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AI Experiments

LLM-powered tools and AI integrations

PythonLLM APIsNode.jsReact
AI Experiments main screenshot

The Problem

Clients kept asking 'can AI do this for us?' — without prototypes, the answer stayed theoretical.

The Solution

A series of focused AI prototypes: document Q&A over business files, AI content assistants, and chat interfaces wired to real product data — proving value before committing to builds.

Key Features

  • Retrieval-augmented Q&A over uploaded documents
  • AI writing assistant with brand-tone presets
  • Chatbot integrations embedded into existing products

Architecture

Node.js/Python services calling LLM APIs with retrieval pipelines; React chat frontends with streaming responses.

Results

Two prototypes graduated into funded client features.

Timeline

Ongoing exploration

Lessons Learned

  • · Prompt pipelines need the same rigor as code — versioning, evals, and fallbacks.

Future Improvements

  • · Agentic workflows for operations automation

Next project

Varahi SolarX