Abraham Intelligence

A benefits and financial wellness guide for early-career employees.

Inspiration

Choosing benefits is confusing, especially at the start of a career. We wanted to create a simple, trustworthy AI tool to help employees make informed choices with confidence.

What We Learned

We explored how benefits like short-term disability, hospital indemnity, and life insurance work. We also learned how to use AI to translate user needs into clear, personalized recommendations.

How We Built It

We used a monorepo structure with:

• React + TypeScript + Tailwind for the frontend
• AWS Amplify + DynamoDB for the backend

Features include a dynamic onboarding questionnaire, AI-driven recommendations, and voice/call support using ElevenLabs.

Challenges

We had to simplify complex benefits concepts into understandable logic. We also worked to build user trust in AI by adding clear explanations and recommendations. Integrating call and voice features was technically challenging but rewarding.

Recommendation Logic

We used inference rules like:

Each answer contributes to a scoring model that suggests the best plan.

Final Thoughts

We built a tool that makes benefits decisions easier. It is simple, helpful, and designed for real people.

Built With

• amazon-web-services
• css
• dynamodb
• elevenlabs
• engine
• eslint
• framer
• framework
• git
• lambda
• llm
• motion
• node.js
• npm
• openai
• react
• serverless
• tailwind
• twilio
• typescript
• vite