Notes from systems I build, test, and operate.

A practical guide to x402 and agent paywalls: how HTTP 402 works, when it beats API-key gating, and where fixed, usage-based, and batched payments fit.

A practical method for finding personalized technology newsletters, comparing AI briefs, writer-led publications, readers, and direct alerts.

Understand the mandate, responsibilities, limits, working rhythm, and hiring signals for a hands-on fractional CTO.

A practical framework for comparing fractional CTO hourly, daily, project and monthly-retainer proposals without relying on invented averages.

A practical checklist for finding one workflow worth automating by mapping volume, friction, judgment, data, risk and human review.

Compare an AI automation consultant, agency, internal hire and software vendor by ownership, capacity, risk, cost and handover.

A repeatable test for checking whether ChatGPT and other AI assistants mention, recommend, or cite your business for real buyer questions.

Learn what Peec AI measures, how to set up useful prompts and competitors, read visibility and source data, and turn the results into practical work.

A sourced field guide to SEO, Answer Engine Optimization, GEO, LLMO, Agentic Engine Optimization, Agent Search Optimization, llms.txt, MCP, RAG, and AI visibility.

A practical guide to Agentic Engine Optimization: structuring technical documentation so AI coding agents can retrieve, understand, and use the intended source.

I explain how to test a technical writer’s research, source handling, judgment, review process, and ability to understand the product.

I explain how technical teams can turn verifiable evidence into a useful source, responsible outreach, and honest measurement.

A practical build-versus-buy AI framework based on workflow fit, data, control, operating cost, risk, and long-term ownership.