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Crater Logs & Telemetry.

Field notes, post-mortems, and technical logs written by a developer working on the surface.

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What logs are stored in the blog archive?

TL;DR: Technical journals detailing UI engineering workflows, Next.js architecture, legacy software migrations, and automation strategies.

AI Engineering9 min read

Unattended Accuracy: Implementing Recursive Agent Fanout and Autoresearch Loops in Oh My Pi

Published: June 14, 2026

A step-by-step guide to setting up recursive agent fanout, parallel greenfield generation, and autonomous autoresearch loops using GPT-5.5 xhigh in the Oh My Pi harness.

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AI Workflows8 min read

Designing Real Email Systems with AI Agents

Published: June 7, 2026

A practical build log from creating MoolaMochi transactional emails with Codex, Paper MCP, hosted assets, and generated artwork that shipped into real artboards instead of placeholder boxes.

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AI Workflows7 min read

Creating Consistent Icons with Codex and GPT

Published: June 7, 2026

A practical field log from rebuilding the MoolaMochi icon system: removing white backgrounds, regenerating damaged assets, and using Codex plus GPT Image Gen 2 to keep every icon in the same visual family.

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AI Workflows6 min read

Beyond 'Make It Clean' (Part 1): The Image-to-Code Workflow for AI Agents

Published: April 27, 2026

AI agents are incredibly powerful, but asking them to invent a premium design from scratch usually leads to average results. Here is why you should separate design from execution, generating high-fidelity UI references first and coding them section-by-section.

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AI Workflows7 min read

Beyond 'Make It Clean' (Part 2): How to Turn an Image into a Website

Published: May 1, 2026

A step-by-step example of the Image-to-Code workflow: generating section comps in ChatGPT, extracting sub-assets, removing backgrounds, and executing layout code with Codex.

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AI Engineering6 min read

The Three Layers of AI Performance: Harness, Model, and Serving

Published: June 8, 2026

Why does the same AI model work like a genius for one developer and fail constantly for another? The answer lies in separating the harness, the model, and the serving infrastructure.

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