Z. Ahmed
I am a growth marketing director in Dallas, ten years in. Over the past year I built an AI marketing team: 14+ agents organized around research, writing, design, review and publishing workflows across three brands. This page shows six documented systems and marks where public proof clips are still being prepared.
Now: Director of Growth Marketing at Veritas Automata. Before: Chartis.io, Bailey Brand Consulting, BeMo.
Structured like a real org: specialists with narrow jobs, adversarial reviewers with veto power, and a human at the top making the calls that matter.
Built to carry repeat work across a growth department.
Each one is designed around a job a growth team needs done.
Researches what the audience is asking, writes the post, puts it through the quality gates, optimizes it so search engines actually rank it, and publishes on schedule, automatically. Vera, the quality inspector, blocks anything that reads fake or generic. Nothing publishes without her pass.
Short videos, daily: founder-filmed and AI-avatar clips scripted, voiced and edited by the pipeline, drawing on a library of 100+ hook patterns. The cost of every reel is tracked, the way a media buyer tracks ad spend.
The detail that mattersA watch-and-learn loop. Feed it any viral reel and it extracts the format, banks the learning, and folds it back into the engine. Each new format learned is banked and reused, so the hook library grows with every pass.
Every Monday, before I wake up, the system has already scanned five industries: what people are searching for, what questions they are asking, what competitors did that week. Three more times a week it finds which content formats are winning attention, and it files everything into one shared record. The strategy agents read the newest findings before any planning session, so research reaches the work with no human courier in the middle.
My AI team members hand work to each other through a shared to-do list. One asks for research, a draft or an analysis; another picks it up in the cloud a few hours later, does it, and files the result back with its status. I have a night shift.
Branded, interactive intake experiences with voice recording, file upload and agent-adaptive questioning, designed so a non-technical client can brain-dump raw and the agents structure it into GTM-ready data. The client talks; the agents write it down.
Living operating manuals for executives, holding pitch, product, proof and library in one navigable place, plus visual working-session pages and system maps documented well enough that a new CTO or CEO can take over a system they didn't build. Those are the playbooks I have been writing since my first marketing job.
The schedule is the product. Research lands on Monday, signals land three times a week, performance lands on Friday, and the agents work off whatever is in the database between those points.
Research feeds strategy. Strategy feeds production. Performance feeds back into strategy. It runs on a schedule, every week, automatically, not on somebody remembering.
Planned short recordings of the systems working. Each slot below shows what will be added after capture and review.
Before the agents, the same job with people: multi-client budgets across Google, Meta, LinkedIn and programmatic, KPI frameworks, CRM architecture, and being the escalation point between clients and leadership. The systems work because that discipline is real.
AI marketing platform (5 verticals) and the Agent OS for agencies. Full stack built with agents as the engineering team. Everything on this page was built here. I built these to prove the systems work under real conditions. I am looking for a team to run them at scale. Also live: Growth Academy OS, a role-based training platform where learning is proven by real work and manager sign-off. Three free YouTube course chapters are built. The public ZAGrowth recuts are still being prepared. The paid Skool course is waitlist-only and has not been built.
I moved from associate-level work into director-level growth work, with a focus on growth strategy, demand generation, CRM architecture, and AI-assisted research and reporting.
Multi-client digital strategy across Google, Meta, LinkedIn and programmatic. Client spend management, KPI frameworks, and the escalation point between clients and leadership.
Brand-side digital: paid budgets and A/B roadmaps across eight platforms for the firm and its clients.
PPC, funnel testing, attribution (Hyros), demand-gen automation, and the first SOPs I ever wrote. I've been turning workflows into systems since my first marketing job. Now the systems run themselves.
Open to Director+ roles leading AI-driven growth, marketing or GTM systems, and to walking your team through a live demo of everything on this page. Ten minutes, real systems, no slides.