Most AI prototypes don’t fail because the model isn’t capable. They fail because retrieval is unr...Most AI prototypes don’t fail because the model isn’t capable. They fail because retrieval is unr...
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Naman Gupta
• 8h
Most AI prototypes don’t fail because the model isn’t capable.
They fail because retrieval is unreliable, tool calls lack guardrails, and nobody can explain why the agent made a decision.
I’ve been working on these problems across MCPHub, AgentMesh, ReasonFlow and real production RAG pipelines—including improving retrieval precision from approximately 55% to 95%+ across 500+ daily queries.
I’m now offering a focused two-week engagement for startups that need one reliable AI agent or RAG workflow shipped into production.
What’s included:
• Agent or RAG architecture • OpenAI, Claude or Gemini integration • Retrieval and vector database setup • Tool calling and API integrations • Human-in-the-loop approval • Basic evaluations and execution tracing • Deployment and source-code handoff
Starting at $1,250.
If your AI prototype works in a demo but isn’t ready for real users, let’s talk.
https://contra.com/s/PvYABgEU-production-ready-ai-agent-or-rag-mvp-for-your-startup?r=naman_gupta_4ebsn7ig
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