{
  "id": 12763018,
  "title": "Getting Real Work Out of Two Kimi K2 Conversations: A Prompt Template for Code and Data Tasks",
  "url": "https://urgent.news/2026/10/08/getting-real-work-out-of-two-kimi-k2-conversations-a-prompt-template",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-08T02:16:22.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/leony/getting-real-work-out-of-two-kimi-k2-conversations-a-prompt-template-for-code-and-data-tasks-p90"
  },
  "original_language": "en",
  "account": "The author, Leony, an indie maker who runs a small web chat for Kimi models, shares a prompt template for efficiently obtaining completed results from LLMs like Kimi in as few turns as possible.\n\nMost wasted LLM sessions follow a pattern of vague initial messages, generic answers, and multiple rounds of clarification. Each round costs time and credits. By front-loading decisions, the model can often get it right in one or two passes.\n\nThe author structures every serious request into four blocks: Objective, Verified context, Constraints, and Output schema. The template also includes a line at the end asking the model to list its assumptions and any edge cases it's unsure about. This single instruction catches most misunderstandings in the first reply instead of the fourth.\n\nThe template has been successfully used to generate shell commands, visualize CSV data to create a web page, and compare documents. The key to its success is telling the model the column names to avoid schema hallucination, asking for a summary before the code to sanity-check the data reading, and specifying the output schema for easy verification.\n\nLeony suggests using the second turn for a review pass, checking the previous answer against the given context and listing anything uncertain. This turns the second turn into a self-check instead of a do-over.\n\nThe author also provides some habits that save time, such as pasting the error instead of describing it, pinning versions, and asking for one artifact per message. To test the template, readers can use the Kimi Chat workspace, which offers two free conversations after a Google sign-in.",
  "summary": "I'm leony, an indie maker. I run kimi-k2.net , a small independent web chat for Kimi models (it calls the Moonshot AI API under the hood, but it isn't affiliated with Moonshot AI). New accounts get two free conversations . That limit forced me to think hard about one question: how do you get a finished result out of an LLM in as few turns as possible? The answer turned out to be useful well…",
  "key_points": [
    "Prompt template structures requests into Objective, Verified context, Constraints, and Output schema",
    "Includes request for assumptions and edge cases to catch misunderstandings early",
    "Successfully used for generating shell commands, visualizing data, and comparing documents"
  ],
  "editors_take": "This prompt template for Kimi conversations streamlines interactions with large language models, enabling users to obtain accurate results in fewer turns, and reducing time and credit waste.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}