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AI Knowledge Bot — AI-Powered Knowledge Management Platform
AI / Full-Stack Development
AI Knowledge Bot is an enterprise knowledge-management platform that allows users to ask questions about documents uploaded by administrators and receive context-aware answers with source references.
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👋 Hi Contra!
I'm a full-stack developer with 7+ years of commercial experience, and right now I'm actively looking for new projects.
I build things from idea to production:
• Websites and web apps with Next.js & React
• Backend and APIs with Python / FastAPI / Node.js
• PostgreSQL and databases
• Telegram bots, Mini Apps and automation
• AI-powered tools and integrations
• MVPs and internal tools
I recently joined Contra and have already completed my first project — now I'm looking to take on more work and build long-term relationships with great clients.
At the moment, I have availability and I'm flexible with project budgets, especially for interesting projects, startups and long-term collaborations.
If you need someone who can take an idea, build the frontend and backend, connect APIs, AI services or payments — and actually ship a working product — I'd love to talk.
And if you know someone looking for a developer, I'd really appreciate a connection or a share 🙌
Impressive experience and skill set; great to see strong full-stack expertise paired with polished, production-ready work! 👏🚀
AI contract review SaaS on Make.com: 1,000-page contracts read with citations, 94.9% accuracy
A property-law specialist in Australia wanted contract review that a lawyer can trust, which means every answer has to point at the clause it came from. No citation, no answer.
We built the product as a multi-tenant SaaS: a Next.js front end on Supabase, with Make.com as the entire backend. A firm uploads a property contract of 100 to 1,000 pages. Make.com splits it, drives the AI extraction and drafting, and returns a finished review document in the app and by email, every fact carrying a page reference. Each firm has its own quota, Stripe billing and an admin re-run tool.
The app itself is a proper product, not a form: a reviews table grouped by type with date filters and sort backed by the database, per-review run history with re-run, DOCX and PDF export, in-app or email delivery, a monthly review quota per firm and a file retention date on every submission. Front end on Vercel, database on Supabase, backend on Make.com.
The hard part was not the AI, it was long documents and rate limits. A 100 to 1,000 page contract cannot go through a model in one call, so the pipeline chunks, queues and resumes, honours Retry-After headers and uses idempotency keys so a retried chunk never writes twice. We built a golden-test set from real contracts and score every prompt version against it, with a five-category failure taxonomy.
Result: out-of-sample accuracy rose from a 70.2% mean to 79.5% between versions, with a best run of 94.9%, and a latent 1,000-page context bug was caught before it reached a client.
The full case study, with the product screens, is on my profile.
Prem Patel, Nex Automations. Make.com Level 5 certified, official Make partner, Zapier Certified Expert.
This sounds so helpful! I love the concept for this and the amount of effort.