ThinkWithPrompt by SynotticThinkWithPrompt

Draft month-end accrual and prepaid journal entries with support

Turns invoices, contracts, and usage details into proposed accrual, prepaid, and reversal entries with the calculation behind each one.

Finance & AccountingFew-ShotStandardFinanceWriteFill-in TemplateStep-by-step

The prompt

Help me draft month-end accrual and prepaid adjusting entries. Period closing: [MONTH and fiscal year] Accounting framework: [US GAAP / IFRS / other] Items to consider: [PASTE - e.g. "utility bill for March not received yet, last 3 months avg $4,200", "annual insurance $24,000 paid Jan 1", "consultant worked 60 hrs at $150, not yet invoiced"] Relevant account names/numbers: [PASTE chart of accounts extract] Materiality threshold: [e.g. "we don't accrue items under $1,000"] Do we auto-reverse accruals next month? [yes / no] For each item: 1. Decide whether it is an accrual, a prepaid amortization, a deferral, or no entry needed (and why). 2. Show the calculation step by step, with the basis (actual, contract rate, run-rate estimate). 3. Propose the entry: date, debit account, credit account, amount, memo line. 4. Note whether it should auto-reverse and when. 5. Name the supporting document a reviewer would expect to see. Rules: - Never invent amounts. If an input is missing, mark it [NEED AMOUNT] or [CONFIRM ESTIMATE BASIS]. - Flag estimates that differ by more than 10% from the prior-month pattern I gave you. - Flag anything that might be capital rather than an expense. Return a table (Item | Type | Calculation | Dr | Cr | Amount | Reverse? | Support), then a short list of open questions for the preparer or budget owner.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • MONTH and fiscal year
  • US GAAP / IFRS / other
  • PASTE chart of accounts extract
  • e.g. "we don't accrue items under $1,000"
  • yes / no
  • NEED AMOUNT
  • CONFIRM ESTIMATE BASIS

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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