
Gumly is an AI-driven marketing system that handles content generation, campaign logic, and performance feedback — replacing multi-person workflows with a single intelligent engine.
The Problem
Most businesses can't afford a full marketing team, but consistent, high-quality output is non-negotiable for growth. The gap between 'no marketing' and 'proper marketing' is enormous — and expensive to close with people.
AI tools exist, but they're fragmented. Writing in one tool, scheduling in another, analytics somewhere else, with a human connecting all the dots. The promise of AI marketing hadn't translated into a coherent system.
Output quality degrades without feedback loops. Most businesses publish content and never learn what's working, repeating the same mistakes at scale.
What I Did
Designed the product architecture for Gumly's core system — how inputs (brand, goals, audience) transform into outputs (content, campaigns, reports).
Built the prompt engineering infrastructure: a layered system of instructions that produce consistent, brand-aligned content across formats and channels.
Designed the feedback loop logic — how the system learns from performance data and adjusts future outputs without manual intervention.
Architected the automation layer that ties content generation, scheduling, and reporting into a single managed flow.
Value Added
Key Lessons
“AI in marketing isn't about creativity — it's about consistency and feedback loops. The value is in the system, not the individual output.”
“Most AI marketing fails because there's no architecture behind it. Prompting a model isn't a strategy.”
“The best AI systems make humans faster, not redundant. Gumly was designed to augment a lean team, not replace all judgment.”