LLMpalooza: Fall in Love with Stacking LLMs (Global)
LLMpalooza 2026: Fall in Love with Stacking LLMs
A practitioner-led guide to combining LLMs and tools to get better results than any single model can deliver.
Event Details
Host: GeoCyber Systems LLC | The SaaSy Lady
Date: Thursday, March 19, 2026
Time: 6:00 AM – 11:00 AM ET (5 hours)
Location: Virtual Event (YouTube Live)
Cost: Free
About This Event
LLMs are powerful, persuasive, and increasingly central to real work, and the differences between them matter.
LLMpalooza 2026 is not about declaring a “best” model or calling out failures. It’s about understanding the distinct strengths, limitations, and failure modes of today’s major large language models, and learning how hands-on professionals use them together in real workflows.
Some can read URLs, connect to your email and cloud, accept multiple PDFs and screenshots, and create images, while others can't. Some are great for brainstorming and drafting, while others are better for creating shippable final documents. All of them overuse the em-dash (—) as punctuation.
In practice, the best results rarely come from a single LLM. They come from moving work between models, validating outputs, and choosing the right tool for each stage of thinking, research, drafting, and execution. That approach, the round-robin method, is the core organizing principle of this event.
If you already use one or more LLMs and want to level up how you use them in real work, this event is for you. It’s designed for tech professionals and serious learners who want to optimize workflows, not just try a demo.
Each session stands alone. Join the sessions that work for your schedule. Catch the rest on replay.
Who Should Attend
This is not a first-time “what is AI?” event. It’s built for people already using LLMs who want to optimize how they work.
Daily LLM users refining real workflows
Professionals using more than one LLM and deciding when to switch
Teams evaluating AI platforms for adoption or standardization
Security, risk, and governance leaders assessing AI exposure
Product, data, and engineering leaders responsible for AI decisions
Students and professionals building durable, transferable AI skills
You do not need to attend the full five hours. Each 45-minute session is self-contained.
What You’ll Learn
By attending LLMpalooza 2026, you will:
Understand the practical strengths and limitations of major LLMs in 2026
Recognize where hallucinations, overconfidence, and subtle drift from sources tend to appear
Learn how experienced users validate, cross-check, and stress-test outputs
Develop strategies for switching models mid-workflow for better results
See how surrounding tools shape how LLMs are actually used day-to-day
Understand how to design workflows that play to each model’s strengths instead of forcing a single-tool fit
Leave with a repeatable round-robin framework you can apply immediately
Agenda
🟠 Opening Plenary — 30 Minutes
Falling in Love with LLMs Without Losing Judgment
6:00 AM ET | 3:00 AM PT | 11:00 AM GMT | 12:00 PM CET | 4:30 PM IST
Welcome and orientation
Why this event exists and how it’s different
The state of LLMs in early 2026
Introducing the round-robin method
How to think about strengths, limits, and validation
How the day is structured and how to participate
🔵 Session 1 — 45 Minutes
ChatGPT: The Charismatic Generalist
A practical look at how ChatGPT behaves in real workflows and where experienced users apply guardrails.
6:30 AM ET | 3:30 AM PT | 11:30 AM GMT | 12:30 PM CET | 5:00 PM IST
Where ChatGPT excels
Where inconsistency and hallucinations appear
Custom GPTs and plugin realities
API versus web workflows
When ChatGPT works best in a round-robin flow
Practitioner lessons and Q&A
🟢 Session 2 — 45 Minutes
Claude: The Structured Reasoner
Long-form thinking, document synthesis, and when “thoughtful” becomes too much.
7:15 AM ET | 4:15 AM PT | 12:15 PM GMT | 1:15 PM CET | 5:45 PM IST
Long-form analysis and document synthesis
Artifact-based workflows
Managing verbosity and instruction discipline
Cost and context-window considerations
Where Claude fits best in multi-LLM workflows
Practitioner lessons and Q&A
🟡 Session 3 — 45 Minutes
Perplexity: Research With Sources
Fast research, citations, and the importance of verification.
8:00 AM ET | 5:00 AM PT | 1:00 PM GMT | 2:00 PM CET | 6:30 PM IST
Real-time research and citation behavior
OSINT and investigative use cases
Verification strategies
Where synthesis can drift from sources
When Perplexity outperforms other models
Practitioner lessons and Q&A
🟠 Session 4 — 45 Minutes
Gemini: Multimodal Workflows in Practice
Understanding Google’s AI ecosystem and how it fits into real work.
8:45 AM ET | 5:45 AM PT | 1:45 PM GMT | 2:45 PM CET | 7:15 PM IST
Navigating the Gemini ecosystem
Multimodal use cases
Google Workspace integration
Privacy and data considerations
Where Gemini fits in a round-robin approach
Practitioner lessons and Q&A
🟣 Session 5 — 45 Minutes
Copilot: One Name, Many Tools
Clarity on the Copilot landscape and what’s actually worth using.
9:30 AM ET | 6:30 AM PT | 2:30 PM GMT | 3:30 PM CET | 8:00 PM IST
The Copilot family explained clearly
GitHub Copilot, Microsoft 365 Copilot, Security Copilot, and more
What each version does well
Licensing and cost realities
Enterprise strengths and limits
Practitioner lessons and Q&A
🔴 Session 6 — 45 Minutes
The Round-Robin in Action: Tools That Complete the Workflow
How experienced practitioners actually move work across models and tools.
10:15 AM ET | 7:15 AM PT | 3:15 PM GMT | 4:15 PM CET | 8:45 PM IST
A practical walkthrough of tools that shape how LLMs are actually used, including:
Grok
NotebookLM
Adobe Firefly
Canva AI editing tools
Notion AI
Opus Clips
Other emerging productivity and research tools
This session ties everything together:
How practitioners move work between tools and models
Where validation happens
How to reduce hallucination risk
How to design workflows that play to strengths instead of forcing fit
Final Note
LLMpalooza is about judgment, not hype.
Loving LLMs doesn’t mean trusting one model blindly. It means knowing when to switch, when to validate, and how to combine tools to get better results than any single system can deliver.
This event is designed to help you build that maturity.
—