Cover Image for Building Multi-Agent Systems: Practical Workshop for AI Builders
Cover Image for Building Multi-Agent Systems: Practical Workshop for AI Builders
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Building Multi-Agent Systems: Practical Workshop for AI Builders

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About Event

Turn your AI into a full-stack teammate.

Imagine an AI system that reads a customer complaint, drafts a response, calculates the refund, loops in a manager if needed, and triggers a Stripe payout; all without you writing custom logic for each step.

That’s the power of multi-agent systems: autonomous, modular workflows where agents collaborate, delegate, and adapt.

This isn’t a panel. It’s not a keynote. It’s a hands-on session for developers building AI-native products, especially those ready to go beyond single-shot prompting and explore the architecture behind real coordination.


🧠 What You’ll Learn

Architectures, tools, and workflows to build multi-agent systems that actually ship.

🔁 Multi-Agent Workflows

  • Collaborative Multi-Agent Systems

  • Hierarchical Agent Teams

  • Evaluator-Optimizer Loops

  • Planner-Executor Architectures

  • Parallel Task Execution

  • Subgraph-Based Multi-Agent Systems

⚙️ Routing & Control

  • Logic Flows

  • Routing Mechanisms

  • Streaming Outputs

  • Memory-Enhanced Interactions


🎯 Who It’s For

  • Engineers building agents, copilots, or AI workflows

  • Developers exploring chaining, orchestration, or automation

  • Anyone curious about turning LLMs into systems that think and act


​👨🏾‍💻 Workshop led by

Anil Dukkipatty - CTO & Co-founder @ Revise.network

Anil has 10+ years of experience building secure systems across blockchain and AI. He contributed to TMSP (now Cosmos SDK) and led protocol architecture at Elemential for clients like NSE and ICICI, using Raft, P2P gossip, and Solidity.

Most recently, he has fine-tuned domain-adapted LLMs for crypto trading by integrating technical analysis into transformer architectures. Used Qwen and LLaMA 3.1 as base models, applying DoRA for efficiency. Deployed inference using vLLM and orchestrated it with Ray for parallelization.
Tight group. Practical focus. Limited seats.


This will be a high-signal room for builders who want to ship smarter agent infra, not just talk about it.

👉 Reserve your spot before we cap the list.


📍 Venue

Ramen Space, Dalston, Unit 6, Sledge Tower, Dalston Square, London, E8 3GT. (It's next to Dalston Junction overground station, opposite a restaurant called Mildred's).

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Visit Ramenclub.so

A modern, builder-friendly space in the heart of East London, easy to reach, with great vibes for hands-on sessions.


🤜🤛 Partners

AIPressRoom - AI Press Room is a news platform dedicated to covering the latest in artificial intelligence. Founded in 2023, it offers reliable, concise, and unbiased updates across AI innovation, startups, events, and expert opinions, helping professionals stay ahead in a fast-moving field.

Location
Ramen Space
Unit 6, Sledge Tower, Dalston Square, London E8 3GP, UK
Ramen Space, Dalston, Unit 6, Sledge Tower, Dalston Square, London, E8 3GT. (It's next to Dalston Junction overground station, opposite a restaurant called Mildred's).
Avatar for Beyond Prompts
Presented by
Beyond Prompts
47 Going