Mini Agentflow / AI Research Workflow System
A lightweight workflow system for AI-assisted research practice.
A system-oriented project for organizing AI-assisted research workflows, task decomposition, and repeatable analysis routines.
AI Workflow/Research Tools/LLM Agents
Context
Research work often involves many repeated setup, analysis, and documentation steps.
Problem
Without a workflow layer, AI-assisted research can become scattered, hard to audit, and hard to reuse.
Approach
Build a compact system that structures tasks, prompts, artifacts, and iteration loops around research work.
Outcome
Useful as a public signal of research tooling and systems thinking; details can be expanded when links are ready.
Artifacts
- → Workflow notes
- → Prototype code
Notes
Mini Agentflow represents the practical systems side of Xunzhuo’s work: building tools that make research workflows easier to repeat, inspect, and improve.
The first public version describes the project at a high level and avoids implying a polished product before a public release exists.