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Learning

Working notes from the edge of leadership and delivery.

This section is where ideas, field notes, and operating lessons live, backed by a focused Firestore content layer.

01
AI/LLM5 September 20266 min read

OpenClaw Episode 6: Grok Bot and the Rise of Personal Agent Workspaces

Grok Bot shows how personal agents are moving from chat windows into tool-using workspaces, and why that matters for one-person companies, builders, and managers.

02
AI1 September 20265 min read

Loop Engineering: Real Progress or Token Farming?

Agentic loops are real progress when they have goals, validation, and stopping rules, but they can become token burn when iteration is the default.

03
AI/LLM26 August 20267 min read

What I Learned from the Claude Certified Associate Foundations Training

As AI models become more capable, the basics of prompting, evaluation, production readiness, and human accountability become more important, not less.

04
AI/LLM8 August 20265 min read

OpenClaw Episode 5: I Set Up Local Text-to-Speech on a MacBook Air. Here Is What I Learned.

Getting TTS running locally on a 2015 Intel MacBook Air - the mistakes, the model swaps, and what actually works.

05
Leadership8 August 20264 min read

Are We Solving the Right Problem?

Most teams do not have a building problem. They have a prioritisation problem.

06
SEO5 August 20264 min read

Microsoft Bing IndexNow for Faster SEO Indexing

For years, the standard playbook was simple: submit your sitemap to Google Search Console, wait a few days, and Google would eventually crawl and index your sit

07
AI/LLM4 August 20264 min read

Graph Engineering vs Loop Engineering

Graph engineering is the latest buzzword in AI workflows, but engineers have been building graphs for years. The real skill is knowing when structure helps and when it is just a new name for an old idea.

08
Leadership, AI12 July 20265 min read

Adoption vs AI Governance

AI adoption should start with low-risk, repetitive, and high-value tasks where teams can see real productivity gains. Governance matters, but it should act as a guardrail that grows with usage, not a gate that blocks experimentation before value is proven.

09
AI08 July 20265 min read

AI Evaluation Framework

Why AI solutions need an evaluation framework to measure accuracy, confidence, reasoning quality, and model performance over time.

10
AI6 June 20265 min read

OpenClaw Episode 4: Building the Board

How asking my personal AI assistant to break a personal site mission into smaller tasks turned OpenClaw from a chat experiment into a practical system for orchestrating AI agents, using heartbeat checks, tracking real work, and imagining how the same pattern could apply to team development projects.