The Program

12 weeks. 3 phases. From pilot to production.

12 weeks
Hybrid format: 2 weeks in-person, 10 remote
10-15 companies
Per cohort, 2 batches per year
1 pain point
Every week maps to a specific challenge
Weeks 1-4

Phase 1: Foundation

Lay the groundwork. Choose the right architecture, validate your business model, get compliant, and build reliability from day one.

W1Reliability

Agent Architecture Patterns

Choose your framework (CrewAI, LangGraph, OpenAI SDK) and design patterns (ReAct, Plan-and-Execute). Understand the tradeoffs and pick the right architecture for your use case.

Deliverable
Architecture Decision Document
W2Business Model

Business Model Validation

Market sizing, ideal customer profile definition, and pricing model exploration: per-seat, per-action, or outcome-based. Find the model that aligns incentives with agent performance.

Deliverable
Validated ICP + Pricing Model
W3Legal Risk

Legal & Compliance

Navigate the EU AI Act (August 2026), Colorado AI Act, agent liability frameworks, and data privacy requirements. Build compliance into your product from day one.

Deliverable
Compliance Checklist
W4Reliability

Reliability Engineering

Build evaluation suites, golden datasets, and CI/CD pipelines for agents. Move from vibes-based testing to systematic reliability measurement.

Deliverable
Eval Suite in CI
Weeks 5-8

Phase 2: Build

Ship production-ready agents. Master integrations, optimize costs, build observability, and earn user trust.

W5Integration

Integration Masterclass

Master MCP (Model Context Protocol), A2A (Agent-to-Agent), and real-world connectors for CRM, payment processing, and communication platforms.

Deliverable
3+ Production Integrations
W6Cost

Cost Optimization

Token economics, model routing, caching strategies, and prompt optimization. Turn $13K/month production costs into sustainable unit economics.

Deliverable
Cost Model with Unit Economics
W7Monitoring

Monitoring & Observability

Implement LangSmith, AgentOps, or custom dashboards. Build alerting, trace analysis, and performance monitoring for production agents.

Deliverable
Observability Dashboard
W8Trust

Agent Identity & Trust

Brand your agents, implement trust signals, and align with NIST AI standards. Make users trust your agents enough to hand over real workflows.

Deliverable
Trust Framework
Weeks 9-12

Phase 3: Scale

Go to market, close the scaling gaps, raise funding, and demo live agents to investors.

W9Go-to-Market

Go-to-Market

Distribution strategies, sales motions, and pricing execution for agent businesses. Learn what works when your product is an autonomous agent.

Deliverable
GTM Plan + First Customers
W10Scaling

Pilot to Production

Close the 5 scaling gaps that kill 89% of agent deployments. Build enterprise readiness and move from controlled pilots to full production.

Deliverable
Production Checklist
W11Fundraising

Fundraising

Agent metrics that matter to investors, pitch deck construction, and navigating the AI investor landscape. Know your numbers and tell your story.

Deliverable
Pitch Deck + Data Room
W12Scaling

Demo Day Prep

Prepare live agent demonstrations, not slide decks. Rehearse with real scenarios, set up investor meetings, and get ready to ship.

Deliverable
Demo Day Presentation

Hands-on Workshops

Deep technical sessions on the tools and frameworks that power production agents.

CrewAI Deep Dive

Multi-agent orchestration patterns, role-based agents, and production deployment with CrewAI.

LangGraph Orchestration

State machines for agents, conditional routing, human-in-the-loop patterns, and complex workflows.

Stripe Agentic Payments

Let agents handle payments autonomously. Billing, invoicing, and financial operations via Stripe APIs.

n8n Rapid Prototyping

Visual workflow builder for rapid agent prototyping. Go from idea to working agent in hours, not weeks.

Agent Evals & Testing

Golden datasets, LLM-as-judge, regression testing, and continuous evaluation pipelines for agents.

MCP Protocol Integration

Model Context Protocol deep dive. Connect agents to any data source or tool with standardized interfaces.

Who should apply

Technical Solo Founder

Engineer building agent-first SaaS. You have the technical skills but need business model validation, legal guidance, and go-to-market strategy.

Agency Founder

Running an AI automation agency at $7K-$40K MRR. You have paying clients but need reliability engineering and a path to scale beyond custom implementations.

Domain Expert

Industry veteran in legal, healthcare, or finance building a vertical agent. You know the domain cold but need technical architecture and framework guidance.

AI-Native Team

A 2-3 person team with a working agent MVP. You need production readiness, compliance, cost optimization, and fundraising support to reach the next level.

Applications opening soon

Limited to 10-15 companies per cohort. Join the waitlist to get early access when applications go live.

Join the Waitlist