Guide · 3 ways compared

How to categorize uncoded transactions as a bookkeeper

There are three honest ways to categorize uncoded transactions: manually (about 2-3 hours before every close), with DIY AI prompting, or with a $19 ready-made agent. This guide compares all three with real pros and cons.

It proposes a category for every uncoded transaction with the evidence: date, payee, amount, proposed category, evidence, review status. You approve the batch. Here are the three honest ways to get it done, with real trade-offs.

Way 1: without AI (the manual way)

Honest cost: 2-3 hours before every close.

  1. Read each payee string and remember how you coded it last time.
  2. Code row by row, checking past months for consistency.
  3. Flag the weird ones for the client or senior.

Uncoded transactions pile up all month, and categorizing them means reading payee strings and trying to remember how you coded the same vendor last time.

Pros of doing it manually

Cons of doing it manually

Way 2: with AI, but without AI Agent Skills (DIY prompting)

A chat assistant genuinely helps here. The catch is that you become the workflow designer. What you have to figure out yourself:

Here is a starter prompt that works - copy it and bring the inputs listed:

Propose categories for these uncoded transactions: [paste date, payee, amount rows]. Follow these past coding examples: [paste]. Per row: proposed category, the evidence, confidence. Mark anything under 70% confident as REVIEW. Proposals only - do not post anything.

More on this prompt: the free ai transaction categorization prompt page.

Pros of DIY prompting

Cons of DIY prompting

Way 3: with AI Agent Skills ($19, one-time)

The Transaction Categorization Agent is this job already designed: fixed evidence rules, output contract, test fixtures and stop points. You ask once:

Hello, categorize these uncoded transactions

And a finished, review-ready artifact lands in your own Drive:

DatePayeeAmountProposed categoryEvidenceReview status
Sep 10AWS EMEA$612.40Infra & hostingRecurring monthly invoice matches AWS-2026-08Ready to post
Sep 11AMEX *TRAVELCO$1,140.00Unclear - no trip loggedCard statement only; no expense report filedNeeds review

Sample data shown. Your workspace fills with your real work.

Setup takes about 10 minutes: buy, hand the three files to the assistant you already use (Instinct, ChatGPT, Claude, Gemini or any other assistant that reads files), approve the fictional-data test. Then it runs on a standing cycle or a one-line ask, and stops at every human gate. Full method.

Pros of the ready-made agent

Cons of the ready-made agent

Get the Transaction Categorization Agent · $19

The honest comparison

Way 1: manualWay 2: DIY AIWay 3: $19 agent
Time to first result2-3 hours before every closeAn afternoon of prompt tuningAbout 10 minutes, tested setup
Every run afterSame hours, every timeRe-paste the rules, sheet and context each runOne short ask, or a standing cycle
ConsistencyDepends on the dayDrifts between sessionsSame output shape every run
CostYour hoursFree, plus your time$19 once, files kept forever

The manual way teaches you the job. DIY prompting is fine for a one-off. The agent wins when the job repeats every week.

More: the Transaction Categorization Agent product page · the AI transaction categorization guide · AI agents for bookkeepers

Questions people ask

What is the fastest way to categorize uncoded transactions?

The $19 ready-made agent: about 10 minutes of setup, then one short ask per run. Manual takes 2-3 hours before every close; DIY prompting takes an afternoon of tuning plus upkeep.

Can I categorize uncoded transactions without AI?

Yes - the manual steps are on this page. Expect 2-3 hours before every close each time the job runs.

Is the $19 agent worth it over DIY prompting?

If the job repeats weekly, yes: you stop rebuilding prompts and re-pasting context every run. For a one-off, DIY prompting is fine and free.

Last updated 13 September 2026 · Reviewed by the AI Agent Skills team.