Everything below is running right now — a tool you can press, a demo you can click, or a repository you can read. No mockups, no "coming soon". If a number appears on this page, it is one that was measured, and the card says how.
Each one runs entirely in your browser. There is no server to send your file to — open the network tab and watch: after the page loads, zero requests. That is architecture, not a privacy policy.
One drop zone for any business export. It works out what the file is from its columns — invoices, roster, customer list, job log — runs every check that applies, and reconciles two files against each other if you drop a pair.
On its sample pair it returns 8 findings with zero configuration, including 3 completed jobs that were never invoiced. Ends with a downloadable report you can forward.
Drop any CSV and get an honest report: columns that carry no information, status fields that never vary, mixed date formats, duplicate rows. Then download the file with the judgment-free problems already fixed.
On its sample: 6 findings down to 2 after the automatic fix — and the two that remain are exactly the ones a script must not touch.
Two exports every business already has — the work log and the invoices — lined up so only the mismatches show: finished jobs nobody billed, invoices sitting unpaid past 60 days.
Matches on exact ID only, and says so on the report. Nothing fuzzy, nothing guessed.
Acme Roofing. Acme Roofing LLC. acme roofing inc. Three rows, one customer — inflating your count, splitting revenue history, and sending the mail merge three times.
Every group states why it grouped: identical after ignoring case, punctuation and legal suffixes, or a near-miss typo worth a human glance.
For anyone who runs on a roster — senior living, clinics, restaurants, facilities. Finds days a role is uncovered, staff crossing 40 hours, roles only one person can fill, and turnarounds too short to be safe.
Reads the columns itself and shows which ones it used. Deliberately never proposes who should work when — that is the manager's call, not a CSV's.
A real, self-updating Google Sheets dashboard on sample data — revenue, jobs, overdue invoices. Click the tabs, tap the chart. No login, no signup.
This is the $650 Automated Dashboard, running — not a screenshot of one.
The flagship retainer: every Monday an AI reads your live numbers, writes a plain-English summary, and drafts chase emails for money you're owed.
Every draft waits for a human approval before anything sends. That gate is the product.
A live commission dashboard for a staffing desk that settles splits, draws and fall-off clawbacks by rule instead of by argument.
Built for a vertical where the math is the whole disagreement.
Executive KPI dashboard, expense tracker, and a staffing commission tracker — working Google Sheets templates, no cost, no email required.
Take them and never speak to us. That is the point.
An open-source reliability tool that finds signals carrying no information and jobs producing nothing: a check that fires on 100% of rows, a scheduled task that reports success while writing nothing, a branch that can never run.
Built after a real scheduled job discarded four days of data while reporting success every run. 108 tests, MIT, public.
A national crisis-resource directory — food, shelter, health, legal, support — built on federal data (HRSA, SAMHSA, USDA, EPA/Hunger Free America) and refreshed automatically.
60,000+ live records. Its public health endpoint reports freshness per source, so a stale feed cannot hide behind a fresh one.
How the multi-tenant reporting pipeline behind Automated Workflow is actually assembled — n8n, Google Sheets, an AI narrative step, and a human approval gate.
Written for someone deciding whether this is real engineering or a wrapper.