AI Delegation Starts with Inspectable Work
A small compiler startup has leveraged AI tools like Claude Code and Codex to enhance productivity despite limited resources. The founder shares insights on how to effectively delegate tasks to AI by breaking down work and assessing which tasks are suitable for automation. The article serves as a guide for other small teams exploring the integration of AI into their workflows.
- ▪The startup consists of only two people and is pre-revenue.
- ▪The founder created a detailed log of tasks to identify which could be delegated to AI.
- ▪Three key questions help determine if a task is suitable for AI execution.
Opening excerpt (first ~120 words) tap to expand
I run a tiny compiler startup: two people, pre-revenue. Like most companies at this stage, we are always short on staff, money, and time. When Claude Code and Codex became good enough to use every day, they changed our trajectory. They let us do a lot more with much less. Making it work was seriously painful, though. We had to rebuild the work itself: break it into smaller tasks, define what could be checked, and decide what was safe to delegate. This post explains the delegation system we use.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Deviant/Abstraction.
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