AICloud

WhatsApp AI assistant

An LLM assistant that answers people on WhatsApp from the client's own content, running serverless on AWS, with a cost model to price it.

Area
AICloud
Built with
AWS LambdaBedrockS3 VectorsAurora Serverless v2React
Benefits

What it delivers

01

Grounded answers

Replies come from the client's own content, not generic web text.

02

Pay per use

Serverless, so cost follows actual usage.

03

Priced with data

A cost simulator set the customer's pricing before launch.

How it works

From input to result

The path data takes through the system. The highlighted step is where the main work happens.

  1. 01WhatsApp
  2. 02Lambda
  3. 03Bedrock + RAG
  4. 04Aurora Serverless
  5. 05Reply

What I built

  • Serverless backend on AWS Lambda and Aurora Serverless v2
  • Retrieval-augmented answers with Bedrock and S3 Vectors
  • React cost simulator covering model tokens, database, security services and WhatsApp per-message fees
Tech stack
AWS LambdaBedrockS3 VectorsAurora Serverless v2React
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Ongoing Support

Regular engineering hours alongside your team.

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