Prompt Kit
Prompt Kit — Find Your Model Fit (3 prompts: agent edition, conversational, quick)
Prompt Kit: Find Your Model Fit
Most model pickers make you pick a task off a chart. This one listens to how you actually work — then names the family of model that fits you, when a second one should take over, and how you'll know within two weeks if it's wrong. Three prompts: an agent edition that reads your real working surfaces instead of taking your word for it, a full conversational interview, and a 30-second quick version for people who won't sit still for one.
How to use this kit
Prompt 3 is the point of this kit. Model Fit takes your word for how you work. Prompt 3 goes and checks — it reads your Slack, your calendar, your revision history, and tells you where your self-report and the evidence disagree. You are the least reliable witness to how you work. If your agent has read access to your real tools, start there.
If it doesn't, start where you can:
- Prompt 1 if you have five minutes and want to talk through how you work. It interviews you, then names your family.
- Prompt 2 if you won't sit for an interview. Paste one paragraph of ramble, get a family back. Same logic, no questions.
- Prompt 3 if your agent is connected to your actual work surfaces — Slack, Linear/Jira/Asana/Notion, Gmail, Calendar, Drive, a repo. It doesn't take your word for anything.
Run any of these in a capable chat model like ChatGPT, Claude, or Gemini. Prompt 3 requires an agent build with read access to your tools.
The two families
All three prompts sort you into one of two families. This is the daily-driver decision — the model you live in.
- The briefer — you know the edges going in; you want a model that takes the whole instruction seriously and obeys corrections literally (5.x-style)
- The finder — the hard part is figuring out what you're even making; you want a model that reads between the lines and finds the angle before it drafts (Mythos/Fable-style)
Who's in each family right now
The prompts deliberately never name a model version. Versions churn; the families don't. But you need somewhere to land, so here's the map as of July 2026:
| Family | Models that currently sit here |
|---|---|
| The briefer (5.x-style) | GPT-5.6 Sol, Terra, Luna |
| The finder (Mythos/Fable-style) | Claude Fable 5, Claude Opus 4.8 |
The scores behind that map are on the model pages, unfiltered, so you can check the work:
- GPT-5.6 Sol: https://unlock-ai.natebjones.com/benchmarks/gpt-5-6-sol
- Fable 5: https://unlock-ai.natebjones.com/benchmarks/fable-5
The rotation — options, not identities
Two families, and then a bench. The models below are things you reach for when the job calls for it. None of them is a daily driver, and none of them is a personality. Sorting yourself into "I am a person who checks sources" is how you end up living in a model you only needed on Tuesday.
- Grok — when access to the source is the whole job, and what people are saying right now is the answer you need.
- Luna — when the hard judgment is finished and you're running a high volume of clear, checkable work. Speed and cost start to matter more than depth.
- GLM 5.2 — the cheap specialist option when the task is narrow and well-defined.
Every prompt in this kit names your second model and the exact situation it takes over. That second model usually comes from the rotation. Use it there, and go back to your family when the work gets hard again.
Prompt 1 — Find Your Model Fit (Conversational)
Job: Interviews you about how you actually work, then names your model family, your backup, and the tell that proves it right or wrong.
When to use: You have five minutes and you're willing to talk through a piece of real work instead of picking a category off a menu.
What you'll get: One family named and justified, a second model with the exact situation it takes over, a two-week falsifiable test, and an honest line on what the interview couldn't see.
What the AI will ask you: First it asks you to ramble about your work — what drains you, what makes you feel sharp, how you give instructions, where projects stall. Then four short follow-ups, one at a time.
Prompt 2 — Find Your Model Fit (Quick)
Job: One paragraph of ramble in, one family out. No interview.
When to use: You won't sit for six questions. You'd rather type for thirty seconds and get an answer.
What you'll get: Your family, the one situation your backup takes over, and the tell — all in under 150 words.
What the AI will ask you: Just to paste one honest paragraph about how you work. If you give it a job title, it will ask for the paragraph.
Prompt 3 — Find Your Model Fit (Agent Edition)
Job: Reads your actual working surfaces, compares what you say about how you work against what the evidence shows, and names your model family from the evidence.
When to use: Only when your agent already has read access to your real tools. You are the least reliable witness to how you work — your Slack, your calendar, and your revision history know better. Point the agent at them.
Requires: an agent with read access to at least two of: Slack, Linear (or Jira, Asana, Notion), Gmail, Calendar, Drive, a repo.
Runtime: most of it is the agent reading. Give it room.
One thing to know going in: your agent almost certainly can't read your actual AI chat history, which is the one surface that would settle this outright. So it works from proxies — how you write to people, how your documents move, where your time goes. Good proxies, but proxies. The prompt is built to tell you which of its findings are direct and which are inferred, and to let you overrule the inferred ones.
What the AI will ask you: Four self-report questions first, then it inventories what it can read and goes looking. It will tell you where your self-report and the evidence disagree.