Speaker Guidelines
We're looking for practitioners, not theorists. Our community values real-world experience over academic theory. We want speakers who have actually shipped AI to production and can share practical insights that attendees can immediately apply.
Ideal Speaker Profile
- •Proven practitioners who have built and scaled AI systems beyond demos
- •Technical founders who have shipped AI products to real users
- •Senior engineers/architects with production AI experience at any company size
- •Technical leaders who can share specific implementation techniques
Perfect Talk Topics
- •"How I took this AI system from demo to production"
- •Specific techniques for productionising AI systems
- •Real working examples of AI agents and productivity solutions
- •Cutting-edge but realistic AI implementations
Talk Format Requirements
Structure
- • 15-minute presentation + 5-minute Q&A
- • Max 5 minutes explaining problem landscape
- • Focus on specific implementation techniques
- • Actionable takeaways attendees can try immediately
Must Include
- • Mandatory demo (live or recorded)
- • Code examples or architecture details
- • GitHub repo or website for attendees to try
- • Grounded, hype-free approach
Application Process
1
Submit Proposal
Talk outline with demo description
2
Record Preview
5-minute Loom video explaining your talk
3
Get Feedback
We'll review and respond within a week
✅ What We Love
- • Real production systems with users
- • Specific code examples and architecture
- • "Here's what went wrong and how we fixed it"
- • Tools/repos attendees can immediately try
- • Demo failures that teach something valuable
❌ What We Avoid
- • Sales pitches disguised as technical talks
- • Theoretical research without production examples
- • Generic "Introduction to AI" presentations
- • Talks that could be replaced by a blog post
- • Demos of only toy examples or tutorials
Our Quality Bar
We're selective about speakers to maintain high quality. Your talk should be something you'd be proud to present at a major tech conference.
Remember: Our audience wants to leave with 3 new things to try. They're not here for inspiration - they're here for implementation.