Blackwood

Mastery  ·  Discipline  ·  Legacy

30-Day Online Course  ·  AI Systems Platform

Build AI Agents, Automate Workflows, and Create Your Personal AI Operating System.

Learn how to leverage AI tools, autonomous agents, and automation systems to increase productivity, streamline operations, and stay ahead in an AI-first world.

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30Days of content
5Core modules
60+Exercises
∞Lifetime access
AIOS Command Center
Active Agents
3 / 8
Tasks Today
124
Automation Rate
89%
Avg Response
1.2s
Sales Pipeline AgentRunning
Research AgentActive
Operations AgentActive
Finance AgentStandby
CRM AgentStandby
Trusted by professionals including
Founders Operators Freelancers Consultants Agency Owners Product Managers
What You Will Build

Four systems.
One unified AI operating layer.

Blackwood teaches you to design and deploy the four core components of a modern AI Operating System — from individual autonomous agents to a fully integrated intelligence platform running your business.

🤖

AI Agents

Deploy autonomous digital workers that execute complex tasks, make intelligent decisions, and complete multi-step goals — without constant supervision or manual input from your team.

  • Multi-step task execution and autonomous goal completion
  • Tool calling, API access, and external integrations
  • Memory retention and long-term contextual awareness
  • ReAct reasoning, decision loops, and error recovery
⚡

AI Workflows

Design intelligent automation pipelines that handle complex, multi-step business processes across departments — with conditional logic, branching, error handling, and real-time monitoring.

  • n8n and LangGraph visual workflow automation
  • Conditional branching, loops, and error recovery
  • Cross-platform data synchronisation
  • Event-driven trigger processing and scheduling
🔗

Automation Systems

Connect your tools, data, and processes into a unified intelligent system that operates continuously — eliminating manual handoffs, reducing errors, and scaling your output without scaling headcount.

  • CRM, email, calendar, and document automation
  • Data extraction, transformation, and routing
  • Real-time dashboards and automated reporting
  • GoHighLevel and Airtable integration patterns
🧠

AI Operating Systems

Build a unified intelligence layer that coordinates your agents, manages organisational knowledge, orchestrates workflows, and runs your entire business operation autonomously and at scale.

  • Multi-agent orchestration across departments
  • Shared knowledge base and semantic memory
  • Business intelligence and performance tracking
  • Production-grade deployment and monitoring
The Curriculum

30 days. 5 modules.
One complete AI OS.

Every day builds on the last. Every module ends with a milestone deliverable you can bring to your business immediately.

Module 1 · Days 1–5

The Problem

Understand why traditional business operations hit a structural ceiling — and why no amount of hiring or software can break through it. Build the diagnostic framework to identify where an AI OS creates the highest return.

  • The linear scaling trap and the five structural failures
  • Human cognitive limits vs AI capabilities
  • Why traditional software cannot reason or adapt
  • Defining the AI OS and its four core pillars
  • Agents, Memory, Events, and Orchestration: deep dive
🏁 MilestoneOperational audit complete — top 5 automation candidates identified
Module 2 · Days 6–11

AI Agents

Go deep on the architecture of a single AI agent. Learn precisely how agents differ from chatbots, how memory transforms a stateless tool into an intelligent worker, and why single-agent systems fail at scale.

  • The OODA loop and the chatbot vs. agent distinction
  • The four memory layers: working, semantic, episodic, procedural
  • Agent tools and the Model Context Protocol (MCP)
  • ReAct, Tree of Thought, and LangGraph reasoning
  • Execution reliability and graceful degradation
🏁 MilestoneAgent design document complete for your two priority automation candidates
Module 3 · Days 12–17

Architectures

Master the five multi-agent design patterns used in every production AI OS. Learn when each is the right choice and how they combine into a coherent, scalable operational intelligence.

