Automation Studio
Automate repeatable work safely
Build a visible trigger, filter, decision, approval, and action flow, then test and monitor every execution path.
Where to open it
Path
Open Settings > AI & Automation > Automation Studio. Contextual entry points also appear in Bot Settings and Chat Settings.
What it can do
- Start from a template, describe a goal for a safe AI draft, or configure an Automation from trigger through final action.
- Separate deterministic filtering from optional AI judgment so simple rules remain predictable.
- Inspect matched, stopped, approval, success, retry, and error states in Runs and Activity Log.
- Set daily and optional per-Run estimated-cost limits, then filter Runs that are active, completed, or need attention.
Step by step
- Choose a Bot-backed Agent, then create an Automation for one measurable outcome.
- Optionally describe the goal in plain language. Review the draft because AI cannot save or publish it automatically.
- Configure the trigger and deterministic filters before adding an AI decision.
- Select the destination action and an approval policy that matches its risk.
- Test both matching and stopped paths, confirm their regression evidence, publish, then monitor Runs before increasing scope or frequency.
Ask an external AI
Paste this prompt into ChatGPT, Claude, or another assistant that can open public web pages:
Read https://textxt.com/help/automation-studio and guide me step by step. Use only capabilities documented on that page, ask for missing context, and do not invent buttons or settings.Example questions
- Design a workflow that posts important order events into a Textxt topic without duplicating messages.
- What should I test before publishing a Gmail automation in Textxt?
Good to know
- A connected app does nothing by itself; a published workflow decides which events become Agent Runs.
- Use deterministic filters for sender, domain, category, keywords, or event type before paying for an AI decision.
- External and irreversible actions should remain behind explicit approval.
- A natural-language draft cannot change the selected source, destination, connector, approval, limits, or publish state.
Keep private data private.
Never paste Textxt passwords, OAuth tokens, API keys, private chat exports, or confidential attachments into an external AI just to ask how the product works.