Field notes on AI systems,
GTM, and revenue architecture.
Practical breakdowns from systems I build and run. Not theory: architecture, stack choices, and operator lessons from live deployments.
GPT-5.6 vs Claude 5: the first tests say the biggest shift isn't a new benchmark leader
OpenAI shipped GPT-5.6 Sol, Terra and Luna. Anthropic answered with Claude Fable 5 and Sonnet 5. After the first independent benchmarks there is no clean winner, but frontier intelligence just got cheaper and the fight moved from answering questions to finishing work.
22 articles

Claude Fable 5 found a live bug on my site on day one, so I made it compete with Opus and Sonnet

The Claude Code GTM Agent Starter Pack

A GTM agent that runs outbound, enriches CRM, and costs $2 per run

Replatforming a large B2B website without losing the pipeline

The browser bookmark is the wrong primitive

How I use Claude Code in client GTM work

The AI stack I actually run in production

Why CRM-first beats prompt-first in AI adoption

From Framer to Astro: the build vs buy decision behind this site

Cloudflare migration: what you get beyond hosting

Rebuilding my site with Claude Code, Codex, and zero frontend experience

macOS Teleprompter for MacBook Notch: building a native Swift app

What 10+ shipped micro-apps taught me about building with AI

I replaced the Google Ads UI with a dashboard that tells me what to do next

Four layers that make a GTM agent actually work in production

When to build your GTM tool and when to just buy one

Most AI adoption frameworks are built for demos, not for teams

Campaigns plateau. Systems compound. The difference matters.

Your CRM is an expensive address book. Here is how to fix that.

Building a booking engine for a market nobody else wanted

The growth system I built when founder-led sales stopped scaling
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