Research tasks often involve gathering information from multiple sources, validating findings, and synthesising insights into actionable outputs. In this session, we will explore how OpenClaw enables AI-driven research workflows that go beyond simple search and retrieval. Through a live demo, attendees will see how AI agents can autonomously collect information, perform multi-step research, evaluate sources, and generate structured results. We will also cover key architectural patterns and practical considerations for building reliable and scalable research systems using OpenClaw.

Participants will leave with a practical understanding of how to build intelligent research agents that accelerate knowledge discovery and reduce manual effort.

What You Will Learn

• The "Smart" Pipeline: How to distinguish between tasks that need rigid automation (Bash, Python, Slurm) and tasks that benefit from adaptive AI reasoning.

• Setting Up OpenClaw: A step-by-step guide to installing the OpenClaw daemon and securely connecting it to advanced models (like Google Gemini or Ollama) using API keys.

• Autonomous Quality Control: How to give your agent "eyes" to visually check your simulation's figure outputs for numerical artifacts or physical plausibility.

• Literature & Workflow Synthesis: How to program OpenClaw to automatically query academic databases, synthesize unstructured papers against your model's timeline, and text summaries directly to your phone.

Traditional automation is great for moving data, but it can’t look at a plot and SEE if a model is diverging, or READ the literature to contextualise YOUR results. OpenClaw, an open-source, self-hosted AI agent platform that acts as a 24/7 autonomous research assistant running on your own or chosen hardware that can 10x your research output.

Why You Should Join

As a researcher, your time is best spent on high-level analysis. This hands-on workshop will show you how to securely offload the cognitive "connective tissue" of your research to a local AI companion. You will leave with a fully functioning background agent tailored to your science, built with strict "human-in-the-loop" guardrails so you always retain absolute control over your computational experiments.

Who Should Join

This workshop is designed specifically for domain scientists and researchers who might know their way around a Matlab/bash/R/Python script, but want a practical, secure introduction to utilising AI agents.

Find the Lab:

https://geeta-gwalior.github.io/AI-Driven-Research-Workflows-with-OpenClaw/#0