SenexAI
An innovative SaaS platform for document analysis, built from scratch for freelancers and small businesses who lack the time to wade through legal jargon. The application automatically analyzes contracts, catches unfavorable clauses, warns against risks, and generates instant summaries, transforming a stack of complicated paperwork into a clear, interactive panel.
Timeline
6 months
Year
2025
Platform
Web Application


Architecture & Stack
Next.js
My main framework for deploying production-ready SaaS applications. Thanks to Server Actions and flexible layouts, building secure dashboards was exceptionally simple.
Supabase
Responsible for everything: from lightning-fast user authentication and secure storage of analysis data to automated triggers in the Postgres database.
OpenAI API
The analytical brain of the application. I utilized advanced prompt engineering to turn chaotic legal records into perfectly structured JSON objects.
Tailwind CSS
Allowed me to create an ultra-clean bento-grid interface. Thanks to smooth micro-interactions, the platform looks and feels like a professional tool.
The Engineering Challenge
Senex AI was born out of a simple frustration: reading complex contracts is tedious, slow, and easy to miss something. I created this tool specifically for freelancers and small businesses who need a reliable review of their documents but don't have the budget for expensive legal services. Instead of forcing users to paste walls of text into generic AI chats, I designed a dedicated workspace. Simply upload a PDF, and the app instantly extracts key data, calculates financial risks, maps out deadlines, and warns against traps. To ensure top-tier privacy, I enforced a strict 'No-Training' policy for the AI models. Working on this project was a deep test of full-stack architecture – from parsing files and legal compliance issues to orchestrating real-time AI context.
As a solo creator building a complete SaaS from scratch, I had to deal with secure backend logic and implementing a billing system. I integrated the Stripe API to efficiently manage user subscriptions, tier limitations, and automated webhooks that instantly synchronize the user's account state.
The biggest challenge was the error-free processing of legal texts. I spent weeks refining prompts and API architecture to ensure the AI engine wouldn't hallucinate, strictly adhered to the contract context, and always returned data in a clean JSON format.
Interface Gallery
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