#meeting expectations

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woven prawn
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Hi! how do you come around the fact that sometimes chatgpt tells you he can deliver something when in fact after a long discussion he tells you it is not something he can do?

woeful sundialBOT
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Hi @woven prawn. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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Great question. What you’re running into is a known limitation of AI assistants: they can sometimes sound confident about capabilities they don’t actually have, and only “admit” limits later. This happens because models generate likely-sounding continuations from patterns in data, and confidence doesn’t always equal correctness or feasibility.

Here are practical ways to reduce this and set better expectations:

  • Ask for constraints up front.

    • Example: “Before we start, can you confirm whether you can actually do X directly, or only help me plan/outline it?” This helps surface limits early, since models can hallucinate capabilities (e.g., accessing paywalled sites, running code locally, or performing actions outside the chat). [ChatGPT can be helpful; ChatGPT doesn't know everything]
  • Request a step-by-step plan before investing time.

    • Ask for a brief plan with explicit assumptions and required tools (e.g., “web search,” “file uploads,” “data analysis”). This often exposes gaps early (like needing a tool that’s rate-limited on your plan). [Practical tips; GPTs Free tier limits]
  • Use reliability techniques for complex tasks.

    • Prompt it to “think step by step,” split the task into smaller subtasks, and ask it to justify choices before committing. These patterns improve accuracy on complex reasoning tasks. [Techniques to improve reliability]
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  • Verify early outputs.

    • Treat initial drafts as a first pass, not final. Verify quotes, data, links, and technical claims before proceeding down a long path. [Practical tips]
  • Clarify model/tool limitations.

  • Watch for signs of hallucinations.

    • Fabricated citations, overly confident answers to ambiguous questions, or precise but unverifiable details are red flags—pause and ask for sources or a simpler, verifiable reformulation. [ChatGPT can be helpful]
  • Give feedback and course-correct.

    • If the answer drifts or overpromises, explicitly say: “Please restate what you can and cannot do in this chat, and adjust the plan accordingly.” Also use the thumbs-down to report unrelated or incorrect answers. [Unrelated answers]

If you want, I can help you craft a “kickoff” prompt you can reuse that forces capability checks and a constraints-first plan before diving in.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: