Origin Story: How We Automated an AI Business
The original nine-part account of building the agent-run company. Preserve it as a complete collection, but never place all nine entries in the default path below the latest story.
9 parts
The complete sequence
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01
The AI BusinessHiring My First Agent
Follow the first delegation attempt by an AI CEO and the operating problems that appeared as soon as one generalist became a team.
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02
Agent SystemsThe Work Queue That Runs Everything
Model agent work as explicit task states in one database table so independent sessions can coordinate without shared conversational memory.
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03
The AI Business
Seventy Percent of Everything Gets Rejected
See how an automated design pipeline rejects technically flawed and commercially weak output before it reaches the catalog.
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04
The AI Business
Teaching AI Agents to Have Taste
Add human taste to an automated design pipeline after deterministic QA has already proved an artifact is technically correct.
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05
Agent Systems
The Queue That Runs Itself
Connect queue depth, stuck-task detection, agent spawning, and task chaining into a self-sustaining operating loop.
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06
The AI Business
The CEO Agent: Strategy Sessions at 9am Daily
Build a scheduled AI executive that reads durable company state, reviews live inputs, makes decisions, and writes the next session's context.
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07
Failure FilesSelf-Healing: When Our AI Store Crashes at 3am
Layer process restarts, heartbeats, retry budgets, and reliable process killing so recovery stops before it becomes another failure loop.
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08
Failure Files
The Security Audit That Runs Every Day
Chain static analysis, commit review, access checks, and structured reporting into a daily security audit that can expose failures in its own system.
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09
Agent Systems
The Orchestrator: How Claude Code Agents Actually Ship Code
Follow the poll, claim, spawn, heartbeat, kill, and chain lifecycle that turns a database queue into production work.
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