MENA AI and Data Community

A good agent isn't one big prompt — it's a loop. Which loop pattern you choose decides whether your agent is fast, reliable, self-correcting, or falls apart the moment a task gets complex.

In this session, we go deep on the 5 loop patterns behind every production agent:

• ReAct — reason, act, observe, then plan the next step. The most common loop, alternating between thinking and calling a tool.
• Reflexion — adds persistent memory on top of ReAct. The agent remembers what went wrong last time and carries that forward — genuinely episodic memory for machines.
• Plan-and-Execute — separates the thinker from the doer. A planner model breaks the goal into ordered sub-tasks; a separate executor runs a tight loop on each one and reports back. Planning quality and execution speed can now scale independently.
• Evaluator-Optimizer — turns generation into a multi-model dialogue. A generator produces a draft, an evaluator grades it against specific criteria and gives feedback, and it loops until the draft passes. This is the exact architecture behind our DDS AI App Reviewer's rubric scoring.
• Orchestrator-Workers — built to prevent context saturation. A central coordinator delegates sub-tasks to independent worker agents, each running in its own isolated context window, so no single conversation drowns in the full task's detail.

The real takeaway: you rarely pick just one. Production systems compose them — commonly an orchestrator running ReAct-style workers, gated by an evaluator.

### Live Demo • Practical Workshop • Networking • Kahoot Quiz • Giveaways

AI is moving beyond simple prompts and basic chatbots.
The next major shift is about building agentic AI applications — systems that can use tools, follow workflows, connect with business data, reason through tasks, and solve real problems.
Join Decoding Data Science for a practical AI workshop and networking session at in5 Tech, Dubai, where we will explore how founders, builders, startups, and business teams can move from AI ideas to working applications.
In this interactive session, we will break down the four major shifts in AI application development:
Prompt Engineering → Context Engineering → Harness Engineering → Loop Engineering
We will explain how these techniques are shaping the next generation of AI products and how they can be applied in real business and startup use cases.
The session will also include a practical walkthrough of an HR Enterprise Chatbot demo, showing how an AI idea can move from concept to implementation using RAG, tools, workflows, business context, and evaluation.
This is not just a theory session. You will see how real AI applications are structured, connected, tested, and improved.

## Key Takeaways

Participants will learn:

• What agentic AI applications are and why they matter now
• How AI agents use tools, workflows, and business context
• How to move from chatbot ideas to real AI systems
• How to identify useful AI use cases for startups and businesses
• What Prompt Engineering, Context Engineering, Harness Engineering, and Loop Engineering mean in practical terms
• How RAG, tools, workflows, and evaluation come together in enterprise AI projects
• What it takes to build AI applications beyond simple demos

## Live Demo

We will walk through an HR Enterprise Chatbot project to show how a real AI application can be designed and implemented.
The demo will cover how an AI system can:

• Understand business context
• Use company knowledge through RAG
• Connect with tools and workflows
• Handle real user queries
• Be evaluated and improved for production readiness

## Who Should Attend?

This session is ideal for:

• Startup founders
• Product builders
• Business leaders
• Innovation teams
• Developers
• No-code builders
• AI enthusiasts
• Students and professionals exploring practical AI use cases
• Anyone who wants to move beyond basic prompting and understand how real AI applications are built

## Prizes & Giveaways

We will also host an exciting Kahoot quiz during the workshop.
The top 3 winners will receive access/scholarships to the AI for Management program, with prizes worth $1,800 in total.

## What to Expect

Expect a practical, interactive, and high-energy session with:

• Real AI application examples
• Live demo walkthrough
• Startup and business use cases
• Practical frameworks
• Kahoot quiz
• Giveaways
• Networking with founders, builders, and AI enthusiasts
• Clear next steps to start building with agentic AI

Whether you are just exploring AI or already building AI-powered products, this workshop will help you understand where AI application development is heading — and how to apply it in real business scenarios.

Join developers, founders, mentors, and investors in a high-energy tech meetup where ideas turn into real products.

✨ What’s inside?
⚡ Lightning AI & product demos (5-minute power sessions)
🤝 Curated networking by domain & skill level
💡 Founder × Investor rapid feedback & warm intros
💼 Jobs & collaboration opportunities
🔥 Special spotlight: AI Residency + 8-Day AI App Challenge launch

🎯 Who should join?
Developers, Data Scientists, Founders, Operators, and Investors ready to build, collaborate, and grow.
Leave with connections, opportunities, and action steps.

Don’t miss out — this is where builders meet builders.