Fork your conversations and rebase your prompts
The article discusses the importance of effectively encoding intent when using AI agents. It highlights that prompts are often a lossy representation of user intent, which can lead to misunderstandings and poor outputs. To improve communication with AI, users should seek feedback on their prompts and be aware of the limitations of context in conversations.
- ▪Effective communication with AI requires clear and precise prompts.
- ▪Prompts often fail to fully capture user intent, leading to poor outputs.
- ▪Asking for feedback from the AI can help identify gaps in understanding.
Opening excerpt (first ~120 words) tap to expand
2026-05-24 Fork your conversations and rebase your prompts One of the skillsets that the AI phenomenon has quietly boosted is the capability of explaining yourself: putting into words what you actually want, and providing methodologies that can unambiguously verify the implementation against your expectations. Turns out that if you can’t describe your intent in a way that survives a stranger reading it cold, the agent can’t either. The good news is that this skill compounds. The bad news is that most of us discover we suck at it the first time we type a prompt and the agent produces something that sounds aligned with your intent, but is fragile and full of disliked side effects.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Federico Magnani’s blog.
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