  • Orchestrator-Worker: parallel execution and goal decomposition
  • Hierarchical: tiered capability and cost-optimised routing
  • Shared Knowledge (Blackboard): asynchronous coordination
  • Market-Based: dynamic task allocation and load balancing
  • Event-Driven Architecture: decoupled, resilient communication
🏁 MilestoneAIOS architecture diagram complete with pattern selection justified
Module 4 · Days 18–24

Building AIOS

Translate architecture into a real, functioning system. Design and specify a complete AI Operating System — from the lead generation agent that fills your funnel to the finance agent that processes what flows through it.

  • AIOS system architecture: full-stack design and component mapping
  • Lead generation and sales agent design
  • CRM and customer support agent design
  • Project management, finance, and operations agents
  • Lead-to-deal workflow: end-to-end automation across agents
🏁 MilestoneComplete AIOS specification document ready for implementation
Module 5 · Days 25–30

Blueprint

Build the implementation roadmap that takes your AIOS from specification to live production. Select your tech stack, plan the 90-day build timeline, define team structure and KPIs, and finalise your plan.

  • AI stack selection: model routing, infrastructure, tool decisions
  • Days 1–30 Foundation Phase: what to build first and why
  • Days 31–60 Scale Phase: core system to full agent fleet
  • Days 61–90 Optimisation Phase: performance, cost, quality
  • Team structure, KPIs, and the Demo Day deliverable
🏁 Final ProjectApproved 90-day AIOS implementation roadmap — ready to execute
Builder Plan Module 6 · Day 31

Developer Tools

Available exclusively to Builder and Pipeline Pro students. Set up Visual Studio Code as your development environment and learn to use Claude as your AI pair programmer — the most productive coding setup available.

  • VS Code: setup, features, and AIOS-optimised extensions
  • Claude as your development collaborator: write, debug, review
  • The 6-step development loop: write → run → debug → iterate
  • Security: managing API keys and .env files from day one
🏁 SetupVS Code configured and first Claude API call running from your machine
The Blackwood Framework

The four pillars of every
AI Operating System.

Every production AIOS is built on four foundational components. Blackwood teaches you to design, build, and connect all four — from first principles to full deployment.

01 · Agents 🤖

Agents

Autonomous AI workers that execute tasks, call tools, and complete goals using the OODA reasoning loop — the core execution unit of every AIOS. Each agent is scoped, specialised, and independently deployable.

02 · Memory 💾

Memory

The knowledge infrastructure that gives agents context, history, and institutional knowledge. Working memory for active tasks, semantic retrieval for long-term facts, episodic recall for past interactions.

03 · Events ⚡

Events

The trigger layer connecting your business operations to your AI system — detecting signals from emails, calendars, CRMs, and APIs, initiating workflows, and keeping agents responsive to real-world state changes.

04 · Orchestration 🎛️

Orchestration

The coordination layer that routes work across agents, manages priorities, resolves conflicts, and ensures your entire AI fleet operates as a coherent, reliable system rather than a collection of disconnected tools.

Templates & Resources

Everything you need
to build immediately.

Builder and Pipeline Pro plans include 18 done-for-you templates, starter workflows, and implementation guides — so you skip the blank-page problem and start shipping from day one.

📋
Agent Spec Template
Design · 18 templates
🗂️
Event Schema Template
Architecture
📄
SOP Template Pack
Process · Ready to use
🔄
n8n Workflow Starters
Automation · Plug and play
🌐
LangGraph Starter Kit
Development
✅
Implementation Checklists
Planning · Per module
💬
System Prompt Library
Prompting · Battle-tested
🏗️
Architecture Diagram Pack
Design · Editable
18 templates included with Builder & Pipeline Pro plans · Instant access after purchase
Community Access

Build alongside other
serious operators.

Blackwood students are professionals, founders, and operators — not hobbyists. The community is where implementations get reviewed, questions get answered, and breakthroughs get shared.

  • 💬

    Private Builder Community

    A curated space for Blackwood students — ask questions, share progress, and connect with professionals building similar systems in your industry.

