CLIENT NAME:
Morning AI
INDUSTRY:
Technology
PROJECT LENGTH:
Over 2 Years
TEAM SIZE:
5
Technologies:










Marketing agencies and internal brand teams faced a paradox: generative AI seemed able to play a huge part in content creation, content marketing, and digital advertising. But the tools available, from ChatGPT to Jasper, treated marketing as if a single user working alone could maintain brand voice across dozens of campaigns, products, and client relationships. An Chatbot interface was not enough; marketing agency owners around the world recognized this problem instantly.
Chris Curtis did too and knew that he could only solve the problem by building software - not a sloppy app written by AI and freelance developers, but a mature, secure, and professionally built software product. Chris knew he needed. a true software consulting partner; that's when he approached OCloud Solutions to build Morning AI, the digital marketing platform designed for how marketing teams actually operate.
The partnership began with a strategic decision that would shape everything that followed. Rehan Baber, OCloud's CTO, challenged Curtis' initial plan to target individual users. Instead, they would build for organizations and agencies, creating an architecture where organizations contain brands, brands contain customers and products, and content generation flows through these relationships. Marketing agencies could now manage multiple client brands while internal teams coordinated across products within a single platform.
OCloud Solutions faced a technical crossroads in 2023 when OpenAI lacked image generation support. The team needed to integrate Replicate for images alongside OpenAI for text, and the path forward became clear: they were heading toward a future of managing eight to ten different API integrations as new AI capabilities emerged. Rather than accumulating this technical debt, OCloud Solutions architected Morning AI on LangChain and LangGraph. This framework allowed the platform to incorporate multiple AI models through a unified interface, with four to five different LLMs now working behind the scenes, each optimized for specific tasks.
The development team built context engineering capabilities that separated dynamic elements (content templates, use case configurations, template prompts) from static brand, customer, and product data. OCloud Solutions' designers created an interface that masked the platform's technical complexity, while engineers constructed an admin portal that let Carter create new use cases and launch content types in 15 minutes without touching code. When Google released Gemini 2.5 Pro and Flash models, OCloud Solutions' team integrated them into Morning AI the same night.
As Morning AI launched, users began submitting feedback through Hotjar forms embedded throughout the interface, with responses arriving in a Slack channel Rehan monitors. The development team split into two tracks: one building core features, another responding to customer input. Marketing agencies discovered they could manage multiple client brands with d

Chris Curtis, driven by his vision for a new kind of AI-native marketing platform, sought a partner who could architect and build not just software, but a flexible foundation that could keep up with AI’s rapid evolution. He found that partner in OCloud Solutions, whose reputation for blending design, engineering, and strategic AI orchestration proved pivotal.

Chris Curtis, driven by his vision for a new kind of AI-native marketing platform, sought a partner who could architect and build not just software, but a flexible foundation that could keep up with AI’s rapid evolution. He found that partner in OCloud Solutions, whose reputation for blending design, engineering, and strategic AI orchestration proved pivotal.

Clarity emerged as both teams recognized the project would require more than simply coding an AI tool—it would demand foundational architectural design enabling LLM agnosticism, sophisticated context management, and an admin layer ensuring future-proof scalability. OCloud Solutions proposed a comprehensive partnership overseeing strategy, design, engineering, and ongoing support, matching the ambition and complexity of Morning AI’s goals.

Clarity emerged as both teams recognized the project would require more than simply coding an AI tool—it would demand foundational architectural design enabling LLM agnosticism, sophisticated context management, and an admin layer ensuring future-proof scalability. OCloud Solutions proposed a comprehensive partnership overseeing strategy, design, engineering, and ongoing support, matching the ambition and complexity of Morning AI’s goals.

OCloud Solutions won Morning AI’s trust not just with technical expertise but with strategic partnership. When Rehan Baber challenged the initial idea of targeting individuals and advocated for an organization-centered approach, he demonstrated a commitment to deeper product thinking—setting the tone for a true collaborative relationship.

OCloud Solutions won Morning AI’s trust not just with technical expertise but with strategic partnership. When Rehan Baber challenged the initial idea of targeting individuals and advocated for an organization-centered approach, he demonstrated a commitment to deeper product thinking—setting the tone for a true collaborative relationship.

The breakthrough came during 2023, when the team confronted OpenAI’s lack of image-generation support and realized that managing individual integrations for each new AI capability would bog down development. The decision to rebuild Morning AI on LangChain and LangGraph—enabling true LLM agnosticism—meant the platform could instantly add new models and maintain its edge over the competition.

The breakthrough came during 2023, when the team confronted OpenAI’s lack of image-generation support and realized that managing individual integrations for each new AI capability would bog down development. The decision to rebuild Morning AI on LangChain and LangGraph—enabling true LLM agnosticism—meant the platform could instantly add new models and maintain its edge over the competition.

The launch of Morning AI marked more than just a product release; it was the debut of a complete platform architected from scratch to be flexible, scalable, and adaptive. With all pieces in place—organizational models, brand and customer DNA modules, a dynamic template system, and real-time feedback mechanisms—Morning AI went live ready to both serve and continuously evolve with its users.

The launch of Morning AI marked more than just a product release; it was the debut of a complete platform architected from scratch to be flexible, scalable, and adaptive. With all pieces in place—organizational models, brand and customer DNA modules, a dynamic template system, and real-time feedback mechanisms—Morning AI went live ready to both serve and continuously evolve with its users.

Morning AI’s impact was evident as soon as five-star reviews poured in and agencies adopted the platform to manage multiple brands and coordinate team workflows. The architecture allowed instant adoption of new AI models—integrating models like Gemini 2.5 on launch day—and empowered Chris to create entirely new content types without developer bottlenecks, dramatically increasing agility and market responsiveness.

Morning AI’s impact was evident as soon as five-star reviews poured in and agencies adopted the platform to manage multiple brands and coordinate team workflows. The architecture allowed instant adoption of new AI models—integrating models like Gemini 2.5 on launch day—and empowered Chris to create entirely new content types without developer bottlenecks, dramatically increasing agility and market responsiveness.
"OCloud Solutions is *the* core partner of MorningAI - without OCloud Solutions, MorningAI would be a shower thought. In our partnership over the past three years, i have seen them go from being an expert software consulting firm to literally one the world's leading creators of AI-native SaaS software."