Build With Tiller

BuildWithTiller

Build your own way to understand your money

Tiller keeps your financial life updated in spreadsheets you own, ready to feed your custom dashboards, money trackers, apps, and AI workflows.

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For Google Sheets and Microsoft Excel: Add a formula or create a chart, dashboard, report, or forecast. Start from a blank sheet or adapt an existing template.

Build with scripts and code: Use Apps Script, Python, and APIs to connect selected information from your Tiller spreadsheet to an automation, app, or dashboard.

Active builder community: Tiller’s community brings together builders of every experience level. AI now helps even more people build solutions with their data.

New: Investments Builder Contest

Tiller Investments Beta brings your holdings into Google Sheets, giving you new ways to track and analyze your investments along with your transactions, balances, and net worth. 

To mark the release, we’re inviting Tiller builders to create dashboards, charts, reports, and visualizations using the new Holdings and Holdings History sheets.

Build a compelling way to understand investment holdings and enter for a chance to win up to $1,000. Learn more ›

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built with tiller

Built by the Tiller Community

See what others have built with Tiller to understand their money, their way.

Buid Penny

WhatsApp Integration. A Tiller spreadsheet connected to WhatsApp, so spouses can chat about money from one source. View ›

“How can I chat with my spouse about our money?” – @alyson1

Build Spending

Spending Planner. Connect daily spending to a financial plan and know what remains for the day and month. View ›

“How can I see what I can safely spend today?” – alexandrawilsonplans

Build

Sinking Fund and Savings Tracker. Track savings goals without losing sight of the account where the money lives. View ›

“How do I track big multi-account goals inside Tiller?” – @Lulu

Built Net Worth

Tiller Runway. What expenses to cut if retirement income drops. A powerful model and demo. View ›

Build Cash Flow

Excel Cash Flow Forecast. Model changes to income, expenses, growth rates. View ›

Built Dashboard Views

Personal Web Frontend. A rich desktop and mobile app powered by a Tiller spreadsheet, built with Claude. View ›

Builder Resources

Builder Resources

Understanding Tiller’s spreadsheet structure.

+ Transactions sheet columns

+ Understanding Balance History

+ Customizing Categories

+ Reviewing balances and customizing accounts

Transactions

Use individual transactions with consistent fields for dates, amounts, accounts, institutions, categories, descriptions, and IDs.

Transactions Sheet Columns

Balance History

Use dated account balances to calculate net worth, track account values, and build historical views.

Understanding the Balance History Sheet

Categories

Define how transactions should be treated in reports, formulas, and analysis.

Transactions Sheet Columns

Categories

Define how transactions should be treated in reports, formulas, and analysis.

Transactions Sheet Columns

AutoCat

Create rules that categorize transactions, change descriptions, add notes or tags, and write values to supported custom columns.
How to Use AutoCat

Custom columns

Add fields for the information your build needs, such as reimbursements, tax treatment, projects, or workflow status.
Editing the Transactions Sheet

Understanding the Balance History Sheet

Holdings and Holdings History

Use current and historical investment positions from supported connected accounts to build investment reports, charts, and tools.

Investments Beta and Builder Contest

Build for Google Sheets

Build formulas, reports, dashboards, and scripts in a Tiller spreadsheet in Google Sheets. Use its data in apps you build beyond the spreadsheet.

Google Sheets Logo 05.2026

Build for Google Sheets

Build formulas, reports, dashboards, and scripts in a Tiller spreadsheet in Google Sheets. Use its data in apps you build beyond the spreadsheet.

Google Sheets Logo 05.2026
Google Sheets Logo 05.2026

Build for Google Sheets

Build formulas, reports, dashboards, and scripts in a Tiller spreadsheet in Google Sheets. Use its data in apps you build beyond the spreadsheet.

Tiller resources

+ Google Sheets demo data

+ Google Sheets Builder’s Guide

+ Google Sheets Community Builds

Google Resources for Google Sheets

+ Google Sheets API

+ Google Apps Script

+Table references named functions.

+ AppSheet

AI and Google Sheets

New: Google’s Sheets canvas uses Gemini to build interactive mini-apps connected to sheet data.

Build for Microsoft Excel

Build formulas, reports, models, and scripts in a Tiller workbook in Microsoft Excel. Use its data in apps you build beyond the workbook.

Tiller resources

+ Microsoft Excel demo data

+ Microsoft Excel Builder’s Guide

+ Excel Community Builds

Microsoft Resources for Excel

+Excel add-ins

+ Python in Excel

+ Excel APIs in Microsoft Graph.

