Posts

Every cost-reduction experiment I wanted to run — prompt optimization, cheaper model routing, stripped-down prompt variants — was uncalibrated because nothing measured per-run token spend. The fix was a measurement layer, and the load-bearing decision turned out to be the schema, not the capture point.

I wanted the Pipeline tab to chew through a chain of planned issues instead of making me click them one by one. The tempting answer was parallel sessions, but the March 23 state lessons made serial mode the right thing to ship first.

I asked an AI deliberation whether to build a Discord bot to replace my 3-minute poll cycle. The deliberation crashed three different ways — and that failure was more useful than the answer would have been.

A deliberation session silently failed because the health check was hitting the wrong endpoint. Fixing that one bug turned into a five-part architecture overhaul covering provider dispatch, transcript persistence, and orchestrator handoff.

How I built a multi-provider dispatch router that sends different AI personas to different LLM providers and the $57 billing surprise that proved it was worth it.

How I built a system where three AI providers debate feature decisions before any code is written, and why the disagreements produce better designs than any single model.

How I directed a circuit breaker feature across llm-router and AutoAgent using an AI development pipeline, and what the automated review caught before it hit production.

EcoOrchestra governs every step. Ralph ships every loop. Both work. The question is which failure mode you fear more.

Ghostpen turns development artifacts into blog posts written in my voice -- because the best time to write about a problem is when you just solved it.

An AI agent that learns to play games by watching VODs -- extracting knowledge with vision APIs, compiling behavior scripts, and executing them with computer vision.

A multi-provider LLM routing library that handles rate limits, batching, and failover -- so consuming applications never touch provider-specific APIs.

How I built an AI development pipeline that runs a team of personas -- planner, developer, reviewer, QA engineer -- and enforces quality gates across multiple repos.

A walkthrough of importing blob storage containers as a part of upgrading Sitecore to a newer version.

A walkthrough of installing Sitecore version 10.4, and some issues you may run into along the way.

Setting up a Local Sitecore XM Cloud Environment on a Windows 11 Hyper-V VM.

Troubleshooting issues with SearchStax deployment backups failing with a disaster recovery environment.

Troubleshooting the BlobProviderException: No supported provider for '' is configured error, and a brief investigation into the Blob template field.