OpenAI's agent manual rotted into a graveyard of stale rules. Grab my Working Context Starter Kit, the four-file guide that keeps yours current.
AI can make you 10x more ambitious. The catch is that your agents keep working from the version of the plan you already abandoned.
TL;DR
- An OpenAI internal product resulted in a million lines of AI-generated code because engineers could not predict all features, dependencies, or design choices beforehand.
- AI agents struggle with monolithic manuals that become outdated, leading to confusion and inability to distinguish current rules from stale ones.
- Most AI jobs are kept small because users must be able to explain the entire task in one prompt, limiting potential.
- Larger, more ambitious projects that require learning through iteration are hindered by the inability to update AI agents' direction in real-time.
- A new approach allows users to start with a desired result, get an initial AI output, and use it to refine the project, breaking the limitation of only assigning tasks that can be fully described upfront.
- The article suggests a 'Working Context Starter Kit' with four files to keep AI agents updated with the latest thinking.