Your fastest path to an AI-First Product Development Lifecycle
A corporate training program designed to teach existing teams how to Build with AI and Build AI systems.
Set the foundations, define the problem,
accelerate
and deliver onsite
Select your team
Send the engineers, PMs, and designers who will use AI to develop production software faster than ever before.
Define the capstone
Bring a real project and challenge your team to use AI to get it into production.
Immerse in AI
Four weeks remote and two weeks together in Austin to learn, accelerate, and get your team's capstone into production.
Three paths to upskill
Every engagement leads to the same result: your team ships a production-grade capstone scoped to a real business problem.
Catalyst Engineers
6-week program for a focused team of engineers ready to make AI core to how they ship.
- 4 weeks remote prework + 2 weeks on-site in Austin
- Company-defined capstone with production deliverable
- Executive ROI presentation and scaling roadmap
- Travel, lodging, and food for participants included
- All IP remains owned by your organization
Catalyst Squad
Everything in the Engineering path, with the squad that ships together post-program.
- Everything in Catalyst Engineers, plus:
- Product and design specific curriculum tracks
- Bring the squad together during the onsite phase to collaborate and ship your capstone project
- Develop collaboration best practices that last well beyond your time onsite
Catalyst Custom
Tailored format, flexible location, flexible team size.
- We come to you, anywhere in the world
- Custom curriculum scoped to your tech stack and AI roadmap
- Flexible schedule designed around team availability
ROI that compounds even after the training is completed
Catalyst is built around the deliverable. When teams train together, they leave with a shipped capstone, a shared operating model, and a benchmark the rest of the org can measure against.
Real deliverables
- Work together on a real problem from your team's roadmap.
- Tangible outputs you bring back to your organization.
- Collaboratively scoped, spec'd and signed off before the onsite.
See how it works for your team
We'll scope a capstone around your actual roadmap.
What your teams will master
RAG Pipelines
Complex Graphs & Orchestrators
Agents, Multi-Agent Systems, & Observability
Security, Evals, & Deployment
AI-First Coding & Build Sprint 1
Spec-Driven Dev & Build Sprint 2
Self-preparation
Self-preparation
Observability, Evals, & Agents
User Testing, Experiments, & Iteration
Cowork or Codex Masterclass & Build Sprint 1
Spec-Driven Dev & Build Sprint 2
Self-preparation
Self-preparation
Claude Design Masterclass
Cowork or Codex & UX/UI Skills
Prototyping with AI & Build Sprint 1
Spec-Driven Dev & Build Sprint 2
You bring the problem. We define the spec before onsite.
We do not assign capstones. Your team brings a real problem, and Gauntlet mentors help define the spec over four remote weeks to deliver real outcomes from the Austin onsite.
Set foundations and define the capstone
- →Gauntlet mentors confirm the PRD with your PMs
- →UX flows reviewed and signed off with designers
- →End of Week 4: PRD v1, eval rubric, and interaction designs locked
Onsite logistics, handled
- →Travel, lodging, food, and laundry covered for every participant
- →Build environment ready Day One: no setup tax
- →Spec is build-ready and eval cycles run from the first session
Real AI practitioners. Real feedback.
Gauntlet mentors are paired with each team to support the work.
Practitioner-led guidance
Built on what works in production
Mentors have built production AI systems. They know the failure modes, the deploy gotchas, and the evals that actually matter.
Pattern recognition
They have seen this break before
When an agent loop will not stop or an eval rubric will not calibrate, mentors recognize the pattern and point you at the fix.
Embedded in Austin
On the floor during the intensive
Mentors are hands-on during the Austin weeks for spec reviews, eval calibration, and ROI framing.
What 6 weeks of Catalyst delivers
Medbridge sent four engineers, including their VP of Engineering, to make AI core to how they build. Features stalled across multiple quarters shipped within weeks of returning. One team went from choosing a single feature to deliver to shipping all four in the same cycle.
"We are moving at least 5x faster. The entire way we build product has completely changed."
SmartMoving joined Catalyst to build the foundation of a new AI operations agent. During the two-week onsite, the team delivered what they estimated at over a year of work, a product their CTO calls a cornerstone of the company's next decade. Post-Catalyst, the entire engineering org shifted to agentic-first development.
"We built the piece of our company that'll probably be a cornerstone of the next 10 years in those two weeks."
Go all-in on AI
Redesign how your team builds software. Compress years of incremental adaptation into a defined window.
Talk to Us