For people past the basics
A first Airtable base or a first Make.com scenario is usually straightforward. Problems tend to show up later: nested conditions, multiple linked tables, automations that call each other, or a scenario that needs to handle a failed request gracefully. These deep dives address that second stage.
Airtable
A single approver is simple. Two or three approvers in sequence, each depending on the previous one's decision, requires a linked "Approvers" table, a lookup field showing whose turn it is, and an automation that only notifies the next person once the prior status flips. This deep dive walks through the table relationships involved and the automation logic step by step, including a note on where circular references tend to appear.
Rollup fields that summarise linked records are convenient, but stacking several rollups on top of each other across large tables can make a base feel sluggish. This guide explains how rollups are calculated behind the scenes and offers a few structural alternatives.
Every plan tier has a ceiling on monthly automation runs. This piece explains how runs are counted, what typically consumes them fastest (per-record triggers on large tables), and how to check current usage inside the base itself.
Notion
Connecting a Projects database to a Tasks database to a People database sounds neat until the rollups start pulling from rollups. This walkthrough shows how to trace where a value actually originates when three databases are linked together.
Notion's sharing model works differently depending on whether you're restricting a page or a specific database view. This reference explains the practical difference and where confusion commonly arises in shared team workspaces.
Some teams pull data out of Notion into another tool for reporting. This guide covers the shape of a basic API read request, including authentication and pagination, described without assuming prior programming experience.
Make.com
A scenario that works in testing can still fail in production when an external system times out. This deep dive covers Make.com's error handler routes, the difference between "resume" and "ignore," and a simple retry pattern for unstable connections.
Make.com bills based on operations and data transfer rather than a flat monthly fee for automations. This reference explains how a single scenario run can consume more than one operation, and where that count adds up fastest.
Linking a form tool, a database and a calendar in a single flow multiplies the places something can go wrong. This walkthrough shows a way to structure the modules so each step is easy to isolate and test on its own.
