AI demos are easy to build. Building an AI product that works reliably beyond the demo is the har...AI demos are easy to build. Building an AI product that works reliably beyond the demo is the har...
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Ankita Patil
• 9h
AI demos are easy to build.
Building an AI product that works reliably beyond the demo is the harder part.
I’m now offering Full-Stack AI Development on Contra.
I can help build AI products end-to-end, including:
→ AI agents and agentic workflows → RAG and semantic search → LangGraph orchestration → OpenAI and Gemini integrations → Embeddings and vector search → Supabase, PostgreSQL and pgvector → Structured outputs, validation and retries → Next.js frontends and backend APIs
A lot of my recent work has been around the layer between “call an LLM” and “build an actual product.”
That means thinking about what happens when retrieval fails, a model returns invalid data, an API call needs to be retried, or generated output needs to stay constrained to your application’s data.
If you’re building an AI MVP, adding AI to an existing product, or turning an AI workflow into a usable application, I’d love to work on it.
Service: https://contra.com/s/26bPbXPL-build-full-stack-ai-apps-agents-and-rag-systems
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