The Awkward Problems in Calendar-Based Attendance Tracking
The awkward audit, approval, and exception-handling problems that appear when Google Calendar becomes attendance tracking.
What works, what doesn't, what it costs, honestly. (Archive)
The awkward audit, approval, and exception-handling problems that appear when Google Calendar becomes attendance tracking.
Why AI-generated sales emails get no replies when targeting, context, personalization, and send quality are weak.
How one shared Google Sheet link can leak company data through permissions, copies, and forgotten access.
The real cost tradeoff between Make.com subscriptions and Apps Script ownership across speed, exceptions, and maintenance.
Why internal dashboards get abandoned after a few months, from data trust to speed and decision ownership.
When form auto-replies damage customer trust, and what response rules should be set before automation.
How to tell when free automation is approaching the point where a paid plan or a separate system is safer.
Why shortening prompts to save AI cost can backfire through lower quality, rework, and harder debugging.
Why spreadsheet inventory numbers drift, from missing stock logs to concurrent edits, cancellations, and returns.
Why quickly vibe-coded Apps Script projects become maintenance problems after the first successful demo.
Why Google Calendar booking automations can double-book, and where the workflow needs stronger safeguards.
Why adding more SaaS tools often fails to raise revenue, viewed through bottlenecks, cost, and workflow design.
Why Google Forms responses get messy in days, and what to normalize immediately after collection.
Why ChatGPT API bills quietly grow, and how token tracking, caching, retries, and model routing keep them under control.
The permission, approval-history, and audit-log risks that appear when a spreadsheet becomes an approval workflow.
A practical guide to when no-code automation is still the right tool and when Apps Script becomes the better owned workflow.
Where free Apps Script automation turns into real operating cost: triggers, external APIs, maintenance, and ownership.
A SaaS subscription is a fixed cost you rent every month. Build the same job once as a tool that runs inside your own Google account and small-scale upkeep is near zero — though never 100% always free. How to decide rent vs own.
GAS automation runs at zero upkeep, but adding AI introduces one variable cost: a per-call fee. It's usually pennies. Decide the model, the volume, and whose key, and the monthly bill is predictable up front. Plus: the data leaving your account, and keeping a human approval gate.
How to automate repetitive work — orders, bookings, inventory, settlement, field input — with Google Apps Script (GAS). What it does, how far it stays free, and where it hits limits, in one place.
A single-user app just needs a screen. An inspection app where several people write the same data hinges on sharing, collisions, and reports. Even so, narrow the scope and you can start with GAS, Sheets, and Drive at no running cost. There's a public demo you can try yourself.
One store or warehouse: stock in/out, low-stock alerts, and settlement: is fine with Sheets automation. Tens of thousands of SKUs and real-time multi-site is the limit.
It's free because there's no server to rent. Small workloads fit the Google free quota. Bulk sending, org features, and paid external APIs are the exceptions.
Three different cost structures. SaaS bills monthly, building costs your time, commissioning costs once. Standard features favor SaaS; tailored long-term use favors commissioning.