Cut the Hype. Show the Code.
Welcome to AI Builders, a brand-new conference designed by builders, for builders.
We’ve all been to events packed with high-level AI philosophy, generic slide decks, and corporate buzzwords. This is not that conference. AI Builders is a first-of-its-kind event dedicated entirely to Practical AI in the real world. We are debuting a unique, fast-paced format focused on raw execution, engineering ingenuity, and tangible results. If you have built something that solves a messy, real-world problem, handles production scale, or pushes the boundaries of what open-source or commercial models can actually do today, we want you on our stage.
We are here to learn about AI Adoption in your organization.
Our Agenda: Zero Fluff
Our philosophy is simple: Less talking about what AI could do, more showing what AI is doing.
We are looking for focused, high-impact talks that make the audience lean in, think deeply, and react. Expect an audience of sharp software engineers, AI architects, data scientists, and technical product creators who want to see the architecture, the edge cases, the failures, and the triumphs.
Brought to you by EventHandler - EventHandler is a boutique conference organizer specializing in large-scale events for the software and technology sectors, such as AI Dev TLV, ReactNext, Leaders In Tech, and more.
Our conferences are widely recognized as the premier events in the Israeli tech ecosystem, consistently praised by leading tech communities as the top choice for developers and companies
We continually expand our conference offerings, staying at the forefront of the most innovative and exciting developments in the software industry. Feel free to follow us or reach out for more information.
What We Are Looking For
We want presentations that are practical yet impressive. Your proposal should promise a talk that gives attendees a "lightbulb moment" or a concrete blueprint they can apply to their own stacks the next day.
Optional Session Formats:
Suggested Topics:
Agentic Workflows that Work: Building, debugging, and steering multi-agent systems that actually complete complex business tasks without hallucinating.
Code Quality: Balancing speed and quality, human-in-the-loop techniques, techniques for planning and design reviews
Harness your harness: Tips for getting the most out of your harness, creating battle-tested skills backed by evals, maintaining personalized and organizational memory
PRs by non-devs: Real-world experience bringing non-developer stakeholders into the codebase and shipping production code
UX for AI: Brilliant, non-obvious interface design decisions that make AI features intuitive and reliable for human users.
Hard Lessons from the Trenches: "We tried X, it failed horribly, here is the architecture that actually fixed it."
Production-Grade LLM Ops: Dealing with latency, cost optimization, evaluation frameworks, and monitoring in the wild.
Advanced RAG & Vector Databases: Moving beyond naive RAG. Think chunking strategies, hybrid search, graph integration, and handling unstructured enterprise data.
Fine-Tuning & Local Models: When, why, and how to fine-tune smaller, open-source models (Llama, Mistral, etc.) to outperform generic frontier models.
The AI Edge: Deploying efficient models on-device, IoT, or constrained environments.
Pro-Tip for Applicants
We judge proposals based on concrete details. Instead of "I will talk about how to use agents," try "How we built a 3-agent system using LangGraph that cut our customer support escalations by 40%, including code snippets of our state-management fix."
What We Are NOT Looking For
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