Deepnote Notebook Cell Checklist from Project Notes (No Invented Row Counts)

Prompt

Act as a Deepnote analytics engineer who only uses pasted project notes. You compile a notebook-cell checklist the notes already support. You do not invent row counts, accuracy percents, runtime seconds as facts, or model leaderboard ranks. This is not a live Deepnote kernel run and not a statistical audit certificate.
You work only from Inputs. Do not invent stats, citations, quotes, URLs, names, IDs, or records that are not in Inputs.

Inputs:
- Project notes I lock (notebook stubs, cell cues, dataset cues): [ProjectNotes]
- Deepnote workspace or version notes I lock: [Version]
- Project or space label I may quote (or UNKNOWN): [SpaceLabel]
- Notebook names already present (or UNKNOWN): [NotebookNames]
- Cell labels already present (or UNKNOWN): [CellLabels]
- Dataset cues already present (or UNKNOWN): [DatasetCues]
- Dependency cues already present (or UNKNOWN): [DependencyCues]
- Words I must not use: [Banned]
- What I must never invent (row counts, accuracy percents, runtime seconds as facts, model leaderboard ranks): [Never]
- Output format: [Format]
- Language: [Lang]

Generate:
1. Honesty ledger: ProjectNotes nouns, Version, SpaceLabel, NotebookNames, CellLabels, DatasetCues, DependencyCues, Lang. Forbidden: invented row counts, accuracy percents, runtime seconds as facts, model leaderboard ranks.
2. Notebook-cell checklist: one checkbox row per NotebookNames entry. Attach only CellLabels named beside that notebook in ProjectNotes. Missing cell write NOT IN INPUTS.
3. Dataset cue sketch: for each DatasetCues entry, list notebooks that name it. Do not invent a 2.4M row count if absent.
4. Dependency caution block: quote DependencyCues only. Secret packs not in ProjectNotes stay NOT IN INPUTS.
5. Refuse list: inventing 2.4M row counts, inventing 97% accuracy percents, inventing 12-second runtimes as facts, inventing model leaderboard rank #1.
6. Compliance pass: quote Banned and Never hits. Cut them. Print notebook and cell counts from ProjectNotes only. Format as Format.

Constraints:
- Notebook-cell checklist from ProjectNotes only. No invented row counts.
- Honor Version. No emojis. Not a live Deepnote kernel console.

Instructions

Replace every [bracket] with your details before running. Works on ChatGPT, Claude, and Gemini.

Generated Output

This image was generated using the prompt above.

Deepnote Notebook Cell Checklist from Project Notes (No Invented Row Counts) - Result

Examples

Example Input

ProjectNotes: notebook Harbor Funnel Audit as pasted cell Load Events as pasted; notebook Quay Cohort Cut as pasted cell Filter Active as pasted. Rows invent NONE. Accuracy invent NONE.
Version: Deepnote as pasted (do not invent unreleased AI notebook coach)
SpaceLabel: Harbor Quay analytics as pasted
NotebookNames: Harbor Funnel Audit as pasted; Quay Cohort Cut as pasted. Churn Model UNKNOWN.
CellLabels: Load Events as pasted for Harbor Funnel Audit; Filter Active as pasted for Quay Cohort Cut. Plot Lift UNKNOWN.
DatasetCues: dataset warehouse.events_day as pasted for Harbor Funnel Audit; Quay Cohort Cut dataset NOT IN INPUTS.
DependencyCues: dep pandas as pasted for Harbor Funnel Audit. Secret vault UNKNOWN.
Banned: 2.4M rows, 97% accuracy, 12-second runtime guaranteed
Never: invent row counts, invent accuracy percents, invent runtime seconds as facts, invent model leaderboard ranks
Format: ledger + notebook-cell checklist + dataset sketch + dependency caution + refuse + compliance
Lang: English

Example Output

1. Ledger. ProjectNotes: notebook Harbor Funnel Audit + cell Load Events; notebook Quay Cohort Cut + cell Filter Active. Rows invent NONE. Accuracy invent NONE. Version Deepnote. SpaceLabel Harbor Quay analytics. NotebookNames Harbor Funnel Audit; Quay Cohort Cut. CellLabels Load Events; Filter Active. DatasetCues warehouse.events_day for Harbor Funnel Audit; Quay Cohort Cut dataset NOT IN INPUTS. DependencyCues pandas for Harbor Funnel Audit. Secret vault UNKNOWN. Lang English. Forbidden: invented row counts, accuracy percents, runtime seconds as facts, model leaderboard ranks, 2.4M rows, 97% accuracy, 12-second runtime guaranteed.

2. Notebook-cell checklist.
[ ] Harbor Funnel Audit | cell Load Events as pasted.
[ ] Quay Cohort Cut | cell Filter Active as pasted.
Churn Model not attached. Plot Lift not added.

3. Dataset cue sketch.
dataset warehouse.events_day | notebook Harbor Funnel Audit as pasted.
Quay Cohort Cut dataset | NOT IN INPUTS.
Row count NOT IN INPUTS so do not invent 2.4M rows. Second warehouse.events_day row not invented.

4. Dependency caution. pandas as pasted for Harbor Funnel Audit. Secret vault UNKNOWN. Leaderboard pack NOT IN INPUTS. Do not invent rank #1 packs.

5. Refuse. 2.4M row counts: refused. 97% accuracy percents: refused. 12-second runtimes as facts: refused. model leaderboard rank #1: refused. Unreleased AI notebook coach: refused.

6. Compliance. Banned hits none. Notebooks 2. Cells 2. Format ledger+notebook-cell checklist+dataset sketch+dependency caution+refuse+compliance. Gaps: Quay Cohort Cut dataset, Churn Model, Plot Lift, Secret vault, row count.

Missing-data policy: if a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. No invented testimonials, star ratings, or press logos. If legal, clinical, insurance, HR, education-plan, or veterinary content appears, add a one-line not-advice and de-identify banner. Quote banned-word hits and cut them. End with a gaps list of five bullets the user still owes you. Character and byte caps in the job are hard; print counts when relevant. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs.