Non-technical founders Flagship · Limited seats
AI Agent Operating System
Turn AI from a chatbot into your most capable operator.
For non-technical founders who want to build a practical AI operating system around their company. Learn to give agents the right context, tools, and repeatable skills—then deploy workflows your team can actually trust.
Curriculum and outcomes
Curriculum
- From chat to agents: goal-to-result work, agent loops, clear outcomes, and human approval
- Onboard your AI operator: business context, company assets, project rules, and useful memory
- Connect the tool stack: MCP, browser automation, permissions, security, and vendor portability
- Turn company processes into skills: reusable SOPs, orchestration, verification, and failure recovery
- Architect your founder OS: global versus project context, workspace design, and daily workflows
- Scale across the company: team adoption, governance, measurement, and your capstone workflow
You'll ship
- A working founder AI operating system
- One tested agent workflow
- A team adoption playbook
Product Limited seats
AI PM Accelerator
Ship AI products that actually work.
For product managers who want to move past prompting and lead real AI products: writing specs, defining repeatable quality checks, making model calls, and shipping.
Curriculum and outcomes
Curriculum
- The AI PM mental model: language models, agents, repeatable quality checks, and what’s actually different
- Scoping AI features: PRDs, success metrics, build-vs-buy, and model selection
- Working with AI teams: prompting, red-teaming, and running AI sprints
- Quality and production: defining “good enough,” feedback loops, and monitoring
- Capstone: ship your AI feature and present a 90-day AI roadmap
You'll ship
- A shipped AI prototype
- An eval framework for it
- A 90-day AI roadmap
Engineering Limited seats
Agentic Engineering
Build production AI agents from scratch.
A hands-on bootcamp for developers going beyond prompts into tool use, memory, retrieval, multi-agent systems, and real integrations. Ship three working agents.
Curriculum and outcomes
Curriculum
- Agent fundamentals: tool use, planning loops, and context management
- Memory, state, and retrieval-augmented generation (RAG): when each pattern helps
- Multi-agent systems: orchestrator and subagent patterns, handoffs, and routing
- Tool integration and Model Context Protocol (MCP): connecting agents to APIs, data, and systems
- Production: quality checks, observability, error handling, and safe deployment
You'll ship
- A single agent with memory + tools
- A multi-agent pipeline
- An MCP-integrated, deployed agent
Growth Limited seats
AI-Powered GTM
Marketing and growth systems that scale.
For marketers and GTM operators who want AI as infrastructure, not novelty: content pipelines, lead-research agents, and personalization you can actually run.
Curriculum and outcomes
Curriculum
- AI GTM foundations: where AI fits the funnel and how to audit your stack
- Content at scale: pipelines for blog, social, and email; brand voice; AEO and GEO
- AI agents for growth: lead research, competitive intelligence, and outreach
- Personalization and measurement: segmentation, dynamic content, and attribution
You'll ship
- A live AI content pipeline
- A lead-intelligence agent
- An AI-augmented GTM playbook
Design Limited seats
Designing AI
UX for products that think.
For designers mastering AI-native experiences: uncertainty and error states, multi-turn flows, trust architecture, and agentic UX. Leave with a portfolio case study.
Curriculum and outcomes
Curriculum
- The AI design paradigm: uncertainty, latency, and probabilistic output
- Conversation and interaction design: multi-turn flows, chat, and multimodal input
- Trust, transparency, and control: explainability, confidence, and human review
- Agentic UX: delegation, status, interruption, guardrails, and handoffs
- Capstone: an end-to-end AI product case study, reviewed by peers
You'll ship
- An AI interaction pattern library
- A trust & transparency framework
- A portfolio-ready case study