How to Stop Babysitting Your A/B Tests: 3 Checks the Mida Agent Can Run for You
Quick answer
The Mida Agent is an AI teammate that lives inside the Mida app. You talk to it in chat to create tests, check results, and pull reports, and you can put it on autopilot with two features: Routines, which run the Agent on a schedule, and Workflows, which run it when something happens.
Think of these as add-ons to the way you already run experiments, not a replacement for it. You still plan, build, and analyze tests like you always have. The Agent is there to make the experience smoother.
Key takeaways
- Routines run the Agent on a schedule (max 3 per account); Workflows fire it on an event or schedule with branching logic.
- Three starter automations: the ready-to-call alert, the launch QA check, and the experiment debrief.
- The Agent does the busywork — you still make the call on what ships.
If you've run tests for a while, you already know where the hours go. It's rarely the hypothesis or the design. It's everything around them.
What's worth automating in an experimentation program?
Think about the tasks that repeat on every single test.
Checking whether a live test is ready to call. Sending the Monday status update. Making sure a new test actually launched the way you meant it to. Writing the debrief after it ends.
None of that takes much brainpower. All of it takes attention, and it's easy for it to slip when you're juggling five other things.
What can the Mida Agent do from chat?
Quite a lot, and it's worth knowing the range before you automate anything. According to Mida's help documentation, you can ask it to:
- Create experiments with variants, goals, targeting, and schedules, and start, pause, conclude, or reopen them
- Roll a winning variant out to full traffic
- Break results down by device, country, or traffic source
- Tell you whether a test is ready to call, using two checks: the chance of beating control has to clear your confidence threshold, and expected loss has to stay under 10%
- Suggest what to test next, starting from your own idea list and past wins and losses, and comparing against what's worked for other Mida customers
- Repair underperforming variants, and add or remove variants on an existing test
- Write PDF or CSV reports
You still make the call on what ships. The Agent's job is to get you the information, and to do the busywork, faster.
Free A/B Testing Tool
Run your next A/B test the right way
Visual editor, 15 KB script, GA4-native — and free forever up to 100,000 monthly visitors. No developer required.
What are Routines?
A Routine is the simplest way to automate the Agent: you put a request on a schedule. Once it's set, the Agent runs it on its own and emails you what it finds, acting only within the permissions you approved up front.
You set one up the same way you'd ask for anything else, by typing it into chat. The example in Mida's Routines guide is a good one: "Every Monday, check my live tests and email me the ones that are ready to call."
The guide suggests three starting points:
- A weekly status check across your running tests
- A daily traffic alert that flags data collection problems or conversion drops
- A watch on a single test until it's ready
One limit to plan around: you can have up to three Routines per account, so it's worth picking the checks you'd otherwise do manually every week.
How are Workflows different?
Routines run on a clock. Workflows are trigger-based automations with branching. They can fire on an event or a schedule, and deliver the outcome as an email or a note on the test itself.
You can build one two ways: describe it in plain English ("Email me a debrief when an experiment concludes"), or use the drag-and-drop editor. The editor works with a small set of building blocks: Start and End, the Agent itself, and three logic nodes (Condition, Merge, and Duplicate) for branching.
If you'd rather not start from a blank canvas, there's a template library organized by category: Reports, Alerts, QA, Monitoring, Ideas, and Hygiene. Examples include Experiment Debrief, Weekly Status Digest, Ready-to-Call Alert, and Launch QA Check.
You can also save a workflow without activating it, then toggle it on when you're happy with it.
Prefer to see it in action? Watch the video here.
Which 3 checks should you hand over first?
If you're not sure where to begin, here are three to start with.
1. The Ready-to-Call Alert. This saves you from the daily dashboard check, which is a habit that tends to lead to peeking at results early. A scheduled check against fixed criteria is a calmer way to keep an eye on things. (A weekly status digest works well alongside it.)
2. The Launch QA Check. Every new test gets a sanity check before it collects real traffic.
3. The Experiment Debrief. A short, consistent write-up when each test ends is the raw material for learning from your losing tests and for turning one result into your next three hypotheses.
The takeaway
Experimentation has a lot of small recurring jobs, and they're the first thing to slide when the team gets busy.
The Mida Agent, Routines, and Workflows are complementary features that sit alongside your testing, not in place of it. They're there to ease the A/B testing experience.
Handing the repetitive parts over, whether on a schedule with Routines or on an event with Workflows, doesn't replace your judgment. It just means the checks happen when they should, and you spend your time on the part that actually needs a person: deciding what to test and what the results mean.
Free A/B Testing Tool
Run your next A/B test the right way
Visual editor, 15 KB script, GA4-native — and free forever up to 100,000 monthly visitors. No developer required.
Related reading
- What Is Peeking in A/B Testing and Why You Shouldn't Peek!
- How to Learn from Losing Tests (Most Teams Don't)
- From One Winning Test to the Next Three: Using AI to Turn a Result Into a Backlog
- Why Most A/B Test Hypotheses Are Unfalsifiable (and How to Fix Yours)