+ Dynamic arrays and LAMBDA.

+ Office Scripts with Power Automate

AI and Microsoft Excel

Agent Mode in Excel

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Build with AI

AI can analyze the categories, rules, and history you’ve built over time, so answers reflect how you understand your money. And you can check any answer against the source.

Start with clean data

Tiller spreadsheets are engineered to track your financial life across all your connected accounts in a clean, consistent format AI can readily read and analyze.

Make sense of your data

Ask AI to analyze transactions, categories, and history in your spreadsheet. Ask questions about your spending and trends.

Build the tools you need

Ask AI to analyze transactions, categories, and history in your spreadsheet. Ask questions about your spending and trends.

Own the source behind how AI understands your financial life.

Switch or test different AI tools without losing your financial context. Your transactions, balances, financial history, and categories stay in a spreadsheet you own.

Claude Tiller 3

Optimized Format

Your financial life in spreadsheet, optimized for AI

A clean financial source owned by you.

Tiller spreadsheets are engineered to track your financial life across all your connected accounts in a clean, consistent format AI can readily read and analyze.

  • One consistent structure for every account. Standard headers give AI predictable fields to filter, group, and compare your financial data across institutions.
  • Unique IDs enable reliable matching. Stable Transaction, Account, and Balance IDs give AI references for account-level queries, and database-style joins.
  • Direct table queries protect context limits. Tiller’s structure lets AI query and retrieve only the exact rows it needs, reducing errors and saving token limits.
  • Your categories tell AI what transactions mean to you. Your category rules tell AI when a transaction is personal, reimbursable, or something else.

  • Dedicated balance history prevents guesswork. AI can pull historical balances from instead of calculating past balances from daily spending rows.
  • Saved edits carry your financial context forward. Splits, notes, category changes, and added columns inform later questions and reports
  • Explicit logic handles financial edge cases. Income, Expense, and Transfer labels tell AI how to process transactions, preventing from being counted as new spending or income.
  • Separate sheets isolate raw activity from reports. Balances and Transactions are separate from budgets and dashboards so AI doesn’t them with source transactions.
  • Spreadsheet math ensures verifiable calculations. Formulas, pivots, queries, and scripts execute directly in the sheet, letting you audit AI answers in place outside the chat.
  • One consistent structure across your accounts. Tiller standardizes transactions from different institutions into consistent fields, so formulas, code, and AI can filter, group, and compare activity without first decoding different bank exports.
  • Stable IDs connect records reliably. Transaction, Account, and Balance IDs give AI exact references for matching records, detecting duplicates, answering account-level questions, and joining related data.
  • Your categories carry your financial logic forward. Tiller categories tell AI how you treat transactions, while AutoCat can apply those rules automatically as new transactions arrive.
  • Explicit transaction types handle financial edge cases. Income, Expense, and Transfer labels help AI distinguish actual spending and income from movements such as credit card payments and account transfers.
  • Balance History provides dated account values. AI can use recorded historical balances instead of trying to reconstruct past balances from transaction activity.
  • Source data stays separate from reports and dashboards. Transactions, Categories, and Balance History have defined roles, so budgets, formulas, dashboards, and other outputs don’t become confused with the underlying financial activity.

built with tiller

What people are building with Tiller and AI

Spending Changes. Compare two periods and find the transactions that explain the difference. View ›

“Why did I spend $400 more on groceries this month?” — @kevandcan

Transaction Review. Find uncategorized purchases, duplicates, unusual spending, changed subscriptions, and transfers recorded incorrectly. ›

“Which transactions need my attention?” — @JJGagliardi

Financial Scenarios. Test a loan payment, savings goal, purchase, or other decision against your actual financial history.

“Could I afford an extra $500 loan payment each month?” — @Blake

Selective AI Sharing. Give AI only the rows, columns, date range, or sample data needed for the task.

Transaction Imports. Convert transactions from another source into Tiller’s structure when a direct account connection isn’t available.

Recurring Reviews. Save or automate checks for subscriptions, categories, spending changes, and other financial tasks you repeat.

Built Net Worth

Custom Interfaces. Build apps, mobile views, chat interfaces, and other tools on top of the financial data in Tiller.

