
End-to-End AI App Engineering with Modern Tooling
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About this service
Summary
What's included
Requirements Review & Technical Scope
Written summary of the project goals, AI capabilities, and architecture Agreement on tools, APIs, or models (e.g., OpenAI, vLLM, LangChain)
Working AI-Powered Application
Custom web app or backend system with integrated AI logic Supports text input, API interaction, and optional memory or storage Hosted locally or deployed to a cloud environment (e.g., GCP, AWS, Vercel)
Clean, Documented Source Code
Python (FastAPI), TypeScript (React), or your preferred stack Includes setup instructions and environment config GitHub repo or zip archive delivery
Prompt/Agent Logic
Custom prompts, chains, or agents tailored to your use case Tool integrations or memory modules (e.g., RAG, vector store, file I/O)
README + Usage Guide
Step-by-step instructions for running and testing the app API reference if endpoints are exposed
Skills and tools
Industries