Research & Documents
Work with PDFs, long documents, screenshots, comparisons, source material, structured extraction, and verification.
AI TRAINING · ALBUQUERQUE, NEW MEXICO
Learn practical ways to use ChatGPT, Claude, and modern AI workflows to reduce repetitive work, improve research and analysis, and build systems you can use after class—not just during it.
WHY 10XLEVER
Albuquerque professionals already have several ways to learn what generative AI is. 10XLever focuses on the next step: applying it to your actual work in a small, live environment where there is room to build, troubleshoot, compare approaches, and ask why.
The objective is practical capability—not a credential for its own sake.
WHAT YOU WILL PRACTICE
Work with PDFs, long documents, screenshots, comparisons, source material, structured extraction, and verification.
Turn recurring writing, analysis, planning, communication, and administrative tasks into reusable AI-assisted processes.
Understand where custom assistants, skills, n8n, agents, and APIs make sense—and the data and permission risks that come with them.
WHO IT IS FOR
✓ Small-business owners
✓ Managers and team leads
✓ Analysts and knowledge workers
✓ Startup founders
✓ Technical professionals
✓ People who have tried AI and want a more systematic way to use it
QUESTIONS
10XLever is launching with a small Albuquerque-area live cohort and also offers private team training. Exact venue details are confirmed for each program before attendance.
It is broader. ChatGPT is an important tool, but the training also covers Claude, Gemini, reusable AI workflows, custom assistants, automation concepts, verification, and secure AI habits.
No coding is required for the core Productivity Lab. The course is designed for professionals and business owners, with advanced tools demonstrated where they help explain what is possible.
Yes. Private team sessions can be tailored to the roles, workflows, tools, and security concerns of the organization.
AI TRAINING ALBUQUERQUE
The founding Applied AI Productivity Lab begins in October 2026 with a maximum of 15 participants.