A lot of travel advisors tell me the same thing. Their AI employee says it's unable to do something. Can't view this webpage. Can't do this. And then it just stops, and the task lands right back on their desk.
There's a way to fix that, and it takes one paragraph. You can teach your AI employee to unblock itself.
“There is a way that you can unblock your agent, and you can have them unblock themselves.”
Why it stops in the first place
An AI employee does what its instructions tell it to do. If nothing in those instructions says what to do when it hits a wall, it does the polite thing and reports the wall. Nothing is broken. There's an instruction missing, the same way a new hire would come back and ask if nobody told them they were allowed to figure it out.
How it works
What happens when it hits a wall
- Blocked"Can't do this"
- Stopdon't just quit
- Researchwhy, and a fix
- Guardrail checksafe, and in its job?
- Act or askSafe: do itRisky: ask first
Claire's own numbers
What the AI employee does when it gets blocked
- 1
Stop
don't report the wall and quit
- 2
Research
find out why it's blocked and look for a fix
- 3
Check the guardrail
is the fix safe and inside its job?
- 4
Act or ask
take the safe action, or bring the solution back for permission
Claire's unblock rule, in the order her AI employee follows it.
Source: Claire B. Soares, from her own travel business and live trainings.
The one rule I add to the instructions file
In my instructions file, I let my AI employee know that if it gets blocked, it needs to stop, go research the problem, and figure out a solution. Then it either comes back to me with that solution or takes the action itself, as long as the action isn't going to do something harmful. If the fix needs my permission, it asks.
Written out, the rule reads like this:
- If you get blocked or can't complete a step, don't stop and report it. Stop, research why, and look for a solution.
- If the solution is safe and inside your job, take the action and tell me what you did.
- If the solution needs my permission, or it could do something harmful, come back to me with the solution and ask before you act.
What changes once it's in there
Any time it gets blocked, it goes looking for the answer first. Instead of a dead end, I get a message that says here's what happened, here's the fix, can I go ahead. Most days I just say yes. That's the difference between an assistant that hands work back and an employee that hands you options.
The guardrail matters more than the rule
Don't skip the last line. You want your AI employee to be resourceful without getting reckless. Anything that sends a message to a client, spends money, deletes something, or changes a booking should always come back to you first. It works things out inside the lines, and it asks at the edges.
A note before you try this
Put the rule wherever your AI employee reads its standing instructions, the file or settings it follows every time it starts work, not in a single chat where it'll be forgotten. Then test it on one task you know it gets stuck on and read what it comes back with. Watch the first few times it acts on its own before you stop checking.
Want help setting it up?
Writing instructions that actually work is the whole game with AI employees, and this rule is one small piece of it. In my free AI Masterclass I walk travel advisors through building their AI employees live, instructions file included. Come build yours with me.
Common Questions
Why does my AI employee say it can't do a task?
Usually because its instructions never told it what to do when it hits a wall, so it reports the problem and stops. Adding a rule that tells it to research a solution first changes that behavior, the same way you'd tell a new hire they're allowed to figure things out.
What should I add to my AI instructions so it unblocks itself?
Add a rule that says: if you get blocked, stop, research why, and look for a solution. If the fix is safe and inside your job, do it and report back. If it needs permission or could cause harm, bring the solution back and ask before acting.
Is it safe to let an AI employee fix its own problems?
It is when the rule includes a guardrail. Anything that messages a client, spends money, deletes something, or changes a booking should come back to you for approval. The AI stays resourceful inside clear lines and asks at the edges, so you keep the judgment calls.

Written By
Claire B. Soares
Claire B. Soares is the founder of Travel AI University, a 6x Condé Nast Traveler Top Travel Specialist, and a Certified AI Consultant with a B.S. in Computer Science. A top 10% enterprise sales executive, she sold $3.4B+ in enterprise software to Google, Microsoft, IBM, Boeing, the federal government, and the DoD, then built $16M+ in luxury travel sales.
About Claire
