Case Studies
Explore how we help startups and businesses transform ideas into scalable, AI-powered solutions. Each case study showcases our process—from discovery to delivery.
Poker Brain – AI-Powered Poker Training System
How we transformed a poker enthusiast's idea into a build-ready AI training system for competitive players.
An entrepreneur set out to create a smart poker training system powered by AI. The vision was clear, but the technical path was not. They needed a partner to help define the concept, structure the system, and turn it into a concrete, buildable development plan.
We led a structured discovery process to shape the product, define the technical architecture, and plan a phased development roadmap. Through a collaborative workshop, we clarified the vision and user needs. We then designed a modular system architecture tailored to the AI engine, outlined buildable features, and mapped the path to an MVP. A detailed specification document captured system components, workflows, data flow, and user experience flows. We also assessed key risks and proposed mitigation strategies to reduce uncertainty and control future development costs.
Our client received a complete product blueprint: a 10-page technical specification, a scalable architecture, and a 5-phase roadmap with projected costs ranging from $103,000 to $148,500. The outcome provided full development clarity—ready for implementation and confident stakeholder alignment.
Our process bridges the gap between ambitious ideas and technical execution. It brings clarity to the unknown, uncovers risks early, and delivers tangible outputs that engineering teams can act on immediately. The result is a smarter, faster path to product development—designed for long-term success.
Autobot – AI-Powered Development Automation Platform
How we created an intelligent AI assistant that automates software development workflows from Asana to GitHub.
A development team needed to automate their entire software workflow—from task creation in Asana to code implementation in GitHub. Their goal was to build an AI assistant capable of converting project tasks into working code, managing PR feedback, and coordinating complex development operations with minimal manual input. The system needed to be secure, scalable, and reliable enough to support multiple concurrent projects without disruption.
We built a full AI-powered development automation platform integrating Claude AI, Asana, and GitHub. The system featured a central orchestrator that managed workflow logic and multiple specialized services for project management, repository handling, and code generation. Each task ran in isolated AI-managed workspaces to ensure security and stability. Deployed with Docker and fortified with webhook verification and non-root execution, the platform delivered seamless automation—from task creation to pull request submission—with real-time feedback and error handling.
The client received a production-ready system that streamlined every step of their development workflow. It eliminated manual coordination, reduced delivery times, and provided a secure foundation for large-scale automation. With Claude AI orchestrating code generation and workflow management, the platform gave developers an intelligent system that handled complex operations with precision and reliability.
Autobot showcases how advanced AI can enhance real-world engineering operations. By combining technical depth with thoughtful automation design, we created a platform that scales efficiently while maintaining security and control. Our structured, modular approach empowers development teams to move faster, collaborate more effectively, and rely on AI as a true extension of their workflow.
AI-Powered Marketing Video Automation System
How we built an end-to-end automation platform that creates high-quality marketing videos in hours, not days.
A marketing professional needed a scalable way to produce short-form product videos for social media while maintaining creative quality. The manual process relied on freelancers and lacked consistency, speed, and flexibility for A/B testing. They needed a fully automated system that could generate, test, and deploy videos efficiently while staying adaptable to new AI tools and workflows.
We used our AI Readiness framework to analyze the client's workflow and design a modular automation system using self-hosted N8n pipelines. The solution integrated advanced AI tools such as Runway ML, ShotStack, Stability AI, and ElevenLabs, supported by centralized data management in Airtable. Intelligent automation flows with human verification points ensured quality control, while a dynamic A/B testing framework enabled rapid iteration. Built in agile sprints, the system evolved from MVP to a robust, production-ready automation platform.
The finished system automated every phase of video production—from script generation to rendering and delivery—cutting production time from days to hours. It empowered the client to produce multiple content variations across product lines simultaneously and at scale. With built-in quality checks and flexible architecture, the platform balanced automation with creative control, reducing costs while boosting content output.
Our framework combines strategic planning with technical execution. By aligning AI capabilities with business objectives, we designed a system that grows with new technologies and marketing needs. This adaptive approach ensures long-term value—transforming content production from a manual process into a scalable, intelligent workflow.
GlamGrid AI Social Spark – AI-Powered Social Media Platform
How we built a full-stack AI platform that turns brand assets into ready-to-publish social media content.
An entrepreneur envisioned a platform that could automatically generate and schedule branded social media posts by analyzing existing brand assets. The goal was simple but technically demanding—upload a website or Instagram profile and let AI produce stunning, on-brand content ready for publication. Delivering that required advanced integrations across AI content generation, social APIs, and payment systems—all in a user-friendly, scalable environment.
We developed a comprehensive full-stack social automation platform combining modern web technologies and AI. The frontend, built with Next.js, React, and Tailwind CSS, delivered a polished and responsive experience. The backend integrated Supabase, Stripe, and Meta's Graph API for secure authentication, subscription handling, and automated posting. Using AI models for content generation, brand voice detection, and scheduling, users could generate and preview content, then publish it directly—turning a once-manual process into a seamless, intelligent workflow.
The final product was a production-ready platform that automated every stage of social content creation and delivery. With secure backend operations, multi-tier subscriptions, and direct posting to Instagram and Facebook, GlamGrid drastically reduced manual effort. It enabled brands to generate and schedule consistent, high-quality posts within minutes—maintaining creative control while saving time and cost at scale.
Our method focused on building for scalability, performance, and long-term stability. By isolating sensitive operations to the backend and using modular architecture, the system can evolve without disruption. GlamGrid demonstrates how AI and intelligent design can bring efficiency, consistency, and creativity together—making high-quality digital marketing both automated and accessible.