AGENTIC SYSTEMS
Marketing Veteran Builds Platform for Accessible AI
A digital marketing veteran with over thirty years of experience partners with Antematter to establish a platform that makes AI agents accessible to the public.
Our Client
Our client, a digital marketing veteran with 30+ years of experience, recognized AI’s transformative capabilities remained locked behind technical barriers and identified a key market opportunity in AI Accessibility for laypersons.
They partnered with Antematter to create an intuitive platform where laypeople could accomplish sophisticated AI tasks, such as drafting marketing content, research assistance or simply understanding their documents better, without requiring technical expertise, democratizing access to enterprise-grade AI functionality for mass-market adoption.
Core Challenges
The client faced a rapidly growing AI ecosystem that catered almost exclusively to technical users, leaving everyday professionals without accessible tools or clear entry points.
The core challenge was turning AI capability into usable experience. To achieve this at scale, the solution had to combine:
Bridging the usability gap between complex AI workflows and a layperson’s experience.
Trust and compliance through enterprise-grade data handling and protection.
Long-term scalability, a foundation that could grow from MVP to a global consumer product.
Our Solution
We designed and developed a full-stack AI platform that empowers anyone to perform sophisticated AI-driven tasks through a clean, intuitive interface.
The MVP focused on simplifying real-world AI use cases: document interaction, live conversation grounded in user data, and customizable AI behaviors and personalities. Each feature was engineered to eliminate friction while maintaining enterprise-level robustness and scalability.
Key Features and Impact
1. Authorization & Security: Every interaction on the platform is gated by secure user authentication, ensuring data privacy and regulatory compliance (GDPR and CCPA).
2. Retrieval-Augmented Generation (RAG): Users can upload text documents and directly query them in natural language.
3. Live Chat: A real-time chat interface powered by GPT-based models allows seamless back-and-forth conversations.
4. AI Personalities: Predefined communication styles such as CEO, Friendly, Technical, or Custom enable contextual responses aligned with specific tones or domains.
5. Membranes: “Membranes” are reusable AI workspaces that bundle prompts, rules, and documents. They simplified workflow setup for repeat tasks and reduced configuration time by 40%, making advanced AI interaction feel structured and repeatable.
6. Stackable Prompts: A visual no-code interface allows users to combine multiple prompts to form multi-step AI reasoning chains. This design enabled non-technical users to achieve developer-level automation, improving task success rates by 70%.
7. Chat History: All sessions are stored persistently, allowing users to revisit and continue previous conversations seamlessly.
8. Subscription & Access Management: Stripe-based billing and access control systems allowed seamless monetization and scaling. This positioned the platform for immediate market readiness without adding operational overhead.
MVP Architecture
The platform’s architecture was engineered for speed, reliability, and elastic scalability concurrent users demands. At its core, the system leverages a modular, serverless design that balances AI performance with cost efficiency.
Core Components:
Backend: FastAPI orchestrates all requests between frontend clients and AI services.
AI Layer: LangChain coordinates retrieval and generation flows using OpenAI and Anthropic models for conversational and document-based tasks.
Data Layer: PostgreSQL with Supabase manages user data and real-time synchronization, while PineconeDB handles vector embeddings and search.
Frontend Deployment: AWS Amplify delivers web and mobile applications globally with CDN distribution.
Backend Scaling: Google Cloud Run manages containerized AI services with automatic scaling based on usage demand.
Payments: Stripe integration supports tiered subscriptions and automated billing management.
Results
The platform achieved complete validation across our core dimensions - usability, security and scalability. Our platform was able to balance power with simplicity, receiving convincing results:
Task Success Rate: 87% of users completed AI tasks on their first attempt
Engagement: 14-minute average session duration
Our platform proves that powerful AI doesn’t have to be complex. By combining scalable architecture with intuitive design, Antematter delivered a platform that makes advanced AI workflows accessible, reliable, and ready for real-world use.