Build Cash Flow

Selective AI Sharing. Give AI only the rows, columns, date range, or sample data needed for the task. View ›

Built Dashboard Views

Custom Reports. Use AI to build the formulas, scripts, dashboards, and reports you want from your Tiller data.

built with tiller

What people are building with Tiller and AI

Spending Changes. Compare two periods and find the transactions that explain the difference. View ›

“Why did I spend $400 more on groceries this month?” — @kevandcan

Transaction Review. Find uncategorized purchases, duplicates, unusual spending, changed subscriptions, and transfers recorded incorrectly. ›

“Which transactions need my attention?” — @JJGagliardi

Financial Scenarios. Test a loan payment, savings goal, purchase, or other decision against your actual financial history.

“Could I afford an extra $500 loan payment each month?” — @Blake

Selective AI Sharing. Give AI only the rows, columns, date range, or sample data needed for the task.

Transaction Imports. Convert transactions from another source into Tiller’s structure when a direct account connection isn’t available.

Recurring Reviews. Save or automate checks for subscriptions, categories, spending changes, and other financial tasks you repeat.

  • One consistent structure across your accounts. Tiller standardizes transactions from different institutions into consistent fields, so formulas, code, and AI can filter, group, and compare activity without first decoding different bank exports.
  • Stable IDs connect records reliably. Transaction, Account, and Balance IDs give AI exact references for matching records, detecting duplicates, answering account-level questions, and joining related data.
  • Your categories carry your financial logic forward. Tiller categories tell AI how you treat transactions, while AutoCat can apply those rules automatically as new transactions arrive.
  • Explicit transaction types handle financial edge cases. Income, Expense, and Transfer labels help AI distinguish actual spending and income from movements such as credit card payments and account transfers.
  • Balance History provides dated account values. AI can use recorded historical balances instead of trying to reconstruct past balances from transaction activity.
  • Source data stays separate from reports and dashboards. Transactions, Categories, and Balance History have defined roles, so budgets, formulas, dashboards, and other outputs don’t become confused with the underlying financial activity.

built with tiller

Recent AI + Tiller Projects

Spending Changes. Compare two periods and find the transactions that explain the difference. View ›

“Why did I spend $400 more on groceries this month?” — @kevandcan

Transaction Review. Find uncategorized purchases, duplicates, unusual spending, changed subscriptions, and transfers recorded incorrectly. ›

“Which transactions need my attention?” — @JJGagliardi

Financial Scenarios. Test a loan payment, savings goal, purchase, or other decision against your actual financial history.

“Could I afford an extra $500 loan payment each month?” — @Blake

Selective AI Sharing. Give AI only the rows, columns, date range, or sample data needed for the task.

Transaction Imports. Convert transactions from another source into Tiller’s structure when a direct account connection isn’t available.

Recurring Reviews. Save or automate checks for subscriptions, categories, spending changes, and other financial tasks you repeat.

Built Net Worth

Custom Interfaces. Build apps, mobile views, chat interfaces, and other tools on top of the financial data in Tiller.

Build Cash Flow

Selective AI Sharing. Give AI only the rows, columns, date range, or sample data needed for the task. View ›

Built Dashboard Views

Custom Reports. Use AI to build the formulas, scripts, dashboards, and reports you want from your Tiller data.

Builder’s Toolkit

Build a report for yourself, automate a workflow, or create something other Tiller customers can use. Tiller gives you structured financial data, documented conventions, sample data, and working examples to build from.

Start here

Tiller’s Builder’s Guides document the core sheets, standard headers, IDs, references, and conventions used across Tiller spreadsheets.

Follow these patterns when you want your build to work across different Tiller spreadsheets instead of depending on one specific file.

Builder’s Guide for Google Sheets
Builder’s Guide for Microsoft Excel

Test and share your build.

Sheet Sanitizer
Create a copy of a Tiller spreadsheet with sensitive financial details obscured so you can troubleshoot, demonstrate, or share your work.
Sheet Sanitizer documentation

Use the tools your build needs.

Google Sheets and Excel
Build reports, models, trackers, and dashboards with formulas, pivots, charts, queries, tables, and native spreadsheet functions.

AI
Write formulas, draft scripts, build queries, analyze financial activity, and prototype tools or interfaces.

Apps Script and Office Scripts
Automate spreadsheet tasks, process data, generate reports, and connect your spreadsheet to other workflows.

Python
Analyze Tiller data, build models, transform data, and create more complex financial tools.

Google Sheets API and Microsoft Graph
Read spreadsheet data into web apps, mobile interfaces, automations, and other software you build.

AppSheet and Power Automate
Turn spreadsheet data into workflows, interfaces, notifications, and lightweight applications with less code.

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7. Custom Interfaces

8. Selective AI Sharing