Habitual Growth - SequoiaAI POC

We built an investor-ready AI goal achievement platform in just 150 hours - proving both the product vision and the power of AI-augmented development. Here's how we combined LangGraph orchestration with modern web technologies to create SequoiaAI, an intelligent companion that actually understands your goals and helps you achieve them.

About Habitual Growth

Habitual Growth is a B2C startup focused on helping individuals accomplish their goals and become better versions of themselves. Recognizing that most goal-setting applications fail due to lack of personalization, adaptability, and ongoing engagement, the company wanted to leverage AI technology to create a truly intelligent tool. Their goal was to develop a system that could understand user context, provide expert guidance and plan across different domains, and maintain long-term engagement through adaptive follow-up, plan adaptation, and conversational interaction. They also envisioned this as the foundation for future B2B opportunities like personalized employee onboarding.

The Challenge

Habitual Growth initially engaged us to develop a compelling proof-of-concept for investor demonstrations while validating the technical feasibility of AI-driven goal achievement. After successfully scoping the project, our role expanded to architect and build a full-stack platform that could serve as both a demonstration tool and foundation for production deployment.

The company needed to address several critical challenges: creating an AI system that could meaningfully understand and adapt to diverse goal types (career, health, personal development, business, etc.) while maintaining consistent quality; designing a conversational intake process that could intelligently gather context without overwhelming users; translating high-level goals into concrete, achievable action plans; and building an AI partnership model that could maintain long-term user engagement through meaningful interactions over weeks or months.

Most critically, Habitual Growth needed a robust, scalable architecture that could handle real-time streaming responses, maintain conversation state, integrate multiple LLM workflows, and provide a seamless user experience—all while being production-ready for future iOS integration and compelling enough to demonstrate the vision to potential investors.

Solutions and Outcomes

To address these challenges and position Habitual Growth for investor success, our team leveraged FastAPI, LangChain, LangGraph, and OpenAI GPT models to create SequoiaAI - a comprehensive goal achievement platform with sophisticated AI orchestration.

Enable intelligent personalization

Implemented a dynamic persona system that generates domain-specific AI guides for each user goal. The platform creates personas with appropriate expertise (business, health, education, etc.), maintains consistent personality throughout the journey, and adapts guidance based on domain-specific best practices - ensuring users receive relevant, expert advice rather than generic templates.

Create natural and intuitive experiences

Built an adaptive intake process using LangGraph state machines. The system generates targeted questions based on goal domain and previous responses, provides intelligent suggestions, adapts questioning strategy dynamically, and knows when to stop asking and proceed to planning. Implemented Server-Sent Events (SSE) for real-time streaming AI responses and status updates for better user feedback.

Deliver actionable planning

Developed an intelligent planning engine that transforms goals and context into concrete action plans. The system generates comprehensive, personalized plans based on intake information, breaks down high-level objectives into specific achievable tasks, creates realistic timelines and milestones, and provides actionable tasks that are in line with Habitual Growth's existing framework.

Maintain long-term engagement

Created a follow-up agent using LangGraph's persistent checkpointing capabilities to provide ongoing AI partnership. The agent maintains conversation history across sessions, accesses user goals, tasks, and progress data through integrated tools, provides accountability check-ins and progress tracking, offers contextual advice and course corrections, and engages in natural dialogue while staying focused on goal achievement.

Deliver an investor-ready POC

Built a FastAPI backend with SQLAlchemy/SQLModel for robust data management as a backend. A SvelteKit and Typescript based frontend was created specifically to demonstrate the product's capabilities and showcase its potential for investors. The frontend was designed to be intuitive and user-friendly, and included features specific for demonstration - like the ability to simulate task completion and partnership interaction on dates in the past or in the future. This also allowed for comprehensive testing of the backend API - which will eventually be integrated into their iOS app.

Achieve exceptional development efficiency

Completed full-stack proof-of-concept development in just 150 hours over 4 weeks by leveraging AI-augmented development practices. This approach enabled a lean team to deliver a sophisticated, investor-ready application that would traditionally require significantly more time and resources—demonstrating both the product's viability and the efficiency of modern AI-assisted software development.

The Takeaway

By combining sophisticated LLM orchestration with modern web technologies, SequoiaAI successfully validates Habitual Growth's product vision and provides a compelling demonstration for investors. The platform doesn't just automate task management—it provides genuine intelligent companionship for goal achievement through adaptive personas, natural conversation, actionable planning, and sustained engagement.

The proof-of-concept establishes a solid technical foundation for future development, with comprehensive handoff documentation enabling confident discussions about iOS integration and production deployment with investors and development partners. Most importantly, the project demonstrates the transformative potential of AI when thoughtfully integrated into user-facing applications, and when used to augment existing development workflows.

Project Type: Proof-of-Concept / MVP for Investor Demonstrations

Duration: 150 hours over 4 weeks

Technologies: Python 3.13, FastAPI, LangChain, LangGraph, OpenAI GPT, SQLAlchemy, SvelteKit, TypeScript, Tailwind CSS

Development Approach: AI-augmented development enabling single developer to accomplish full-stack work typically requiring larger teams

Status: POC complete and ready for investor demonstrations; production roadmap delivered

Next Phase: iOS mobile app integration and production deployment