Day 2: Sunday Rest and Research

Finding the factory blueprint

Product: Research & Discovery

Date: February 22, 2026 (Sunday) Focus: Peter Steinberger’s “Shipping at Inference Speed” methodology Status: ✅ Foundation discovered

The Goal

Sometimes the most productive day is one where you don’t build anything at all. Sunday was for research — digging into how others are already doing what I’m trying to do.

The Peter Trail

I’d been hearing about Peter Steinberger ((steipete?)) and his “factory approach” to building with AI. He’s the creator of OpenClaw, but I needed to understand his methodology — not just his tools.

Jarvis helped me track down the key article: “Shipping at Inference Speed”. Reading it was like finding the blueprint I’d been looking for.

The Evolution

Peter’s journey mapped perfectly to where I want to go:

May 2025: Started with “vibe coding” — casual AI assistance
Mid 2025: GPT-5 unlock → serious daily building with AI
Late 2025: “Building like a factory” — systematic approach emerges
Early 2026: Clawdis (his personal AI assistant setup)
Now: OpenClaw (productized version for everyone)

The Factory Philosophy

Peter’s core insight: “Shipping at inference speed”

His rules became my rules: - CLI first: “Whatever you build, start with the model and a CLI first” - Multiple projects: Build 3-8 things simultaneously
- Queue ideas: Let AI models churn through them - Commit to main: No branches, just ship - Cross-pollinate: Reference patterns across projects

The Infrastructure

What caught my attention: Peter didn’t just build products. He built infrastructure that compounds: - Oracle: GPT query system - VibeTunnel: Mobile coding environment
- Domain CLIs: Tools for every aspect of his work - Home automation: AI integrated into daily life

The Lesson

Study the masters, then adapt their methods.

Peter proved that daily AI-assisted building isn’t just possible — it’s how you stay ahead. The competitive advantage comes from infrastructure that compounds daily effort into systematic capability.

His approach will inform everything I build in the 31-day sprint.

Sunday Evening Planning

Spent the evening updating my mental model: - March 1-31: Not just 31 products, but 31 experiments in factory building - Focus: Infrastructure that enables faster building, not just individual tools - Method: Peter’s principles + my own domain knowledge

The plan for tomorrow: Start building the infrastructure.

--- title: "Day 2: Sunday Rest and Research" subtitle: "Finding the factory blueprint" --- ::: {.callout-note} ## Product: Research & Discovery **Date**: February 22, 2026 (Sunday) **Focus**: Peter Steinberger's "Shipping at Inference Speed" methodology **Status**: ✅ Foundation discovered ::: ## The Goal Sometimes the most productive day is one where you don't build anything at all. Sunday was for research — digging into how others are already doing what I'm trying to do. ## The Peter Trail I'd been hearing about Peter Steinberger (@steipete) and his "factory approach" to building with AI. He's the creator of OpenClaw, but I needed to understand his methodology — not just his tools. Jarvis helped me track down the key article: ["Shipping at Inference Speed"](https://steipete.me/posts/2025/shipping-at-inference-speed). Reading it was like finding the blueprint I'd been looking for. ## The Evolution Peter's journey mapped perfectly to where I want to go: **May 2025**: Started with "vibe coding" — casual AI assistance **Mid 2025**: GPT-5 unlock → serious daily building with AI **Late 2025**: "Building like a factory" — systematic approach emerges **Early 2026**: Clawdis (his personal AI assistant setup) **Now**: OpenClaw (productized version for everyone) ## The Factory Philosophy Peter's core insight: **"Shipping at inference speed"** His rules became my rules: - **CLI first**: "Whatever you build, start with the model and a CLI first" - **Multiple projects**: Build 3-8 things simultaneously - **Queue ideas**: Let AI models churn through them - **Commit to main**: No branches, just ship - **Cross-pollinate**: Reference patterns across projects ## The Infrastructure What caught my attention: Peter didn't just build products. He built infrastructure that compounds: - **Oracle**: GPT query system - **VibeTunnel**: Mobile coding environment - **Domain CLIs**: Tools for every aspect of his work - **Home automation**: AI integrated into daily life ## The Lesson **Study the masters, then adapt their methods.** Peter proved that daily AI-assisted building isn't just possible — it's how you stay ahead. The competitive advantage comes from infrastructure that compounds daily effort into systematic capability. His approach will inform everything I build in the 31-day sprint. ## Sunday Evening Planning Spent the evening updating my mental model: - **March 1-31**: Not just 31 products, but 31 experiments in factory building - **Focus**: Infrastructure that enables faster building, not just individual tools - **Method**: Peter's principles + my own domain knowledge The plan for tomorrow: Start building the infrastructure.