[Data Idea]How to Count Tokens?
- Ironic Fizz
- Measure | June 4, 2026
+ Where am I ? +Who do I want to be ? + Why I always failed ? + When to make change ? + What actions should I take ? + Reference [1]Tokenizer.()Open AI. https://platform.openai.com/tokenizer
Read More[Project Deploy]How to Make Structure Prompt in the Prompt Engineering Phase
- Ironic Fizz
- Build | June 2, 2026
+ Where am I ? 3 Phases Interaction with AI --- title : 3 distinct phases of interaction with AI --- flowchart LR prompt[Prompt Engineering] Skill[Context Engineering] Agent[Harness Engineering] prompt-->Skill-->Agent Prompt Engineer: Refining Intentβ (You are here β packaging prompts) Context Engineer: Managing Information Harness Engineer: Controlling Execution Prompt Engineering We are currently in an era where Prompt Engineering (2022β2024) is the foundational skill for working with LLMs. The landscape is clear: the model’s output quality is directly proportional to the clarity, structure, and intent of your input [1].
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