Free trainings, hands-on workshops, and structured programs from an operator running 6 ventures across 3 industries. Everything taught here is built, deployed, and battle-tested — not theoretical.
Choose your path. Every pathway leads to free content, then progressively deeper programs as you need them.
Architecture decisions, founder operating systems, and the patterns behind scaling from one product to six.
Start HereProduction-grade AI workflows, prompt architecture, and orchestration patterns from systems processing 10K+ operations.
Start HereArchitecture audits, technical debt remediation, and the diagnostic frameworks we use on premium engagements.
Start HereGovernance layers, delegation frameworks, and weekly rhythms that prevent the founder from becoming the bottleneck.
Start HereEach training teaches a complete concept with a companion download you can use immediately. Not teasers — standalone education from active operations.
Every startup that dies from technical debt made the same three mistakes — and they made them in the first 60 days. We have built and operated systems across AgriTech, FinTech, and SaaS. We have seen monolith-to-microservices migrations that cost $200K because someone split too early. We have watched auth architecture choices lock teams into vendors for years. This training walks through the three decisions — monolith timing, database commitment, and auth ownership — with real examples from our ventures, including the ones we got wrong.
Two hours to a full day. You bring your system, we work through it together. Every participant leaves with something deployable — not slides.
These are not courses you purchase — they are engagements you apply for. Small cohorts, individual attention, and outcomes that justify the investment.
The same tools and systems we use across our ventures — documented, packaged, and ready to deploy in yours.
Production-tested architecture templates: database schemas, API designs, CI/CD pipelines, monitoring dashboards. Copy, customize, deploy.
Complete playbook for running a venture studio. Covers deal flow, portfolio management, operator deployment, and exit planning. Built from running HW88.
Step-by-step framework for identifying, designing, and deploying AI automation in your business. Includes ROI calculator and implementation checklist.
From 5-person team to 50: operational playbook for scaling without breaking. Covers hiring, process design, tool selection, and culture preservation.
PD-SML, PhD, MBA, CSM
Founder & Chief Builder — HavenWizards 88 Ventures OPC
“I believe execution is the only strategy that survives contact with reality. Everything else is presentation.”
Every program builds on the one before it. Begin with a free training, move to a workshop, and advance to structured programs when the stakes justify focused investment.
Two hours. One system. Real decisions made before you leave. Most architecture fails not from bad technology but from indecision — teams defer choices until the codebase forces their hand. In this sprint, you bring your actual system (or your next build), and we work through the five architecture decisions that determine whether it scales or collapses. Every participant leaves with a documented decision record they can deploy against.
You will build a working AI automation during this session. Not a demo. Not a flowchart. A system that runs. We start with the orchestration patterns we deploy across our own ventures — document processing, lead qualification, content pipelines — and you implement one end-to-end with live guidance. The lab runs hybrid: attend live or follow the recording with async review of your build.
This is the operating playbook we use to run six ventures with a five-person core team. In eight hours, you will build your own Founder OS — the decision frameworks, delegation systems, weekly rhythms, and governance layers that prevent the founder from becoming the bottleneck. We cover the same operating architecture that took us from one venture burning out a founder to six ventures running in parallel. Hybrid format: live session with 90 days of async follow-up.
This is not a course you purchase. It is an engagement you apply for. Over five intensive days, you will design a production-grade system architecture alongside a builder who has deployed 60+ applications across three industries. You arrive with your venture's requirements. You leave with deployable blueprints — database schema, API contracts, auth architecture, deployment strategy — reviewed, pressure-tested, and documented. We accept eight builders per cohort because architecture review demands focused attention. If your system is still in the idea stage, this is not the right fit. If you have a real build ahead of you and the architecture decisions feel overwhelming, this is where those decisions get made.
Six weeks. One production-grade AI system. Built by you, guided by an operator who runs AI workflows across six active ventures. This course moves from prompt architecture to production deployment — not as theory, but as a build sequence. Each week, you ship a working component: ingestion pipeline, processing layer, error handling, monitoring, and orchestration logic. By week six, you have a deployed system handling real operations. We review every participant's architecture individually. Applications required because we need to verify your system has a genuine use case — we do not teach AI for the sake of AI.
Six technical founders. One quarter. No pitch decks, no networking theater. Each month, one founder puts their venture on the table — architecture, financials, operations, the decisions keeping them up at night. The group dissects it with the same rigor we apply to our own ventures. You get access to an operator running six concurrent ventures, and five peers who are building at the same level. Code reviews happen. Financial models get stress-tested. Accountability is structural, not aspirational. Admission is by application and interview because fit matters more than credentials.
This is a diagnostic engagement, not a product. We examine your system architecture the way a surgeon examines before operating — methodically, without assumptions, and with a commitment to telling you what we find, not what you want to hear. Over two to three weeks, we assess database architecture, API design, auth and security posture, scaling ceilings, technical debt load, and operational risk. You receive a remediation plan with prioritized actions, estimated effort, and clear sequencing. We take two to three audit engagements per quarter because thoroughness requires focus. If your system is under pressure and you need clarity on what to fix first, this is the engagement.
Most AI tutorials teach you to call an API and display a response. That works in a demo. It breaks on the first day of real traffic — bad input, runaway costs, wrong classifications sent to the wrong people. This training is different. We run AI workflows in production across six ventures: document processing, content pipelines, lead qualification, price monitoring. In this step-by-step walkthrough, you build the same lead qualification pipeline we use to process partner inquiries — a 4-stage system with schema validation, single-purpose AI classification, confidence-based routing, and cost controls. Under $2/month for 40 daily inquiries. Every pattern comes from production. Every dollar figure is real. Every mistake we warn you about is one we made first.
FREE12:58People ask us this constantly: how does a five-person core team operate six active ventures across AgriTech, FinTech, sports media, pet care, and education? The answer is not hustle — it is systems. This training breaks down the exact 3-layer operating architecture: the Founder Capacity Model for time allocation, automation-first operations that replace 3-4 full-time roles, and a decision delegation framework where 80% of daily decisions are pre-decided by policy. With real examples from Bayanihan Harvest (60+ modules), TradeFrame (event-driven architecture), and the full venture portfolio.
Before we commit capital, time, or reputation to a venture or partnership, it runs through the same due diligence framework. No exceptions. This training reveals the seven-gate evaluation we use — from market structure analysis to founder-operator assessment to technical architecture review. We share which gates kill the most deals and why we treat diligence as a system, not a checklist. Built from evaluating dozens of opportunities and learning the hard way which signals actually matter.
When a partner asks us to audit their system architecture, the first 90 minutes determine 80% of our findings. This training walks through our opening sequence — the six areas we examine before we open any code. Database schema patterns that reveal organizational dysfunction. API designs that expose scaling ceilings. Auth architectures that create security time bombs. We share the actual audit framework used on systems ranging from early-stage MVPs to platforms processing millions in transactions.
We scaled a US startup 6,150% in revenue. We also reversed an Australian agency from losses to profitability. These are not the same playbook. That is the point. Most scaling content assumes a universal formula — hire more people, raise more capital, move faster. We have seen that advice destroy three ventures we evaluated in the last year alone. This training covers the three scaling patterns that actually survive contact with reality, the leading indicators that tell you which pattern your business needs, and the operational changes that make scaling durable instead of fragile.