Scheduled welcome text
A timer starts a fixed message. No text generation or per-send approval is involved.
Bot Fieldnotes
YOUR WORKING TOOL
Classify a workflow
Map a proposed workflow to an automation category. Classification is not permission to use it on a platform.
TRY A WORKED SCENARIO
Start with an example
Fictional inputs, explained below. Loading an example replaces the form. Your edits stay in this tab.
A draft waiting for review
A conversation starts a generated draft; a person still owns the final send.
Tagging without sending
An analysis task adds a tag. Check downstream rules before treating it as passive reporting.
WORKING RESULT
Your scenario
Adjust the inputs to see your result. The method and assumptions are described below.
No account connection. No messages sent. Your inputs are processed in this tab.
PATTERNS & EXPLANATIONS
Field notes
Look beyond the label. Understand what a bot does, what its logs reveal and what a message cannot prove.
Explore the blogWorkflow patterns
Scheduled messages, rules and AI: trace what causes the next action
Understand the difference between a clock-based message, an event rule and a generated reply by mapping inputs, decisions and failure cases.
Understanding evidence
Can you detect an OnlyFans bot from its messages? What the text can tell you
Understand why fast replies, repeated phrasing and polished text are clues rather than proof of a bot, and what stronger evidence would look like.
Reading system records
Reading a bot activity log: triggers, attempts and confirmed outcomes
Learn which fields explain an automated action, why accepted is not always delivered and how missing records should affect your confidence.