Notes
Writing on AI operations, enterprise architecture, and what it actually takes to deploy artificial intelligence inside a real organization.
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April 7, 2026
The Control Problem: Managing 4 Brands with AI Agents
When you run multiple product lines with a small team, the bottleneck isn't talent or budget. It's coordination. Here's how I'm building a system where the agents do the status tracking and humans just talk.
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March 28, 2026
The Business Brain: How Specialized AI Agents Mimic Neural Systems
A fleet of specialized AI agents, each monitoring a business domain, all feeding a shared database. That's not a tech stack. That's a nervous system.
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March 15, 2026
Building Instead of Buying: Two Internal Tools We Built With AI Coding Agents
We didn't set out to disrupt SaaS. We had operational problems and coding tools. Here are two internal projects we built that probably would have been SaaS subscriptions two years ago.
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March 28, 2026
The Operating Rhythm Problem: How We Built a Weekly System That Runs Itself
Every operating framework fails at small companies for the same reason: the maintenance burden falls on one person who's already underwater. Here's how we built our own operating rhythm with AI handling the upkeep — and why email reply beats a dashboard login.
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March 1, 2026
The Operations Bot Design Framework
Most automation fails not because the technology is wrong but because the design is wrong. Eight principles for building bots that actually run reliably in production.
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February 27, 2026
The Outbound Machine: Building a B2B Pipeline That Gets Smarter Every Week
Custom landing sites, a swarm of specialized agents, marketing psychology at scale, and a feedback loop that updates its own angle weights from real reply data. Here is the full architecture.
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February 21, 2026
We Stopped Building Product Pages. We Built a Factory Instead.
Generic product pages don't convert niche buyers. So we built a monorepo that produces persona-specific landing pages from a single template — with full-funnel tracking, multiple checkout paths, and 3-day turnaround. Here's the architecture, and we're open-sourcing the template.
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February 19, 2026
Every Company Needs a Chief AI Officer. Most Don't Know What That Means.
AI projects fail at the organizational layer, not the technology layer. No one owns it. CTO treats it as IT. CMO uses it for copy. CEO watches demos. Meanwhile competitors are operationalizing it. Here is what building an AI system actually requires — and what the person who does it well looks like.
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February 28, 2026
The Lattice: How Multi-Agent Systems Compound Intelligence
Most AI deployments are single-agent. What I'm building is different — a network of specialized agents that share memory, produce signals for each other, and compound in value the longer they run.
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February 8, 2026
Designing Systems That Learn: Fleet Bots and Self-Recycling Memory
How I deployed three specialized bot fleets with memory systems that get smarter over time. It's not about what AI can do today — it's about designing systems that generate their own intelligence.
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February 7, 2026
Building a Fleet of AI Agents for Enterprise Operations
How I deployed 5 specialized AI agents across a public company's operations using OpenClaw. Division-based architecture, human-in-the-loop design, and why specialists beat generalists.
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January 26, 2026
Day One with Clawdbot
I spent a full day tinkering with a system that runs on my server. Not an app. Not a dashboard. A terminal. AI doesn't replace presence. It creates the conditions for it.
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February 7, 2026
Building a Fleet of AI Agents for Enterprise Operations
How I deployed 5 specialized AI agents across a public company's operations using OpenClaw. Division-based architecture, human-in-the-loop design, and why specialists beat generalists.
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January 26, 2026
The Terminal is the New Interface
GUIs are going extinct. Raw thoughts in, action out. A partner that understands you.
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January 2026
Building an AI Operating System for a Public Company
How I built 10 specialized AI agents to run operations across 6 departments, automating everything from Monday morning briefings to board report compilation. Architecture, code patterns, and real results.