Before you dive in
What you’ll find in the original
- Assign open-ended text to an LLM, bounded picks and scores to Jev, and exact limits or side effects to deterministic code.
- Rebuild available actions after every step, ask independent questions together, and send evidence rather than a vague status summary.
- A confident done prediction is not proof of completion: verify the external result in code and benchmark cost and accuracy per finished task.
Worth knowing
The article synthesizes TypeSafe documentation and public builds. Its starting threshold in the Python example is explicitly illustrative, and the 200×/400× figures are founder claims rather than expected results for every workload.