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AI feels harder when you think you have to write the perfect prompt.

In this video, I break down the Conversation step of the ECHO Framework: why better AI results usually come from better context, better questions, and a more natural back-and-forth with the tool.

This is the shift from trying to become a perfect prompt engineer to learning how to build context through conversation. Whether you’re writing, planning a workflow, building an automation, or thinking through an AI agent, the same principle applies: explain the situation, let AI ask what it needs to know, and invite it to challenge your assumptions.

The goal is not to use AI more. The goal is to use it better, with clearer context, better judgment, and human ownership.

Chapters
0:00 AI is easier than you’re making it
0:45 Why perfect prompts create pressure
1:35 Prompt engineering vs. context engineering
2:30 Why conversation works better than a blank page
3:30 The Conversation step in ECHO
4:20 Treat AI like a capable team member
5:20 Let AI ask better questions
6:10 Ask AI to challenge your assumptions
7:25 Why generic AI output is not enough
8:15 Hone and own the final result
9:00 The simple next step