​Open Source Surat Organizes: From Prompt to Action: Hands-On with AI Agents in collaboration with Indian Open Source Community

​Prompt, Plan, Perform - The Agentic Revolution in AI - Ashok Vishwakarma

​Curious about how AI really works under the hood? Tired of hearing buzzwords like “LLM” and “Agents” thrown around without context? This session is your no-fluff, high-energy, beginner-friendly guide to understanding the most disruptive tech of the decade, Large Language Models and AI Agents.

From prompting to planning, you’ll learn how AI agents can act, reason, and operate with goals, making them useful for tasks far beyond simple chatbot Q&A.

Key learnings
- Clearly define what a Large Language Model (LLM) is and how it works
- Understand the strengths, limitations, and ideal use cases for LLMs
- Learn what differentiates AI Agents from chatbots and traditional tools
- Walk away with a framework to evaluate and build LLM-powered solutions

​Hands-On Workshop: Designing Autonomous AI Research Agents - Jay Thakkar

​Workshop Description
This workshop focuses on building autonomous AI research agents that can independently investigate a topic, gather relevant information, and generate structured knowledge outputs. Participants will learn how to move beyond single prompts and design agents that reason, plan, and act iteratively.

​Key highlights include:

• ​Architecting a research agent pipeline

• ​Prompt strategies for research-grade accuracy

• ​Tool integration for web search and content extraction

• ​Managing context, memory, and intermediate reasoning

• ​Generating final research artifacts (summaries, bullet reports, citations)

​This session is ideal for developers, researchers, and AI practitioners looking to build intelligent systems that can perform deep research tasks with minimal human intervention.