
The Calibration Pack is a set of questions you answer once, in your own words, before you start using the Structure Vocabulary meta-prompt. You do not send these answers to us. You paste them directly into your own LLM after the meta-prompt, so that the model has a first picture of:
– your current load
– the language you use about your life
– the patterns you keep returning to
Rough notes are enough. This is not a performance, but a snapshot. You can copy the questions below into a document, answer them in your own time, and then paste the whole answer block into your chat after the meta-prompt.
How to use this Calibration Pack
- Copy all the questions on this page into your own document.
- Answer them honestly in free text. Complete sentences are helpful but not required.
- When you are done, open a new chat with your LLM.
- Paste the Structure Vocabulary meta-prompt as the first message.
- Paste your full Calibration Pack answers as the second message.
- Then continue the conversation as usual.
Calibration questions (copy and answer)
CALIBRATION PACK — STRUCTURE & CURRENT SEASON
Please answer the questions below as honestly as you can.
Short, rough answers are fine. This is for you and your model, not for anyone else.
1. Current season
1.1. If you had to name the “season” you are in right now in one sentence, how would you describe it?
(For example: recovery, transition, overextension, quiet rebuilding, endgame, exploration.)
1.2. What are the three main areas of your life that currently demand your energy?
(Examples: work, health, money, family, creative work, study, bureaucracy.)
1.3. What feels structurally hardest about this season?
(Not how you feel about it, but what makes it hard in terms of time, load, or constraints.)
2. Load and limits
2.1. On an ordinary week, what are the main things you are trying to “hold together”?
(List tasks, roles, responsibilities, ongoing projects.)
2.2. Where do you regularly feel “at capacity” or “over capacity”?
Try to name concrete places: mornings, evenings, certain days, specific roles.
2.3. Are there one or two things you already know are too much, but have not yet been able to release or reduce?
Name them, even if you do not see a way out yet.
3. Language you use about yourself and your time
3.1. Write down three or four sentences that you often say or think about yourself in this season.
(Examples: “I am always behind.” “I should be further by now.” “This is my last chance.” “I can’t drop any balls.”)
3.2. Write down three or four sentences you often use about time.
(Examples: “I don’t have time.” “Time is running out.” “Now is not the right time.” “If I just push through this phase, then…”)
3.3. Which of these sentences feel the heaviest or most rigid? Mark them.
4. Patterns you recognise
4.1. When you look back over the last 3–5 years, are there one or two situations that keep repeating in different forms?
Describe them briefly.
4.2. What do you usually try first when these situations appear?
(Examples: work harder, withdraw, talk to someone, change plans, ignore it.)
4.3. What has almost never worked, even though you keep trying it?
5. Hopes and fears about using an LLM
5.1. What do you secretly wish an AI model could do for you in this season?
Be honest, even if it feels unrealistic or “wrong”.
5.2. What do you fear might happen if you start relying on an LLM more often?
(Examples: becoming dependent, losing your own voice, increasing pressure, leaking private information.)
5.3. What kind of support would feel structurally helpful right now?
Not “fixing everything”, but something that would make the load a little lighter or clearer.
6. Anything else the model should know
6.1. Is there one fact about your situation that changes how all of this should be read?
(For example: a health condition, caregiving responsibilities, a major transition, a hard deadline.)
6.2. If you could give the model one guideline for how to speak to you in this season, what would it be?
(For example: “Be direct.” “Be gentle.” “Do not hype me up.” “Do not analyse my childhood.”)
End of Calibration Pack.