Train with the best

Accelerate your engineering team's AI capabilities while delivering immediate ROI.

Corporate training is fundamentally broken.

Most programs are passive,
classroom-based, and fail to produce

engineers who can actually deliver
production-grade AI solutions.

The AI-First
Talent Gap

High Cost of Mistakes

When engineers guess with AI tools, things break fast. Vibe coding gone wrong deletes a repo. Every mistake means lost time, lost data, and lost trust.

Slow Ramp

Traditional training is lacking and it can take 6+ months to ramp on AI workflows following legacy how-to guides.

What Is AI-First Engineering?

It's not just using Cursor. It's orchestrating AI across the entire development lifecycle.

Building WITH AI

Using AI-powered development environments and intelligent coding assistants that accelerate the software development lifecycle through automation and contextual reasoning.

| "Delivering features in 2 days vs 2 weeks."

Building FOR AI

Developing sophisticated AI systems including RAG pipelines, AI workflows/agents, multi-agent systems, supervised fine-tuning, MCP servers, and reinforcement learning environments.

| "Automating first-pass contract review with custom agents."

Built To Transform Existing Engineering Teams

We turn proven developers into full-stack AI systems
builders ready to wield AI and deliver at scale.

Mirrored Excellence

  • Identical principles and instructors
  • Same infrastructure
  • Production-grade outputs required

Adapted Format

  • 4-week part-time foundation
  • 2-week full-time on-site intensive
  • 80-100 hours per week during on-site phase

Business Impact

  • Company-defined capstone to drive ROI
  • Engineers return as internal champions

Level up your team
in just 6 weeks

Intensive development with direct mentorship

Level up your team today

logistics

4 weeks remote, part time

2 weeks full time, on-site in Austin, TX

Production ready AI solutions addressing quantifiable business challenges

Life in the Program

Phase 1: Remote Foundation

4 weeks, 8–10 hours per week

Build foundational AI knowledge while continuing regular work responsibilities.

Schedule & Format: +

6 weeks: remote part-time, then full-time in Austin – with daily mentorship, deadlines, and deliverables.

Technical Focus Areas: +

Hands-on deep dives into RAG, agents, fine-tuning, LangGraph, and production-grade AI workflows.

Phase 2: Austin Intensive

2 weeks, 80–100 hours per week

Full immersion building real solutions for your company.

Location & Housing: +

Work and live in downtown Austin with provided private apartments – intense focus, no distractions.

Enterprise Learning: +

Master scalable AI deployment, infrastructure, and observability to drive real business impact.

Austin Daily Structure: +

Structured days blend AI classes, mentorship, and guest speakers with nonstop project work and team meals.

Program Outcomes +

Three tangible AI-enhanced projects for your organization, with full IP ownership retained by your company.

Project Development +

Projects are pre-defined through collaboration between Gauntlet AI and your management team to ensure alignment with company priorities and maximum business impact.

Reporting & Knowledge Transfer +

Three tangible AI-enhanced projects for your organization, with full IP ownership retained by your company.

Benjamin Vanasse

We built real, deployed systems, not local demos. Two flagship products, ready to ship, built entirely through AI-first workflows.

Benjamin Vanasse

Principal Engineer

Joshua Owen

Catalyst doesn't hand you a playbook.
It teaches you how to build your own.

Joshua Owen

VP of AI