GrowthOps AI

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  Case Manager

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  Approval area

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  Orchestration view

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  Event Scout

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  Dashboard

Inspiration

I’m a developer. I love building products, systems, and infrastructure—but I’m bad at marketing. I don’t enjoy it, I’m not good at it, and it constantly pulls time away from what I actually want to be doing: coding. GrowthOpsAI came from a simple question: what if AI could handle marketing the same way I handle infrastructure—automatically, continuously, and without hand-holding?

Instead of learning marketing frameworks, writing copy, scouting events, and managing approvals, I wanted to build a system that could do those things on its own. GrowthOpsAI is the result of trying to replace marketing busywork with software.

What it does

GrowthOpsAI is an autonomous marketing operations platform. It scouts opportunities (such as relevant events), plans campaign actions, generates content, routes work through approval loops, and adapts decisions based on feedback—all with minimal human intervention. Rather than a chatbot, it behaves like an always-on marketing team.

How we built it

GrowthOpsAI is built as an automation-first system using Gemini 3 Flash and Cloudflare’s platform, with Cloudflare Workflows coordinating long-running, multi-step processes. Gemini 3 Flash handles reasoning, orchestration, and content generation, while Workflows provide durable execution for tasks like event scouting, approval loops, retries, and conditional branching. This allows AI-driven workflows to pause, resume, and recover safely without manual intervention. The system is structured around discrete, repeatable workflows that produce structured outputs, enabling downstream automation and continuous operation. By combining fast AI orchestration with reliable workflow execution, GrowthOpsAI treats marketing as a system that runs continuously rather than a set of one-off prompts.

Challenges we ran into

The biggest challenge was designing AI workflows that are deterministic enough to automate, while still flexible enough to reason creatively. Balancing structure, context retention, and speed without relying on heavyweight models required careful prompt and workflow design.

Accomplishments that we're proud of

• A fully orchestrated, AI-driven workflow using a single fast model
• Autonomous event scouting with structured outputs
• An architecture that treats AI as an operator, not a chatbot

What we learned

Fast, lightweight models can power complex systems when paired with strong workflow design. Orchestration matters more than raw model size.

What's next for GrowthOps AI

Next steps include deeper performance feedback loops, expanded agent roles, persistent memory via vectorized knowledge, and fully automated campaign execution from discovery to reporting.

Built With

• cloudflare
• d1
• durable
• gemini
• kv
• vue
• workflows