Research & field notes

Experiments run for real. Reported as they landed.

Autonomous agents, local models, backup systems, migrations — the working notes behind the practice. Successes, failures, and the constraints that decided them, published in full.

Sep 2026The New Hires Never SleepA one-human consulting firm puts four AI agents on the payroll: a 412-second reply, a 401 to itself, a notes API that lies politely - and the three rules that survived the first real week.Jun 2026The G.E.A.R. experiment: 47 hours of autonomous AI agent, what broke, and what I learnedBehind the demos of OpenClaw and Hermes, here is what happens when you actually run an autonomous AI agent for 47 hours without stopping.Mar 2026CRM migration with local coding agents: why the M5 Max MacBook Pro mattersField note on using local coding agents for CRM migration and sensitive database workflows, and why the M5 Max MacBook Pro memory profile matters.Mar 2026How to run OpenCode with LM Studio locally (Qwen3.5 on a 6-year-old MacBook M1)Step-by-step field note for running OpenCode with LM Studio locally using Qwen3.5 9B and 0.8B, including Telegram bot workflow, local config, and M1 performance tradeoffs.Feb 2026How to think about backups: gzip.cloud design choices and rationalesDay-zero design notes for a plain, reliable backup service: universal SFTP storage, immutable backups, reminder-based ops, and restore certainty.Feb 2026Ensuring resilience from day one : Building gzip.cloudThe minimal remote backup service I want to run for gzip.cloud, designed for reliability, low ops, and client-side encryption.

The archives

Earlier technical resources, essays, and tutorials — the layer this practice is built on.

Browse the archives

45 minutes. No deck. No pitch.

Get the weekly insights — free Who is behind this