How To Build Real Software With AI Agents
A practical Operator Class workflow for going from idea to operating docs, spec, agent execution, QA, deployment, and first launch.
7 minReviewed May 25, 2026
Read the guideOperator Field Manual
Not a reverse-chronology blog. This is the public manual for Spec-to-System workflows, agent operating docs, QA, deployment, Operator Craft, AI work, and tool briefings.
A practical Operator Class workflow for going from idea to operating docs, spec, agent execution, QA, deployment, and first launch.
7 minReviewed May 25, 2026
Read the guideManual browser
The default route stays curated. Browse by operator problem or entry format when you already know what kind of answer you need.
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8 entries · Curated
Flagship above, next entries below.
A practical AGENTS.md structure for keeping Codex, Claude Code, Cursor, and other coding agents aligned across real software projects.
6 minReviewed May 25, 2026
A sharp Operator Class essay on why one-prompt demos collapse, and what operators do differently before they trust AI-built software.
5 minReviewed May 25, 2026
A practical Field Manual guide for turning AI job anxiety into a concrete task audit, skill plan, and operator-grade proof of work.
9 minReviewed May 26, 2026
A sharp Operator Class essay on why AI job risk is uneven, why task exposure matters more than job-title panic, and what the new operator advantage looks like.
7 minReviewed May 26, 2026
A practical checklist for scoring which parts of your work are exposed to AI, which parts are durable, and which operator moves to make next.
8 minReviewed May 26, 2026
An operator-grade Claude Code workflow: operating docs, scoped specs, planned execution, reviewed diffs, real QA, and careful deploy — not a feature tour.
8 minReviewed May 31, 2026
How full-stack operators run OpenAI Codex across terminal, IDE, and cloud tasks: scope with operating docs, delegate in parallel, and review every diff before trusting it.
8 minReviewed May 31, 2026
An honest operator comparison of Cursor, Claude Code, and Codex for building real software — a decision frame based on how you work, not a winner crowned for everyone.
8 minReviewed May 31, 2026
How the manual is organized
Every entry gets two labels: a category for what the piece covers, and a format for what kind of thinking or artifact the reader is getting.
From commercial idea to deployed first slice, with agents inside a real operating loop.
Claude Code, Codex, Cursor, and other agent tools translated into operator-grade workflows.
AGENTS.md, CLAUDE.md, specs, design briefs, and the docs that keep agents aligned.
The Operator Class method: turn judgment into specs, specs into systems, systems into proof.
How to inspect, test, deploy, and recover AI-built work without fake certainty.
Dashboards, funnels, portals, internal tools, automations, and knowledge-work systems.
Taste, judgment, anti-vibe-coding essays, and the worldview behind serious AI operation.
AI job replacement, career adaptation, and why the Full-Stack Operator skill stack matters.
AI and agent-tool changes translated into what operators should do differently.
Operating standards, team playbooks, workflow audits, and agent adoption for companies.
Categories tell searchers and answer engines what a piece is about. Formats tell readers how to use it: guide, template, essay, briefing, field note, teardown, playbook, or proof.
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