Writing Instructions an AI Tool Can Follow on Tax Documents
Build an AI instruction for tax-document work from six checkable parts, change it one part at a time with a change log, and version and retire it on purpose.
The TracePrep Team writes the TracePrep blog for CPA, EA, and accounting firms. TracePrep is a tax-prep platform, and it also produces the Reasonable Compensation Study.
Build an AI instruction for tax-document work from six checkable parts, change it one part at a time with a change log, and version and retire it on purpose.
The full path from a client folder to an entry list the Reviewer can trace: what each step passes on, the gate before each hand-off, and what reopens.
How a CPA or EA firm sets ChatGPT's Chat and Work modes per task, what goes in the folder it can modify, and which plans OpenAI's training default covers.
Draft cited rows from copies of a client's K-1 packets with an AI tool, follow every attached statement to its page, then confirm each row by hand.
Draft a what-changed list with an AI tool's pass over copies of last period's final workpaper folder and this period's client folder, then check each row by hand.
Draft the missing-items list with an AI tool's pass over a copy of the client folder, checked against the Firm's expected-documents list, then send the client one plain request.
Five ways an AI tool's first pass goes wrong on tax documents, and a known-answer test folder to run for each before your Firm relies on the tool for a task.
A side-by-side of Claude and ChatGPT for tax-prep work: account terms, the modes each vendor names, folder access, and the guardrails a firm sets for both.
A readback routine for the Reviewer: what to read back first, what to sample, what sends an entry back to the Preparer, and how to record it before sign-off.
Which Claude product fits which part of tax-prep work, what the vendor says each one needs, and the guardrails a firm sets before client data goes near it.
What to ask an AI tool for so every figure arrives with its page and line, the four ways AI citations fail, and how a Reviewer checks them fast.
The Augusta rule under §280A(g), read for S corp clients: the 14-day count, fair-rent evidence, and the minutes, agreement and invoices a Reviewer expects.