AI Agent · Intelligent Workflow
An AI-powered system designed to automate a multi-step workflow using agent-based reasoning, tools and external data sources.
01 — Problem
The workflow required several manual steps: gathering information from different sources, reasoning about it, and producing a structured result. It was slow, repetitive and error-prone.
02 — Solution
I designed an agent-based system where an LLM plans the steps and calls dedicated tools (APIs, data lookups, document retrieval). Each step is observed and validated before the next one runs.
03 — Architecture
Planner → tool calls → observation loop → structured output. Tools are isolated Python functions with typed inputs, which keeps the system testable and easy to extend.
04 — Result
A usable application rather than an experiment: the workflow runs end to end, with clear logs and a human review step where decisions matter.