optimiser
The draft passes through a dedicated SEO node that scores readability (Flesch-Kincaid), validates keyword density, checks meta description length, and rewrites until all scores are green.
CMS Publisher (Next.js API)
A Webhook node POSTs the finalised JSON payload to this website's Admin API, which saves it to the database and immediately makes it live on /blog.
Social Media Distributor
Finally, repurposed snippets — a LinkedIn carousel, an X thread, and an Instagram caption — are auto-posted via their respective APIs. The system tags times for peak engagement using historical performance data.
6 hrs
Saved Daily
100%
Publish Rate
0
Manual Edits
Live n8n workflow powering this website's content pipeline
AI Orchestrator dispatching 5 parallel department automation pipelines
One AI Brain, Five Departments Automated
Scaling a company shouldn't mean scaling headcount linearly. I architected a centralised AI Orchestrator on n8n that dispatches intelligent, context-aware automations across every department — simultaneously. Here's how each vertical was transformed:
Customer Service
Ticket Intake → AI Response → CRM Update → Auto-Reply
Support tickets are captured from email, WhatsApp, and chat. GPT-4 drafts contextually accurate responses based on the knowledge base, resolves >60% of tickets autonomously, and escalates edge cases to a human agent with a full summary pre-written.
Operations
Process Monitor → Anomaly Detector → Alert → Auto-Fix
Real-time KPI dashboards are watched by an anomaly-detection node. If fulfilment SLA drops or inventory thresholds are breached, the system auto-generates Slack alerts, triggers reorder workflows, and logs incidents with root-cause annotations.
KAMs / Key Account Managers
Account Signal → AI Brief → CRM Log → Slack Notify
Account health signals (usage drops, NPS dips, renewal dates) are monitored continuously. When a risk signal fires, the AI generates a personalised relationship brief — recent wins, open issues, upsell opportunities — and pushes it directly to the KAM via Slack before their next call.
Sales
Lead Capture → AI Scoring → Personalised Outreach → Pipeline Update
Inbound leads from LinkedIn, website forms, and ad campaigns are scored using a custom AI model trained on historical conversion data. High-intent leads receive hyper-personalised outreach sequences within 4 minutes of entering the funnel. Pipeline stages update in HubSpot automatically.
Marketing
Trend Analyzer → Content Scheduler → Social Publisher → Performance Report
Weekly trend data from SEMrush, Google Trends, and competitor RSS feeds is synthesised into a content calendar. Campaigns are auto-scheduled across channels at optimal times. Every Monday, a performance report is generated and delivered to the CMO with zero manual effort.
5 depts
Fully Automated
~40 hrs/wk
Saved Per Team
4 min
Avg Lead Response
60%+
Tickets Auto-Resolved