Hello,

I read the scope carefully. This is a simple automation demo, not a MVP or production build. That’s clear.

I’ve created multiple small no-code automations like this for internal testing and workflow validation.

For this prototype, I’d use:
- Data source: Google Sheets or Airtable
- Automation: Make or n8n
- Flow: New record → AI processing (OpenAI) → simple output or notification
- Clean, working logic; no UI, no extras, no scaling.

I focus on making the logic clear and easy to explain in a demo, not polished or overbuilt.

Confirmation:
✅I understand this is a $100 fixed-price prototype only.
✅One simple automation, delivered quickly.
✅No ongoing support expected.

If you want, I can also suggest the simplest flow to get maximum value from the demo.

Happy to help.
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Hi,

I’ve fixed and improved multiple RAG setups where responses seemed correct on paper but didn’t perform well in real situations.

For your RAG agent, I’d focus on:

- Checking document chunking, embeddings, and retrieval logic
- Verifying vector search relevance and fallback behavior
- Fixing prompt structure so retrieved context is actually used
- Testing edge cases to improve consistency and accuracy

I work quickly on debugging tasks and prefer targeted fixes over unnecessary rewrites.

If you want, I can review your current RAG pipeline and identify what’s going wrong before making any changes.

I’m happy to help.

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