I will build a python ai automation with openai, claude or any llm

Tired of repetitive work that needs human judgment? Reading documents to find answers? Classifying support tickets? Generating reports from raw data?

I build Python automations that use LLMs (Claude, OpenAI/GPT) to do work that used to need a person reliably, at scale, in production.

REAL EXAMPLES:

• WhatsApp support triage that classifies messages and creates structured Linear tickets (live at Sharpi)
• RCA report generator from production logs
• Internal Q&A bot from private docs (RAG with vector DB)
• Document classification + enrichment pipelines
• Email-to-action automations

STACK:

Python · Anthropic Claude · OpenAI · FastAPI · AWS Lambda · Postgres · structured output via tool-use (no LangChain schema enforced by the LLM)

WHY ME:

• Solutions Engineer doing this work in production daily
• I know what works in real systems vs. flashy demos: token costs, latency, hallucination guardrails
• I deploy on AWS Lambda or wherever you need
• Clean, documented, production-grade code

BEFORE ORDERING:

Message me with the task. I'll tell you honestly if LLMs are right for it (sometimes they're not) and recommend the right package.