Project Description
I’m building a Python-driven, agentic system that leans on Anthropic’s Claude API to remove as much manual effort as possible from my day-to-day e-commerce operations. The core objective is process automation: I want autonomous code that can watch key events, decide what has to happen next, and execute the required steps without human intervention.
Right now the priority is e-commerce automation—things like order lifecycle handling, inventory syncs, customer-service ticket triage, and routine report generation. The architecture will likely involve a mix of Claude function-calling, LangChain (or a similar framework), and robust error-handling so that every agent knows when to escalate and when to retry.
Deliverables
• Well-documented Python modules that expose clean functions for each automated process
• Agent orchestration logic wired to Claude and tested end-to-end on sample data
• A short read-me plus setup script so I can launch the system on my own server and extend it later
Acceptance criteria
The code must run locally on Python 3.11+, complete each targeted workflow without manual input, log every decision made by the agents, and include unit tests that cover the critical paths.
If you have hands-on experience chaining Claude with external APIs and you enjoy turning repetitive workflows into self-running pipelines, this project should be a perfect fit.