  • 🔄

    Weekly Implementation Threads

    Weekly facilitated discussions focused on real implementations, not theory — see exactly how other students are applying each module to their businesses.

  • 📋

    Case Studies & Peer Reviews

    Published implementation case studies from the community — real workflows, real businesses, real results you can study, adapt, and deploy.

⬡ Blackwood Builders 247 members
SM
Sarah M.
Founder, ops agency
Pipeline Pro
JK
James K.
Freelance consultant
Builder
RL
Rachel L.
Head of Operations
Builder
DT
David T.
Agency owner
Pipeline Pro
AP
Alex P.
Product manager
Builder
Pricing

Three tiers.
One clear path to your AIOS.

One-time payment. Lifetime access. No subscriptions, no renewals — own your education permanently.

Foundation
$99 one-time

The complete 30-lesson curriculum for the professional who wants to learn and build at their own pace.

  • All 30 lessons across 5 modules
  • The Problem → Agents → Architectures → Building AIOS → Blueprint
  • Core downloadable templates
  • Lifetime access + all future updates
  • Self-paced — no deadlines
Buy Now — $99
Most Popular
Builder
$220 one-time

Everything you need to actually build and ship your AIOS — not just understand it.

  • Everything in Foundation
  • All 18 done-for-you templates (agent specs, event schemas, SOPs)
  • Starter workflows for n8n + LangGraph
  • Visual Studio Code dev tools with Claude integration
  • Access to Day 31 Dev Tools (Builder plan only)
  • Implementation checklists for every module
Buy Now — $220
Coming Soon
Pipeline Pro
To Be Announced

Done-with-you. We build your revenue-generating agent pipeline alongside you. Launching soon.

  • Everything in Builder
  • Complete sales pipeline: Lead Gen → Sales → CRM → Finance (pre-configured)
  • 1:1 implementation calls (3–4 sessions)
  • Custom GoHighLevel + Airtable setup for your business
  • Direct deployment & debugging support
  • Priority support in community
  • Optional: 30-day post-launch support window
Coming Soon

All prices in USD · Secure checkout via Payhip · Instant access after purchase
Questions? info@blackwood.works

FAQ

Questions before you enrol.

Blackwood is built for professionals, founders, freelancers, and operators who want to build real AI systems for their businesses — not for hobbyists or people looking for a quick overview. Many students have no technical background whatsoever. The curriculum starts from first principles and is designed for intelligent adults who can commit 1–2 hours per day.

No. The curriculum begins from absolute zero — Day 3 walks you through setting up your development environment and making your first API call step by step, with verification checkpoints and troubleshooting guides for the most common errors. If you can follow written instructions and copy text into a terminal, you can complete this course.

YouTube tutorials show isolated tricks. Blackwood builds a complete, interconnected system where every day's work depends on and extends the previous day's. You get structured assessments, Common Pitfalls sections written from real mistakes, milestone deliverables you can actually use in your business, and a final implementation blueprint. None of that exists in scattered free content.

You have lifetime access — work at whatever pace fits your schedule. The "30 days" is the recommended cadence for someone committing 1–2 hours daily. Many students take 45–60 days and produce significantly stronger deliverables. The curriculum is structured so you can pause and resume without losing context.

A laptop running Windows 10/11, macOS 12+, or any modern Linux distribution. Python 3.11+ (free) and VS Code (free) are the only software requirements. You will also need a Claude API key — budget approximately $10–25 in API credits for the full 30-day curriculum. The course dedicates a full module section to cost management so you never overspend.

Yes — all enrolled students receive updates automatically at no extra cost. The core architectural concepts (agent design, memory systems, orchestration patterns, multi-agent coordination) are model-agnostic and will remain relevant as Claude and competing models evolve. Code examples are updated whenever the SDK introduces breaking changes.

Enrol Today

Your AI Operating
System starts here.

The professionals building with AI right now started exactly where you are. The only difference is they started. Pick a tier, enrol today, and build something that changes how your business operates.

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Lifetime access · Instant start · No subscriptions