Add AI to your product: chatbots, RAG search & document AIStephen via Replit
You already have a product. I add AI features that actually hold up in production, without you rebuilding your stack or standing up model infrastructure from scratch.
I have shipped LLM features across several codebases: chat assistants and agents, retrieval-augmented search over your own content, and document AI (OCR, extraction, classification), using OpenAI and Anthropic. I care about the parts that make AI features trustworthy: grounding answers in your data, guardrails and scope limits, handling failure gracefully, cost and latency, and not leaking secrets from the client.
What's included
- Chatbots and assistants grounded in your app and docs
- Retrieval-augmented (RAG) search with embeddings
- Document AI: OCR, extraction, classification, summarization
- Safe prompt and guardrail design (scope limits, disclaimers where needed)
- Clean integration into your existing API and UI
Ideal for: teams who want a real AI feature added to an existing product by someone who has done it before, not an experiment.
Contact for pricing
Duration1 week
Tags
OpenAI
Python
RAG
TypeScript
AI Chatbot Developer
API Integration
LLM
Machine Learning
Artificial Intelligence
Service provided by
Stephen via Replit proNairobi, Kenya
- $1k+
- Earned
- 14
- Paid projects
- 4.94
- Rating
- 8
- Followers
Add AI to your product: chatbots, RAG search & document AIStephen via Replit
Contact for pricing
Duration1 week
Tags
OpenAI
Python
RAG
TypeScript
AI Chatbot Developer
API Integration
LLM
Machine Learning
Artificial Intelligence
You already have a product. I add AI features that actually hold up in production, without you rebuilding your stack or standing up model infrastructure from scratch.
I have shipped LLM features across several codebases: chat assistants and agents, retrieval-augmented search over your own content, and document AI (OCR, extraction, classification), using OpenAI and Anthropic. I care about the parts that make AI features trustworthy: grounding answers in your data, guardrails and scope limits, handling failure gracefully, cost and latency, and not leaking secrets from the client.
What's included
- Chatbots and assistants grounded in your app and docs
- Retrieval-augmented (RAG) search with embeddings
- Document AI: OCR, extraction, classification, summarization
- Safe prompt and guardrail design (scope limits, disclaimers where needed)
- Clean integration into your existing API and UI
Ideal for: teams who want a real AI feature added to an existing product by someone who has done it before, not an experiment.
Contact for pricing